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Epstein–Barr virus-acquired immunodeficiency in myalgic encephalomyelitis—Is it present in long COVID?

Abstract

Both myalgic encephalomyelitis or chronic fatigue syndrome (ME/CFS) and long COVID (LC) are characterized by similar immunological alterations, persistence of chronic viral infection, autoimmunity, chronic inflammatory state, viral reactivation, hypocortisolism, and microclot formation. They also present with similar symptoms such as asthenia, exercise intolerance, sleep disorders, cognitive dysfunction, and neurological and gastrointestinal complaints. In addition, both pathologies present Epstein–Barr virus (EBV) reactivation, indicating the possibility of this virus being the link between both pathologies. Therefore, we propose that latency and recurrent EBV reactivation could generate an acquired immunodeficiency syndrome in three steps: first, an acquired EBV immunodeficiency develops in individuals with “weak” EBV HLA-II haplotypes, which prevents the control of latency I cells. Second, ectopic lymphoid structures with EBV latency form in different tissues (including the CNS), promoting inflammatory responses and further impairment of cell-mediated immunity. Finally, immune exhaustion occurs due to chronic exposure to viral antigens, with consolidation of the disease. In the case of LC, prior to the first step, there is the possibility of previous SARS-CoV-2 infection in individuals with “weak” HLA-II haplotypes against this virus and/or EBV.

Introduction

Myalgic encephalomyelitis or chronic fatigue syndrome (ME/CFS) is a chronic, multisystem disease characterized by unexplained, disabling fatigue and a combination of nonspecific symptoms lasting at least 6 months [1, 2]. The main symptoms are fatigue, post-exertional malaise, cognitive dysfunction, sleep disturbances, generalized pain, and gastrointestinal discomfort [3,4,5]. The prevalence of patients with ME/CFS in the USA is estimated to be between 1.7 million and 3.38 million [6], corresponding to a range from 0.1 to 2.5% in the general population, depending on the diagnostic criteria applied [7]. The main causes are latent herpesvirus infection [2, 8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34], a chronic inflammatory state [1, 35,36,37,38,39,40,41,42,43,44,45,46], hypocortisolism [35, 47,48,49,50,51,52,53,54,55,56,57,58,59,60], autoimmune antibodies [13, 20, 24, 29, 35, 61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77], genetic predisposition [8, 35], or microclot formation [33, 78, 79].

SARS-CoV-2 infection, which causes a multisystem disease known as COVID-19 [80], is responsible for a worldwide pandemic with substantial mortality and morbidity [81]. Of all COVID-19 cases, approximately 81% have mild disease, 14% severe disease, and 5% develop critical illness [82]. It has recently been observed that approximately half of recovered COVID-19 patients continue to experience at least one long-term symptom [83, 84]. Within this group, long-lasting fatigue is particularly common, affecting 28.3% of patients [83]. The most common persistent symptoms are asthenia, dyspnea, pain, exercise intolerance, sleep disturbances, smell disturbance, taste disturbance, cognitive dysfunction, and neurological and digestive disturbances [5, 85,86,87,88,89]. Several terms, such as long COVID [89, 90], long-haul COVID-19 [91, 92], post-COVID syndrome [93], and post-acute sequelae of SARS-CoV-2 infection (PASC) [94], are used to refer to the persistence of these symptoms more than 12 weeks after SARS-CoV-2 infection [95, 96]. Although its origin is still unknown, among the main causes related to long COVID (LC) are the persistence of chronic SARS-CoV-2 infection [33, 97,98,99,100,101,102,103,104,105], autoimmunity [106,107,108,109,110,111,112,113,114,115,116], chronic inflammatory state with immune alteration [110, 117,118,119,120,121,122,123,124,125,126,127], Epstein–Barr virus reactivation [128,129,130,131,132,133,134,135,136,137,138,139,140], hypocortisolism [128, 133, 141,142,143], or microclot formation [33, 144,145,146,147,148,149].

The similarity in both symptoms and the different causes of ME/CFS and long COVID (LC) have led to searches for some connection between these two diseases [5, 33, 124, 139, 150,151,152,153,154,155,156,157,158,159]. The results of these studies suggest a high degree of similarity between LC and ME/CFS. Of the 29 symptoms observed in patients with ME/CFS, 25 were reported in patients with LC [156]. In addition, there are several articles that have linked EBV reactivations to the development of LC [138, 160,161,162]. Therefore, given the relationship of EBV with both diseases [2, 8,9,10,11,12,13,14,15,16,17,18, 20,21,22,23,24,25,26,27,28, 30,31,32,33, 128,129,130, 133,134,135,136,137,138,139,140], we propose that latency and recurrent EBV reactivation could generate both an acquired immunodeficiency syndrome in genetically predisposed individuals ME/CFS patients and, second, immunosuppression due to SARS-CoV-2 in the case of LC patients.

It should be mentioned that not only EBV infection has been linked to ME/CFS, but also human herpesvirus (HHV)-6, cytomegalovirus (CMV), human parvovirus B19, and enteroviruses [22, 23, 28, 163,164,165,166,167,168], as well as bacterial and parasitic infections [169]. However, as in the case of LC, in these other post-infectious subgroups of ME/CFS, EBV could also play a possible role in immunological alterations and symptomatology, since the virus is present in 90% of the population [170] and therefore could be reactivated in the presence of immunosuppression [128,129,130, 133,134,135,136,137,138,139,140].

Common model of EBV-acquired immunodeficiency

Epstein–Barr virus (EBV) is known to be involved in the development of some autoimmune diseases and certain cancer and is suspected to underlie the development of chronic fatigue syndrome/myalgic encephalomyelitis and LC [2, 8, 23, 26, 33, 129, 133, 134, 136,137,138, 171,172,173,174,175,176,177,178,179,180,181,182]. However, the pathways it exploits leading to the development of these diseases remain unclear, although it is thought to be mainly related to the genetic susceptibility of an individual [171].

HLA-II genes are highly polymorphic due to coexistence with different pathogens as humans moved to different regions, leading to the emergence of new alleles providing resistance to these pathogens [183, 184]. DR2-DQ6, DR3-DQ2, and DR4-DQ8 are among the oldest extant haplotypes [185]. These ancestral haplotypes have survived over time by being able to recognize a greater number of antigens than other haplotypes, enabling them to detect and eliminate a greater number of pathogens [183]. For example, HLA-DR4 alleles are associated with increased clearance of hepatitis B virus infection [186], and HLA-DRB1*0401 or DRB1*1501 alleles are associated with increased clearance of hepatitis C virus infection [187]. Surviving a greater number of pathogens has allowed these ancestral haplotypes to be inherited from generation to generation, but with the disadvantage that those older pathogens with which they have coexisted have also acquired resistance against them via co-evolution of their evasion mechanisms [171, 183]. One of these pathogens is EBV, which is the only member of the genus Lymphocryptovirus adapted to humans and was transferred to a hominid ancestor millions of years ago [188]. Its gp42 protein is an evasion mechanism that has evolved against these ancestral haplotypes, as the virus infects cells through the interaction of its viral protein gp42 with the β1 domain of HLA-II in the cell [189,190,191]. In this way, its membrane fuses with that of the cell, forming a new gp42–HLA-II complex that alters antigenic presentation to CD4 T cells (Fig. 1) in individuals carrying these alleles [189, 190, 192], managing to suppress the activation (HLA-DR) of CD4 T cells and the presentation of EBV nuclear antigen (EBNA)-1 on HLA-II molecules [171]. Not presenting EBNA-1 to CD4 T cells via HLA-II allows these cells with latency I to forgo elimination, since CD4 T cells are the only ones capable of recognizing this latency [171, 193]. This allows any inflammatory stimulus (such as another infection) in any tissue to recruit leukocytes (among which are cells with EBV latency), ultimately leading to the formation of EBV-infected ectopic lymphoid structures (Fig. 2) [171,172,173,174,175,176, 194,195,196]. When unrecognized, they proliferate in these ectopic lymphoid structures, triggering the activation and release of IFN-γ by NK cells to restrict the transformation of B cells by the virus and as a response to the first inflammatory stimulus [197, 198]. In addition, the presence of foreign antigens from the first inflammatory stimulus leads to terminal differentiation and activation of EBV latent B cells, allowing the transition from the latent to the lytic phase of the virus, originating foci of viral reactivation [171, 172, 194]. Therefore, exposure to foreign antigens from the first stimulus or to EBV viral antigens leads to activation of CD4 T cells and IFN-γ release, provided that the cells presenting these antigens to CD4 T cells are not previously infected with EBV, since the gp42–HLA-II complex in these cells would prevent their activation [171, 194]. Both IFN-γ released by NKs and CD4 T cells upregulates HLA-II expression in adjacent cells (such as epithelial cells), which favors the acquisition of a nonprofessional antigen-presenting cell phenotype [199, 200]. The increased expression of HLA-II in these cells allows the newly generated viral particles to infect more cells through the gp42–MHC-II interaction, which ultimately leads to an increased number of latent cells that perpetuate the inflammatory state in that tissue by releasing proinflammatory substances (Fig. 1), such as Epstein–Barr virus-encoded small RNAs (EBERs) [201,202,203], producing abortive reactivation, in which the resulting proteins can cause inflammation [204, 205] or induce the release of new virions that provoke an immune response [171]. This chronic inflammation provokes a chemokine response, leading to an increase in the recruitment of a greater number of B cells, allowing the perpetuation of viral infection and, ultimately, the formation of EBV reservoirs in these tissues [171, 194]. Increasing the number of EBV-dormant cells would also increase the evasion mechanisms of these cells by decreasing the activation and cytotoxic capacity of EBNA-1-specific CD4 T cells through the release of IL-10 (increased humoral Th2 response), chemotaxis of regulatory T lymphocytes (Treg) due to increased CCL20 expression in EBNA-1-mediated EBV latency cells, and release of EBV miRNA contained in exosomes, which could suppress the expression of target genes in the viral or host genome to maintain latent EBV infection [206,207,208]. Consequently, the greater the number of antigen-presenting cells infected by this virus, the lower the activation of CD4 T cells, either by inhibition of the TCR–HLA-II interaction by the gp42–HLA-II complex or due to the evasion mechanisms of these latently infected cells. Thus, an acquired immunodeficiency in CD4 T-cell function develops, leading to increased proliferation of latent EBV cells, which increases the risk of neoplastic transformation or autoimmune disease in these tissues [171].

Fig. 1
figure 1

Schematic model of the development of acquired immunodeficiency following EBV infection

Fig. 2
figure 2

Development of Epstein–Barr Virus (EBV)-induced acquired immunodeficiency in patients with genetic susceptibility. A Primary infection by EBV. EBV is transferred to the host via the saliva of an infected carrier, initially infecting the epithelial cells of the pharynx and subsequently naïve B lymphocytes in the tonsils, through interactions between the virus’s glycoproteins gp350 and gp42 and the host cells’ CD21 and Class II MHC (MHC-II) molecules, respectively. Lytic infection creates new viral particles that continue to infect more epithelial cells. Subsequently, the EBV-infected B cells enter a state of peripheral latency, during which they express a set of specific viral genes, including LMP1, LMP2A, EBNAs, and EBER (latency III). These latency III B cells progress through the germinal center reaction to latency II and emerge as memory B cells with latencies I/0 that establish a lifelong latent infection (B). The healthy host’s immune response is sufficient to control the EBV infection. NK cells in tonsil produce high levels of IFN-γ that withhold the transformation of B cells by EBV during earlier stages of the infection. Type III and II latency B cells are regulated by NK and T cells specific for latent proteins. However, memory B cells with type I latency are only controlled by activated EBNA-1 specific CD4 T cells. EBV-infected plasma cells can periodically enter in lytic phase, but are controlled by CD4 and CD8 T cells with specificity for EBV lytic proteins. C Development of EBV-induced acquired immunodeficiency and autoimmunity in the mucosa of genetically susceptible patients. (1) An inflammatory stimulus or other infection (SARS-CoV-2) recruit leukocytes in the mucosa, including latency I (EBNA-1) B cells and healthy B cells. (2) In the mucosa, B cells form ectopic lymphoid aggregates that enable the generation of antigen-specific immune responses. These ectopic lymphoid structures create a favorable environment for the transformation of EBV latent B cells into proliferating blasts, to become memory B cells. (3) Furthermore, activation of NK cells occurs in response to both the initial inflammatory stimulus and to restrict B cell transformation by EBV. Exposure to foreign antigens from the initial stimulus or to viral antigens from EBV leads to the activation of CD4 T cells and the release of IFN-γ, followed by upregulation of MHC-II on epithelial cells, promoting the acquisition of a non-professional antigen-presenting cell phenotype. (4) Additionally, the presence of foreign antigens could also trigger terminal differentiation and activation of latent EBV B lymphocytes, allowing the transition from the latent phase to the lytic virus phase. (5) Subsequently, newly generated viral particles infect more epithelial cells through gp42/MHC-II interaction, leading to increased inflammation and ultimately to latent EBV infection. Moreover, this chronic inflammation induces a cytokine response, leading to further recruitment of B cells and perpetuation of viral infection. (6) Latent EBV epithelial cells could enter a lytic phase, releasing new virions, undergoing lysis due to T cell response, or experiencing neoplastic transformation. (7) Immune evasion mechanisms of EBV latency (epithelial and B cells) involve a decrease in activation and cytotoxic capability of EBNA-1-specific CD4 T cells through the release of IL-10 and EBV miRNAs contained in exosomes, which could suppress the expression of target genes in the viral or host genome to maintain latent EBV infection. (8) This altered immunosurveillance leads to increased proliferation of EBV-latent B- and epithelial cells, which raises the risk of neoplastic transformation or autoimmune disease in genetically predisposed patients with ancestral MHC-II alleles susceptible to EBV. (9) The presentation of native cellular autoantigens or viral EBNA-1 through MHC-II/gp42, which can undergo post-translational modifications, such as citrullination, and form neoantigens, could trigger the activation of autoreactive CD4 T cells and the formation of autoantibodies against tissue cells. (10) Other virus latency phases or the lytic phase would be controlled by NK and CD4 and CD8 T cells, specific for the EBV lytic proteins. (11) In women, estrogens elevate the risk of developing EBV-induced acquired immunodeficiency by reducing the CD4/CD8 T lymphocyte ratio, increasing the survival of B cells, promoting the release of antibodies, and increasing the expression of the major histocompatibility complex class II

Sex differences in immunodeficiency

The characteristics of this acquired immunodeficiency could vary according to biological sex (Fig. 3). In fact, estrogens decrease the CD4/CD8 T-lymphocyte ratio and increase B-cell survival, antibody release, and expression of the class II major histocompatibility complex [209,210,211]. In women, this increase in antibody levels would increase their resistance to viral infections under normal conditions, but under pathological conditions there is increased B cell survival, decreased CD4 T cells, and increased estrogen-induced HLA-II expression, which confer certain disadvantages against EBV, as they increase the survival of EBV-transformed B cells, and the increase in HLA-II expression allows more cells to become infected [171, 209]. In addition, increased HLA-II expression can lead to increased presentation of native cellular autoantigens or viral antigens, which can undergo posttranslational modifications, such as citrullination, and form neoantigens, through the endogenous antigen processing pathway, triggering the activation of autoreactive cells [171, 212,213,214,215]. Therefore, both the increase in the survival of transformed B cells and the increase in antigen presentation generated by the increase in HLA-II expression by estradiol may favor an increase in the presentation of both self and foreign antigens during an infectious process, and those “abnormal” plasma cells producing autoantibodies survive longer, which consequently increases the probability of women developing autoimmune diseases or even cancer [171]. In the case of androgens, testosterone regulates the immune system by increasing the Th1 response and CD8 T cell activation while downregulating the NK cell response and HLA-II expression [209] . As antigen-presenting cells are important for the differentiation of CD4 or helper T cells into Th1 or Th2 cells, depending on the cytokines they release, sex hormones could determine whether CD4 T cells differentiate more into Th1 or into Th2 [209]. Thus, women have a higher incidence of sex-related diseases but generate a more effective response against extracellular infections by having more antibodies (Th2 response) [209]. The female immune system might however be more ineffective against intracellular pathogens than in the male immune system, as more cellular (Th1) response is needed to eliminate virus-infected cells [209].

Fig. 3
figure 3

Sex hormones and their impact on immune responses. This figure provides an overview of the influences of estrogens and testosterone on immune responses, highlighting their effects on susceptibility and resistance to various conditions and pathogens

In addition to these considerations, the menstrual cycle in women may also affect acquired immunodeficiency [216]. During the cycle, elevated estrogen and progesterone levels induce Th2-type responses, whereas low estrogen concentrations induce Th1-type responses [216]. In addition, progesterone suppresses Th1-type responses by stimulating regulatory T cells and increasing Th2-type responses [216]. Therefore, there is a predominantly Th1 response during the beginning of the follicular phase, the end of the luteal phase, and menstruation, since estrogen and progesterone levels are not elevated [216]. In contrast, during the late follicular phase, ovulation, and in the luteal phase, there is a predominantly Th2 environment, which causes some immunosuppression [216]. For this reason, during the phases with a predominant Th2 response, greater immunosuppression can appear, causing outbreaks of viral reactivation as occurs, for example, with the herpes simplex virus type 1, which in these phases usually causes vesicles to appear on the lips [217]. Therefore, if there is a previous immunodeficiency, it would worsen during these phases.

Consequences of EBV-acquired immune deficiency

Development of autoimmune diseases

Since EBV was transferred to a hominid ancestor millions of years ago, and as the DRB1*04, *03 and *02 lineages are the oldest [185], it may be thought that those individuals with the DR2-DQ6, DR3-DQ2, or DR4-DQ8 haplotypes—against which the immune evasion mechanisms of this virus have evolved the most—may be less resistant to infection, and have a higher risk of developing EBV-associated diseases [190, 191, 218]. These ancestral haplotypes, which contain HLA-II alleles that bind EBV epitopes suboptimally [190, 191, 218], are the main ones linked to the development of autoimmune diseases, but not all individuals carrying these haplotypes develop these diseases, indicating that they are caused by an environmental factor—infection [183]. EBV is the main suspect, as it is closely related to the alleles of the β1 domain of HLA-II [8, 171] and could explain why EBV-associated autoimmune diseases are related to the β DRB1* and DQB1* alleles [190, 191, 218]. In addition, glutamic acid 46 (E46) and arginine 72 (R72) of HLA class II are essential for a stable interaction between Gp2 and MHC-II, where R72 is conserved in all HLA-DR,-DP alleles, but E46 is conserved in all HLA-DR,-DP alleles and only in a small subset of HLA-DQ alleles: β * 02 (β * 0201, β * 0202, and β * 0203) [219,220,221]. This suggests that individuals with HLA-DQ β * 02 alleles may have an increased susceptibility to infection in tissues with unique HLA-DQ expression [221].

Therefore, depending on the tissue infiltrated by the B cells with EBV latency in an individual with EBV “weak” HLA-II alleles, the formation of EBV-infected ectopic lymphoid structures and an infection of other cell types by the increased expression of HLA-II as a result of increased IFN-γ, one type or another of EBV-associated disease may develop [171,172,173,174,175,176, 195]. Presentation through MHC-II of native cellular autoantigens or viral EBNA-1 (Fig. 2), which can undergo posttranslational modifications, such as citrullination, and form neoantigens, could trigger the activation of autoreactive CD4 T cells and the formation of autoantibodies against tissue cells [171, 212,213,214,215]. EBNA-1 exhibits molecular mimicry with self-antigens [212, 222,223,224,225,226], generating IgG against these self-proteins, and/or a specific cellular response.

Chronic response of innate immunity due to loss of adaptive functions

Increased proliferation of latency I B cells as a result of low recognition by EBNA-1-specific cytotoxic CD4 T cells could lead to an increase in latency II and III and lytic phase cells. This leads to the continuous activity of NK cells and T cells (CD4 and CD8) with specificity for EBV latent and lytic proteins [198]. Therefore, lack of control of latency I cells leads to persistent infection, where chronic exposure to these viral antigens could lead to a “depletion” of antiviral T cells, as occurs in chronic infections where the individual fails to generate a robust antiviral response [227]. In chronic viral infections, there is usually an increase in the generation of short-lived effector cells and exhausted T cells, decreasing the formation and function of memory T cells, which are those most needed to control future exposures to the same virus and latencies to other viruses [171, 228]. These depleted antiviral T cells (PD-1+/Tim-3+) are functionally ineffective, as they are unable to activate and exert their cytotoxic functions in response to antigenic stimulation [227, 229], thus allowing the infection to become even more chronic. In our model, T-cell depletion is preceded by a failure of CD4 T-cell activation and response, as CD4 T cells are essential for maintaining CD8 T-cell cytotoxic responses [230]. Therefore, chronic antigenic stimulation by EBV in the absence of CD4 T-cell support results in a complete loss of antiviral adaptive functions in infected tissues [230].

Since adaptive immunity fails to control viral infection, a continuous innate immune response is generated. EBERs (EBER1 and EBER2) are noncoding double-stranded RNAs released by EBV latency cells in these ectopic lymphoid structures and are the main molecules that activate innate immunity through Toll-like receptors 3 (TLR3) and retinoic acid-inducible protein-1 RNA helicase (RIG-I) [231, 232]. Activation of these receptors results in some cells (such as epithelial cells or cells of the innate immune system) producing IL-32, a cytokine that activates/differentiates monocytes into macrophages and induces the production of proinflammatory cytokines such as IL-1, IL-6, and TNFα by activating NF-κB in differentiated macrophages [231,232,233]. This results in the recruitment of macrophages into infected tissues that aid in maintenance of the chronic inflammatory state by releasing these proinflammatory cytokines [231]. In addition, IL-32 is implicated in the maintenance of EBV latency by inactivating the activity of the Zta promoter, which is required to initiate the lytic phase [234]. In this way, it further evades adaptive immunity.

On the other hand, EBERs can also cause monocytes to become activated and differentiate into dendritic cells via activation of TLR3 receptors, which results in the release of high levels of IL-12 leading to activation of NK cells (CD16-CD56bright) [233]. Activation of NK cells limits B cell transformation and proliferation by releasing IFN-γ, which allows delayed expression of the latent membrane protein 1 (LMP1) on newly infected cells [233]. This restricts infection until adaptive immunity kicks in. In our model, however, there is acquired immunodeficiency, which compromises adaptive immunity, thus chronifying the innate immune response with continued release of proinflammatory cytokines (IL-6, TNFα, and IFN-γ) and preventing the infection from ever resolving.

IL-6 can be secreted both by monocytes activated by EBERs via TLR3 and by EBV-immortalized cells [233]. In the latter, it acts as an autocrine growth factor [233, 235]. It also favors the Th2 response of CD4 T cells by promoting IL-4 expression and by preventing CD4 T cells from responding to IFN-γ, thus impeding Th1 responses [236]. Therefore, increases in the level of IFN-γ released by NK cells do not favor the Th1 response of CD4 T cells due to increased IL-6 levels and the evasion mechanisms of latent cells that promote a Th2 response.

Reactivation in the presence of transient autoantibodies

One of the consequences of the decrease in the activation and function of cytotoxic CD4 T cells is the loss of immunosurveillance of latent infections of other pathogens (Fig. 1) in the individual, since these cells are necessary to control cells with latency or in lytic phase of Parvovirus B19, EBV, cytomegalovirus, and other herpesviruses [237,238,239]. Thus, it will eventually lead to an increase in viral reactivation depending on the degree of immunodeficiency present in the individual [239]. This is supported by the fact that reactivation of latent pathogens increases during periods of increased immunodeficiency, which results in disease outbreaks throughout the year depending on whether they are reactivated or not, as occurs in systemic lupus erythematosus [240].

In addition, transient autoantibodies such as rheumatoid factor, antinuclear antibodies (ANA), antiphospholipid antibodies, and antineutrophil cytoplasmic antibodies (ANCA) may be generated during these viral reactivation, which disappear after infection control but may contribute to symptoms during disease flares [241,242,243,244]. In the case of ANCAs, they are not only produced during reactivation of these viruses but also by EBV latent B cells [245].

Abortive lytic replications

Due to the loss of detection of EBV latency cells in immunosurveillance, abortive lytic replications may increase, releasing dUTPase proteins from EBV into the environment [10]. These dUTPases are only expressed during lytic replications or abortive lytic replications and can also increase the secretion of the proinflammatory cytokines (IL-1β, IL-6, IL-8, IL-12, TNF-α, and IFN-γ) and IL-10 (Fig. 1) by human dendritic cells, macrophages, and peripheral blood mononuclear cells (PBMC) via TLR2 activation [10, 246]. In this way, they also contribute to the chronic innate response and symptomatology.

Insulin resistance and hyperinsulinemia

High levels of IFN-γ produced by NK cells in response to persistent infection cause insulin resistance in skeletal muscle by downregulating insulin receptor transcription in myocytes [247, 248] but without this occurring in the liver, as it does in type 2 diabetes mellitus [247, 249]. To compensate for insulin resistance in muscle and maintain euglycemia, the pancreas increases insulin production, causing compensatory hyperinsulinemia [247,248,249]. However, hyperinsulinemia can reduce glycogenolysis in the liver, leading to reduced production of glucose and decreased levels in peripheral blood (transient hypoglycemia), which promotes fasting metabolism [249]. Under normal conditions of infection, transient hypoglycemia is beneficial, as it amplifies the cellular stress response of infected cells, leading to increased production of antiviral cytokines such as type I interferons, thus impairing viral replication [249]. That is, the higher the glucose levels, the higher the replication rate. In immunocompetent patients, the occurrence of hyperinsulinemia serves to enhance the innate immune response and enhance the antiviral effector response of CD8 T cells, as insulin receptor and CD28 signaling converge on PI3K [247, 248]. However, EBV has evolved to evade this cytokine, as IFN-γ upregulates HLA-II expression in adjacent cells, allowing the virus to infect more cells through the gp42–MHC-II interaction [201,202,203]. Furthermore, in our model of acquired immunodeficiency in CD4 T-cell function, CD8 T cells are “exhausted” and do not respond well to stimuli without the help of CD4 T cells. Hence, hyperinsulinemia and transient hypoglycemia persist over the long term. Thus, a chronic state of hyperinsulinemia coupled with increased glucose consumption via aerobic glycolysis (Warburg effect) in EBV-transformed cells could cause recurrent transient hypoglycemia (Fig. 1), leading to various symptoms [250, 251].

Autonomic and central nervous system symptoms

The consequences of chronic hyperinsulinemia are that individuals are more susceptible to adrenal crisis due to a deficient cortisol response to hypoglycemia or any physical or mental stress process [252, 253]. Recurrent transient hypoglycemia can generate different symptoms through neuroglucopenic or autonomic pathways [252]. Autonomic symptoms caused by sympathetic activation may include tachycardia, anxiety, tremors, sweating, nausea/vomiting, and hypothermia [252]. Symptoms at the central nervous system level include headaches, lethargy, chronic fatigue, neurocognitive dysfunction, and motor/sensory/visual disturbances, among others [252].

The inability of insulin to effectively stimulate glucose uptake in skeletal muscle due to insulin resistance could result in decreased physical performance [254]. In addition, both EBV-induced vascular damage and clogging of amyloid microcoaguli could reduce muscle blood flow and oxygen diffusion, which could also negatively affect skeletal muscle performance [147, 255, 256]. Even during physical exercise, there is increased release of proinflammatory cytokines such as IL-6 in skeletal muscle, worsening already existing inflammation and thus further exacerbating symptoms [257]. This release of proinflammatory cytokines is directly proportional to exercise intensity and duration [257]. Thus, muscle insulin resistance, reduced oxygen diffusion, and increased proinflammatory cytokines during physical exercise could lead to the development of exercise intolerance or post-exertional malaise, which is worse after aerobic exercise.

Vascular damage and microclot obstruction could also occur in other tissues where lack of oxygen transport could lead to organ dysfunction, postural tachycardia syndrome, muscle myalgia, neurological disorders, cognitive impairment, and lactic acidosis [147, 258]. This, together with increased oxidative stress, could lead to an increase in visual problems as a consequence of oxidative stress damage to the retina, as occurs for example in patients undergoing prolonged chronic treatment with chloroquine [259, 260].

Therefore, the variety of symptoms will depend on the degree of immunodeficiency present in the individual, the affected tissues, and outbreaks of viral reactivation. In the latter case, the increase in viral reactivation (especially of EBV and Parvovirus B19) or abortive reactivation during periods of increased immunodeficiency may contribute to the exacerbation of symptoms by increasing the production of transient autoantibodies such as ANCAs, causing symptoms of vasculitis [241], and by increasing the release of viral dUTPases, which increase neurological symptoms [246].

Hypocortisolism

Under acute conditions the proinflammatory cytokines IFN-γ, TNFα, IL-1, and IL-6 stimulate the hypothalamic–pituitary–adrenal (HPA) axis by stimulating ACTH secretion [54, 236]. In this way, IFN-γ not only serves to activate macrophages but also allows for increased glucocorticoid receptor expression for subsequent feedback inhibition [236]. In addition, so that this inflammatory response is not exaggerated, there is stimulation of cortisol secretion due to the increase in ACTH, resulting from the action of IFN-γ and direct stimulation of the adrenal gland by IL-6 [236, 261]. During persistent infections, however, chronic exposure to IL-10, TGF-β1, and TNFα could suppress ACTH-stimulated cortisol secretion in the adrenal gland and thus cause relative hypocortisolism (Fig. 1) during chronic infections [54, 262, 263]. Both IL-10 and TGF-β1 (anti-inflammatory and immunosuppressive cytokines) are elevated in EBV infections, where they are secreted by EBV latency cells and regulatory T cells to counteract proinflammatory cytokines and to evade CD4 T cells [8, 264, 265]. Thus, the greater the number of infected tissues with EBV reservoirs, the greater the level of secretion of these anti-inflammatory cytokines and, thus, the greater the negative feedback on cortisol secretion. Disease progression and acquired immunodeficiency in CD4 T-cell function may however lead to an increase in the replicative rate of the virus and infection in the adrenal glands or pituitary gland, as occurs in AIDS by decreasing surveillance of herpesviruses (such as cytomegalovirus), allowing them to infect and deplete cortisol stores [236, 266]. Both cases would result in relative hypocortisolism, where the small amount of cortisol synthesized by negative feedback would bind to glucocorticoid receptors on the cells of innate immunity to suppress proinflammatory cytokine synthesis, though only partially due to the persistence of infection and greater positive feedback from proinflammatory cytokines [236, 267]. In addition, chronic high insulin levels may also be playing an important role in the development of hypocortisolism, as insulin can cross the blood–brain barrier and bind to insulin receptors in the hypothalamus, inhibiting the secretion of corticotropin-releasing hormone (along with others such as growth hormone) and, therefore, its downregulation would inhibit pituitary ACTH secretion [268,269,270]. This negative regulation of cortisol secretion can be observed, for example, in patients with insulinomas, where increased insulin causes a deficient cortisol response to hypoglycemia, whereas cortisol responses are normalized after their resection [253]. Both growth hormone and cortisol participate in glucose metabolism, increasing gluconeogenesis and antagonizing the effects of insulin [270]. In addition, they participate as counter-regulatory hormones during hypoglycemia [270]. Thus, it seems that in the face of persistent infection, the body tries to maintain a state of transient hypoglycemia caused by an increase in proinflammatory cytokines, hyperinsulinemia, and hypocortisolism in order to maintain a chronic innate immune response, decrease viral replication, and enhance the effector response of CD8 T cells. However, this normalized state is not achieved in individuals with “weak” HLA-II haplotypes against EBV, presenting an impaired CD4 T-cell function and, therefore, a deficient CD8 T-cell cytotoxic response.

Alteration of the serotonergic system

Apart from the release of proinflammatory cytokines, the activation of TLR3, by EBERs, or of TLR2, by EBV dUTPases, also causes inhibition and decreased expression of serotonin transporters (SERT), leading to extracellular accumulation of serotonin (5-HT) in inflamed tissues (Fig. 1) [271,272,273,274]. For example, its inhibition in the digestive mucosa causes a reduction of SERT activity in enterocytes, thus decreasing 5-HT uptake and metabolization [271, 272]. This accumulation of extracellular 5-HT causes the activation of 5-HT3 receptors of enterochromaffin cells, stimulating increased release of 5-HT [275]. This increase in extracellular 5-HT in the intestinal mucosa activates the 5-HT receptors (such as 5-HT3) of myenteric neurons, smooth muscle cells, and epithelial cells, which causes increased intestinal secretion and motility to aid in pathogen clearance [272, 276, 277]. In addition, vagal responses are elicited by activating 5-HT3 afferent receptors, which induces nausea and vomiting [278]. Another type of cell involved in 5-HT elevation in the digestive mucosa or in any inflamed tissue is platelets. Under normal conditions, platelets collect excess 5-HT from the intestinal mucosa through SERT on their surface, preventing it from accumulating and contributing to the termination of its enteric activity [276]. They then transport it to other tissues, such as liver and bone [276]. Under inflammatory conditions, 5-HT binds to the 5-HT2A receptors on platelets, due to their increase in inflamed tissue, which causes their activation and degranulation, releasing more 5-HT into such tissue [271, 279]. In addition, binding of EBERs to the platelet TLR3 receptor causes a decrease in SERT activity and thus platelet 5-HT reuptake [279, 280]. Moreover, chronic increases in plasma 5-HT levels also lead to a reduction in SERT expression, further decreasing its uptake by platelets [281]. Therefore, under pathological conditions, there is excess release of 5-HT, saturation of its metabolic pathways, and decreased transport, leading to an increase in its levels in peripheral blood and provoking different responses. This process persists until adaptive immunity resolves the infection, allowing everything to return to normal.

Increased levels of 5-HT in peripheral blood could activate pancreatic β-cells and increase their proliferation through the 5-HT3 receptor, leading to increased release of insulin and 5-HT by these cells [282]. This 5-HT released by β-cells activates the 5-HT1F receptors of neighboring α-cells, leading to reduced cAMP levels and inhibition of glucagon secretion [283]. Consequently, 5-HT is also involved in the maintenance of a hyperinsulinemic state with transient hypoglycemia during chronic infections.

Under normal conditions, 5-HT cannot cross the blood–brain barrier, so increases in its levels in peripheral blood would not increase CNS 5-HT levels [284]. Under conditions of chronic EBV infection, however, EBV dUTPase proteins could alter the integrity of the blood–brain barrier (Fig. 4), allowing the passage of proinflammatory cytokines, 5-HT, and EBV-infected cells [10]. If the CNS eventually becomes infected by EBV, TLR3 activation by EBERs released from latent cells would elicit a response opposite to that occurring in peripheral tissues [271, 285]. TLR3 activation in microglia in the CNS during brain infections (Fig. 1) results in increased release of IL-1β and TNF-α, which enhances SERT expression and activity in astrocytes and, therefore, increases reuptake and degradation of 5-HT to the metabolite 5-hydroxyindoleacetic acid (5-HIAA), thereby reducing extracellular levels of 5-HT [271, 285,286,287,288]. As a consequence, there would be a reduction in the activation of neuronal 5-HT1A receptors, possibly inducing the sensation of fatigue and the development of depression [285,286,287, 289]. This, added to the fact that the 5-HT synthesis rates in women are half that of men, could explain why women are more likely to suffer from depressive disorders during infectious processes [290]. In addition, activation of the 5-HT1A receptor is involved in ACTH secretion so that a decrease in 5-HT availability in the CNS would also translate into a decrease in 5-HT1A activation and lower ACTH synthesis [291]. Therefore, serotonergic alteration in the CNS also allows the maintenance of peripheral hypocortisolemia.

Fig. 4
figure 4

EBV infection and neuroinflammatory alterations: implications in neurotransmission and copper metabolism. A Exosomes with EBV dUTPases and EBERs from EBV-infected cells can reach the blood–brain barrier and contact endothelial cells causing activation of TLR2 receptors by dUTPases. The blood–brain barrier’s endothelial cells are activated and release proinflammatory cytokines that disrupt the blood–brain barrier’s integrity. Both EBV-infected cells crossing the blood–brain barrier and exosomes with viral genetic material can activate microglia through TLR3 receptors that detect the presence of EBERs. Activated microglia release proinflammatory cytokines IL-1β and TNF-α, which increase the expression and activity of the serotonin transporter SERT in astrocytes, causing an increase in serotonin (5-HT) reuptake and a decrease in its extracellular levels. Oligodendrocytes are particularly susceptible to inflammation. Overexposure to cytokines such as TNF-α can damage these cells, potentially leading to apoptosis and demyelination. Both increased proinflammatory cytokines and increased oxidative and nitrosative stress (ROS/RNS) from activation of microglia via TLR3 could lead to increased IDO activity in microglia, resulting in reduced tryptophan (TRP) levels, increased kynurenine catabolites and decreased 5-HT synthesis. Quinolinic acid (QUIN) stimulates glutamate (GLU) release by activating the NMDA glutamate receptor in the presynaptic neuron. On the other hand, in astrocytes it decreases the expression of glutamate transporters and increases their release, thus increasing extracellular glutamate levels. Thus, quinolinic acid can increase glutamate levels in the brain and decrease brain cells' ability to eliminate excess glutamate. Moreover, quinolinic acid has neurotoxic properties by binding to the neurons' NMDA receptor, followed by sustained calcium (Ca2+) influx leading to increased oxidative and nitrosative stress. This increase in nitrosative and oxidative stress leads to the activation of PARP-1 polymerase to prevent DNA damage. But continuous overactivation of PARP-1 leads to depletion of intracellular reserves of nicotinamide adenine dinucleotide (NAD) and ATP, with the consequent alteration in energy production and mitochondrial function. The binding of glutamate to extrasynaptic NMDA receptors can lead to a reduction in the levels of neurotrophic factors such as brain-derived neurotrophic factor (BDNF), leading to a decrease in synaptic plasticity and increased vulnerability to excitotoxicity. The decrease in 5-HT levels decreases the activation of 5-HT1A receptors allowing more glutamate to be released, as the activation of 5-HT1A receptors decreases the release of glutamate in presynaptic neurons. In addition, the activation of 5-HT1A receptors in the postsynaptic neuron inhibits the activation of NMDA receptors, so a decrease in extracellular 5-HT prevents the activation of 5-HT1A receptors allowing overexcitation of NMDA receptors by glutamate and quinolinic acid. B To the right, the same process occurs, but with alterations in dopaminergic neurons. The decrease in extracellular 5-HT levels due to increased 5-HT reuptake decreases the activation of 5-HT1A receptors in neurons allowing more dopamine (DA) to be released, as the activation of 5-HT1A receptors decreases the release of dopamine in presynaptic neurons. Additionally, the activation of 5-HT1A receptors in the postsynaptic neuron inhibits the activation of NMDA receptors, so a decrease in extracellular 5-HT prevents the activation of 5-HT1A receptors allowing overexcitation of NMDA receptors by quinolinic acid and excess glutamate released by glutaminergic neurons. In turn, the decrease in 5-HT levels decreases the activation of astrocytes’ 5-HT1A receptors, leading to less release of metallothioneins (MT) to the extracellular space. Metallothioneins are especially important to protect dopaminergic neurons from excess dopamine quinones. Consequently, a decrease in the availability of copper in these cells due to a decrease in metallothionein production and copper absorption in the intestine would lead to a decrease in dopamine breakdown via MAO, as this enzyme’s activity depends on copper. If MAO enzymes cannot efficiently break down dopamine, more dopamine may accumulate in the cytosol of neurons and undergo autoxidation. Then, in conditions of copper deficiency in dopaminergic neurons, there could be a greater propensity to form dopamine quinones and ROS due to the autoxidation of accumulated dopamine, causing mitochondrial dysfunction. In addition, the activation of microglia in response to inflammatory stimuli would increase copper uptake from the synaptic space by microglia and disrupt neuronal copper reuptake. This can decrease the amount of copper available for neurons, disrupting their ability to regulate NMDA receptor activity and leading to overactivation of NMDA receptors. Increased copper in microglia can reduce its ability to phagocytose unwanted proteins. This could lead to an accumulation of amyloid-beta (Aβ) protein released by neurons. These Aβ deposits also have a high affinity for copper, so a greater increase in Aβ in these areas would cause larger amounts of copper to deposit out of reach of neurons and even form Aβ amyloid plaques

Alteration of the microbiota

When there is chronic infection of the intestinal mucosa, the defense mechanisms involved in maintaining the intestinal barrier are compromised [292, 293]. On the one hand, serotonergic alteration caused by 5-HT accumulation in the intestinal mucosa generates chronic inflammation [271,272,273,274]. This intestinal inflammation (Fig. 1) causes a decrease in acid secretion from the stomach and in the expression of enzymes necessary to digest carbohydrates, causing more carbohydrates to reach the intestinal microbiota without being digested or absorbed [277, 294]. On the other hand, the increase in proinflammatory cytokines (IFN-γ and TNF-α) as a consequence of EBV infection of epithelial cells generates the rupture of tight junctions between enterocytes, leading to an increase in intestinal permeability [292]. Finally, impaired function of adaptive immunity prevents the resolution of EBV infection and an adequate response to other pathogens [171]. Therefore, increased nutrient influx for these commensal bacteria coupled with decreased acid secretion, barrier breakdown, and alteration of the intestinal adaptive immune system would lead to proliferation of these bacteria, resulting in the occurrence of small intestinal bacterial overgrowth (SIBO) and the development of food intolerances [294, 295]. In addition, as a consequence of the increased permeability, substances and microorganisms that should not cross the barrier would cross the barrier and therefore further activate innate immunity (TLRs), leading to greater accumulation of 5-HT and an increase in symptoms [293]. Another consequence of SIBO is bacterial deconjugation of bile salts, leading to impaired micelle formation, fat malabsorption, and deficiencies in fat-soluble vitamins (A, D, E, and K) [294]. Competitive uptake of vitamin B12 by bacteria results in less binding to intrinsic factor and therefore less absorption in the terminal ileum [294].

Oxidative stress

When cells are infected by a virus, there is increased production of free radicals by the mitochondria, peroxisomes, endoplasmic reticulum stress, nicotinamide adenine dinucleotide phosphate hydrogen phosphate (NADPH) oxidase, metabolizing enzymes, and due to the Warburg effect (aerobic glycolysis), causing cells to become stressed and enter apoptosis [296,297,298]. However, viruses have evolved defense mechanisms that upregulate host cell protective systems against these free radicals [296, 299]. Normally, to avoid the harmful effects of ROS, cells upregulate their antioxidant defenses (both enzymatic and non-enzymatic) [296, 300]. During viral infections, however, the rate of intracellular ROS production exceeds the antioxidant capacity in cells, causing oxidative stress, which consequently leads to the depletion and deficiency of antioxidant enzymes, such as superoxide dismutase (SOD), catalase (CAT), and glutathione peroxidase (GPx), and the depletion of non-enzymatic free radical scavengers such as vitamin E (α-tocopherol), vitamin C (ascorbate), glutathione (GSH), β-carotene, and melatonin [296, 297, 299,300,301]. In the case of EBV, EBV-transformed cells have evolved resistance mechanisms against ROS and use the DNA damage caused by free radicals during oxidative stress to increase the expression of DNA methyltransferases, which induce epigenetic alterations by methylating viral DNA to decrease its replication and cause the virus to move into distinct latency phases (Fig. 1) that allow evading the immune system [299]. Specifically, EBNA-1 transcriptionally activates the catalytic subunit of NADPH oxidase NOX2, causing ROS accumulation and DNA damage to allow cell transformation [302]. One of the consequences of NADPH oxidase NOX2 activation is that increased ROS production can lead to insulin resistance by affecting insulin receptor signal transduction, causing a decrease in GLUT4 transporter expression and thus glucose uptake, thereby contributing to hyperinsulinemia [303, 304]. Therefore, during chronic EBV infection, the greater the number of infected cells, the greater the consumption of antioxidant substances and therefore deficiency.

Transactivation of human endogenous retroviruses (HERV)

EBV can transactivate the env gene of HERV-K18 in infected B cells through the latent membrane proteins LMP-2A and LMP-1 [305]. HERV-K18 is a superantigen that causes stimulation of a large number of non-antigen-specific T cells through HLA-II and may facilitate persistent EBV infection and/or transmission, as B cell memory formation is CD4 T cell-dependent [305, 306]. For example, marmosets, New World primates, do not harbor HERV-K18 in their genome, and long-term persistent EBV infection cannot therefore be established, so this superantigen is thought to be involved in the establishment of EBV latency [306].

In addition, these long-term superantigens could also contribute to immune exhaustion and a state of unresponsiveness (anergy) on the part of T lymphocytes due to chronic exposure to these antigens [307].

Microclot formation

The overproduction of proinflammatory cytokines TNFα, IL-6, and IL-1β during infectious processes causes hypercoagulation, platelet activation, leukocyte infiltration, and vascular hyperpermeability [231,232,233, 308]. When activated also through 5-HT2A receptors by the increase of 5-HT in peripheral blood or by the binding of EBERs to TLR3, platelets bind to fibrinogen, causing enhancing aggregation and coagulation processes [279, 309]. Upon activation, they can release β-amyloid (Aβ) peptide either directly or via cleavage of amyloid precursor protein [310]. A consequence of the increased production and release of Aβ in response to infection is that it interacts specifically with fibrinogen, causing fibrinogen oligomerization, fibrin(ogen) deposition, and Aβ fibrillation, ultimately favoring the formation of abnormal fibrin microcoagulates resistant to degradation by fibrinolytic enzymes [311]. The Aβ fibrinolytic pathway appears to be part of the innate immune response protecting against fungal, bacterial, and even viral infections such as herpesvirus infections, where oligomers bind to and entrap viral glycoproteins, accelerating β-amyloid deposition [312, 313].

In addition, increased levels of IL-1β, IL-6, and TNF-α stimulate the production of serum amyloid A (SAA) in hepatocytes [314]. The increase of SAA in blood may favor its interaction with fibrinogen, causing amyloidogenic changes in fibrinogen, leading to the formation of fibrin amyloid microaggregates resistant to fibrinolysis [78, 315].

In both cases, microclot formation leads to capillary obstruction (Fig. 1), which compromises blood flow and increases inflammation, contributing to the appearance of various symptoms [78, 147, 258].

Another factor influencing microclot formation is endothelial damage caused by EBV infection, either by positive upregulation of NOX2 by EBNA-1 in EBV-transformed endothelial cells or by activation of TLR3 by EBERs, where NOX2 activation causes vasoconstriction and thrombosis through platelet aggregation by increased overproduction of hydrogen peroxide, isoprostane, or inactivation of nitric oxide [256, 302, 316, 317].

IDO activation

During persistent CNS infections (Fig. 4), aside from increased 5-HT reuptake in astrocytes, increased oxidative and nitrosative stress leads to activation of indoleamine 2,3-dioxygenase (IDO), and increased proinflammatory cytokines activate tryptophan 2,3-dioxygenase (TDO) [318]. Both IDO and TDO activation consume and therefore decrease the levels of tryptophan and lead to increased tryptophan catabolite (Fig. 1) synthesis, further contributing to the extracellular decrease in 5-HT levels [318]. As melatonergic pathways depend on the availability levels of 5-HT as a necessary precursor, a decrease in 5-HT would lead to a reduction in melatonin production [318]. Thus, a reduction in melatonin levels contribute to the development of sleep disorders and depression [318]. In addition, reduced levels of melatonin could help to maintain hyperinsulinemia during the night in chronic infections, since insulin secretion is inhibited by its binding to the melatonin receptor on pancreatic β-cells [319].

Both elevated IFN-γ, TNF-α, and IL-6 levels and increased ROS in EBV-infected cells leads to increased IDO activity and thus reduced levels of tryptophan as a consequence of its increased catabolism [202, 320]. Reduced glucose uptake due to insulin resistance and reduced tryptophan levels is a defense mechanism used by infected cells to increase cellular stress and suppress viral replication [320]. For example, induction of IDO activity by IFN-γ and TNF-α has been observed to be responsible for inhibition of herpes simplex virus replication [321]. However, chronic viral infections take advantage of the immunosuppressive effect of kynurenine catabolites produced from tryptophan catabolism to create a state of disease tolerance [320]. The overexpression of IDO, both in uninfected antigen-presenting cells—induced by IFN-γ, TNF-α, and IL-6 or by activation of RIG-I/TLR3 by EBERs or by activation of TLR2 by EBV dUTPase—as well as in EBV-transformed antigen-presenting cells—induced by TNF-α and IL-6 via MAPK/p38 and NF-κB—suppresses the activation and proliferation of antiviral T cells (CD4 and CD8) and decreases the cytotoxic activity of CD8 T cells by binding kynurenine catabolites released by antigen-presenting cells to the aryl hydrocarbon receptor (AhR) [10, 202, 320, 322, 323]. Increased levels of kynurenine catabolites together with tryptophan depletion in the local microenvironment result in metabolic stress on CD4 T cells, leading to impaired T-cell metabolism, impaired antigen-specific response, cell cycle arrest and apoptosis of Th1 cells, inhibition of Th17 cell differentiation, and promotion of Th2 cell polarization [320, 323,324,325]. In addition, upon binding to AhR, kynurenine metabolites also increase T-cell differentiation into FoxP3+ regulatory T cells versus Th17 cells, causing an increase in their expansion and IL-10 release, which suppresses Th1 responses [320, 323, 324]. In the case of EBV-transformed B cells, IDO activation, through the release of IL-10 and TGF-β, suppression of Th1 and Th17 cells, and conversion of CD4+ T cells to Treg, can trigger the same effects on CD4 T cells as elicited by other antigen-presenting cells [325]. Even kynurenine produced by these EBV-transformed B cells inhibits NKG2D expression in nearby NK cells through the c-Jun N-terminal kinase pathway to escape NKG2D-mediated attack by immune cells [320, 326].

In addition, the cytokine microenvironment produced by antigen-presenting cells for Th1/Th2 differentiation of Th0 cells is dependent on the oxidative state of the cell, where the depletion of antioxidant substances such as glutathione inhibits the production of Th1-associated cytokines and favors the production of Th2-associated cytokines [327]. Therefore, the continuous increase of free radicals in EBV-transformed antigen-presenting cells leads to the depletion of antioxidant substances, resulting in increased Th2 differentiation.

In summary, through tryptophan degradation resulting from increased IDO and ROS activity in antigen-presenting cells, EBV-infected ectopic lymphoid aggregates can enhance differentiation into Th2 over Th1 and into Treg over Th17, thus creating an environment dominated by the release of anti-inflammatory cytokines (IL-10, IL-4, and TGF-β) that decreases the antiviral adaptive response and favors immune tolerance and the development of autoimmune diseases [325], as it could lead to an increase in EBV-infected cells that could present autoantigens or viral EBNA-1 through MHC-II, which can undergo posttranslational modifications and form neoantigens that generate autoreactive responses [171, 212,213,214,215]. All this contributes to the withdrawal of immune surveillance of EBV-transformed cells and to the chronification of infection.

Hypozincemia

Another consequence of elevated levels of proinflammatory cytokines such as IL-1 and IL-6 is the appearance of hypozincemia due to increased expression of zinc transporters and zinc-binding peptides (metallothioneins and alpha2-macroglobulin), which sequester and redistribute zinc to tissues (Fig. 1), thus decreasing its availability in blood [328, 329]. Hypozincemia is usually transient and resolves when the inflammatory response disappears, releasing zinc from the cells into the serum [328]. Transient hypozincemia is a defense mechanism to decrease the availability of zinc (Zn) to extracellular microorganisms and increase available Zn in cells of the immune system [328]. Within these immune cells, it allows intoxication of engulfed pathogens on the one hand and combating oxidative/nitrosative stress to prevent cell DNA damage on the other hand [328]. However, some viruses can use the increased intracellular Zn to their advantage and generate chronic hypozincemia [330]. Because intracellular free Zn is toxic to the cell, under normal conditions, it is mostly bound to proteins such as metallothioneins (MTs), whose expression is induced by increased intracellular Zn [330]. MTs are cysteine-rich proteins that regulate Zn and copper homeostasis, are involved in heavy metal detoxification (such as cadmium and mercury), alleviate oxidative/nitrosative stress, and participate in immune responses [331]. Viruses depend on intracellular zinc, as it is utilized by newly synthesized viral proteins [330]. Consequently, cellular systems that control Zn homeostasis, such as MTs, could constitute a protective barrier against viral replication [330]. In the case of chronic EBV infection, increases in proinflammatory cytokines IL-1, IL-6, and IFN-γ, such as from EBERs, may induce increased expression of zinc transporters and metallothionein production, especially in the liver [236, 329]. In EBV-transformed cells, LMP1 mimics the CD40–CD40L interaction, activating the nuclear enhancer factor kappa light chain enhancer of activated B cells (NF-κB) [332]. Activation of NF-κB induces several antiapoptotic proteins, stimulates cell cycle progression, and plays a crucial role in carcinogenesis [332]. Increased levels of free zinc could serve as a co-stimulus for the upregulation of NF-κB produced by LMP1 or CD40 signaling, as the intracellular increase in zinc induces the expression of MTs, which elevates the DNA-binding activity of NF-kB [332, 333]. Thus, EBV-infected cells require zinc for increased overexpression of MTs and for transactivation of EBNA-1, thereby increasing their intracellular levels by increasing the expression of zinc transporters and favoring zinc release from metallothioneins via the action of increased ROS, ultimately aiding in the activation, proliferation, and immortalization of transformed B cells [330, 332,333,334]. Therefore, in the long term, overexpression of MTs and zinc transporters reduces the availability of zinc in blood and its uptake by immune cells, leading to altered immune responses and downregulation of intracellular antioxidant activity [236]. Increased overexpression of MTs in cases of serum zinc deficiency causes hypoplasia of primary and secondary lymphoid organs (thymus, spleen, lymph nodes, and Payer’s plaques), decreased secretion of Zn-thymulin in the thymus, a decrease in the number of total T lymphocytes, altered T-helper activation and function, reduced cytotoxic activity of NK cells, Th1/Th2 imbalance with increased release of Th2 cytokines, and polarization of Treg versus Th17 cells, ultimately leading to a state of immunosuppression with low resistance to infections [236, 329, 335]. In addition, both the elevated levels of extracellular MTs that attract leukocytes to the site of inflammation [336] and the increased expression of MHC-II in cells due to intracellular zinc deficiency as a consequence of chronic hyponzinemia [329] allow infection of a greater number of cells by EBV.

Ceruloplasmin deficiency

MTs can also bind copper (Cu) [337]. Inflammatory processes caused by an infection in the intestinal mucosa could lead to overexpression of intracellular MTs in enterocytes (Fig. 5) as a response to increased intracellular Zn to counteract the damaging effects of increased free radicals, causing these MTs to also bind Cu from food, since MTs have a higher affinity for Cu than for Zn [337,338,339]. Thus, the increase in intracellular Zn would cause Cu to be retained in enterocytes, preventing its absorption and leading to Cu deficiency in the body (Fig. 1) [337, 339]. The involvement of Zn in Cu absorption can be observed in patients with Wilson’s disease. These patients are treated with large doses of Zn to increase the expression of MTs and reduce Cu absorption in the intestinal mucosa, as these patients accumulate excessive amounts of Cu due to their low levels of ceruloplasmin [337].

Fig. 5
figure 5

EBV infection generates copper dysregulation in tissues. EBV infection increases zinc uptake, stimulating metallothionein expression, which displaces copper and affects ceruloplasmin synthesis and copper distribution in tissues

Decreasing Cu absorption could result in decreased synthesis of ceruloplasmin [340,341,342], a protein that allows Cu transport into tissues and is overexpressed during infections and inflammatory processes in response to increased levels of IL-6 and IFN-γ [342, 343]. Ceruloplasmin deficiency could generate alterations induced by oxidative stress by decreasing the transport of Cu needed as a cofactor for some enzymes, such as superoxide dismutase (CU/Zn-SOD) and cytochrome C oxidase [344].

One of the organs that may be most affected by this deficiency is the brain, as this organ has a high respiratory rate and is prone to oxidative stress [344]. Therefore, a decrease in Cu transport in the brain could lead to an increase in oxidative stress as a consequence of increased release of ions that contribute to the formation of free radicals, a decrease in endogenous antioxidant systems (CU/Zn-SOD), and an increase in iron accumulation by decreasing the ferroxidase activity of ceruloplasmin [344]. This increased oxidative stress due to ceruloplasmin deficiency could lead to a loss of acquired language and memory skills, as occurs in Parkinson's and Alzheimer’s diseases [344, 345]. In the hippocampus, neurons use copper to attenuate N-methyl-d-aspartate (NMDA) receptor-induced excitotoxicity by decreasing cytoplasmic Ca2+ concentration after NMDA receptor activation [346]. Therefore, if microglia are activated in response to inflammatory stimuli (via TLR3 in the presence of viral genetic material) in brain areas where copper is used to prevent NMDA receptor excitotoxicity (Fig. 4), it would increase Cu uptake from the synaptic space by microglia and disrupt Cu reuptake by neurons [346]. This would generate an overactivation of NMDA receptors and could subsequently lead to neurodegeneration [346]. In addition, increased intracellular Cu reduces the phagocytic properties of microglia, which may lead to increased Aβ deposition. These Aβ deposits also have high affinity for Cu, so a further increase in Aβ in these areas would cause greater amounts of Cu to be deposited out of reach of neurons [346].

Substantial oxidative stress also occurs in the intestine due to exposure to foreign substances and microbial pathogens [347]. Therefore, a decrease in the antioxidant system could lead to increased damage caused by oxidative stress, resulting in inflammation, intestinal barrier dysfunction, and immune imbalance [347]. In addition, a decrease in copper transport could also lead to a decrease in diamine oxidase (DAO) activity [348, 349], altering histamine metabolism and generating the appearance of symptoms caused by its accumulation [350]. On the other hand, copper also contributes to the activity of monoamine oxidases (MAOs), which are involved in the oxidative deamination of mitochondrial monoaminergic neurotransmitters, such as dopamine, serotonin, tyramine, and norepinephrine [351]. Therefore, copper transport deficiency could result in decreased MAO activity in enterocytes, contributing to the accumulation of 5-HT in the intestinal mucosa that is also generated by the reduction in SERT activity [352].

At the immunological level, Cu deficiency may generate a deficiency in CD4 T-cell responses to mitogens [353], immune hyporesponsiveness (immune tolerance) [354], and an increased humoral response [355], again supporting the presence of an immunodeficiency. Therefore, overexpression of MTs with serum zinc deficiency together with ceruloplasmin deficiency could lead to a deficiency in T-lymphocyte response.

In women, this ceruloplasmin deficiency may be aggravated during menopause, where decreased estrogen causes decreased ceruloplasmin synthesis [356].

Role of EBV in ME/CFS and long COVID

Among the immunological alterations presented by ME/CFS patients, there is reduced cytotoxic response by T lymphocytes and natural killer cells (NKs) [1, 35, 44, 357], reduced T-cell responses to mitogens and other specific antigens with decreased activation [1, 35, 358], deficient EBV-specific B- and T-cell response [21], increased Th2 response (especially IL-10) [35, 36, 38, 41, 46, 359], increased regulatory T cells (CD4+CD25+FoxP3+) [359], and increased IFN-γ levels [359]. In individuals with ME/CFS, ancestral HLA-II haplotypes, and latent EBV, these immunological alterations can be explained by the EBV-acquired immunodeficiency model, where the impairment of CD4 T-cell function and activation caused by these ancestral HLA-II haplotypes could generate T-cell depletion and thus an increase in EBV-infected ectopic lymphoid structures [8, 171]. These infected tissues, when not controlled by the adaptive response, could end up with chronic inflammation due to the activation of TLR3 receptors or RIG-I, which results in continuous detection of viral genetic material (EBERs) [231,232,233], causing a chronic innate response and inflammation through the continuous release of proinflammatory cytokines, generating an increase in IL-1, IL-6, TNFα and IFN-γ in individuals with ME/CFS [37]. Chronic release of proinflammatory cytokines of innate immunity, increased Treg cell activity, aerobic glycolysis of infected cells, and activation of neutrophils by ANCA lead to excessive ROS production, and this could explain the increased oxidative and nitrosative stress, depletion of antioxidant substances, increased aerobic glycolysis in circulating cells, and increased damage to fatty acids, DNA, and proteins that occur in patients with ME/CFS [296,297,298, 360]. This increased oxidative and nitrosative stress could be exploited by EBV-infected cells for transformation by methylation of viral DNA, preventing its replication and favoring the establishment of different types of latency that allow evading the immune system [299]. Furthermore, increased IL-10 levels in ME/CFS patients support the presence of a persistent infectious state and decreased activity of T cells and NKs [359].

Increased levels of TNF-α and IFN-γ in ME/CFS also explain the increased intestinal inflammation and permeability, development of irritable bowel, and increased bacterial translocation in these patients [35, 292, 359].

This acquired immunodeficiency could also justify the lytic or abortive reactivation of this and other latent pathogens, such as other herpesviruses and Parvovirus B19, that occurs in patients with ME/CFS [9, 10, 15, 17, 34, 361,362,363] and could generate, on the one hand, the production of transient autoantibodies such as ANCAs, ANAs, or antiphospholipid antibodies (such as anticardiolipin) [71, 360], causing exacerbation of symptoms, and on the other hand, the increased release of viral dUTPases that increase neurological symptoms [10, 11, 26], generating more inflammation and disease flares.

Patients with ME/CFS may present with insulin resistance, increased blood insulin levels, high waist circumference, high triglycerides, and hypocortisolism [47,48,49,50,51,52,53,54,55,56,57,58,59,60, 364]. Chronic elevated levels of insulin and proinflammatory cytokines could explain the negative regulation of cortisol secretion, where increased insulin causes a deficient cortisol response to hypoglycemia, as occurs in patients with ME/CFS assessed using the insulin-induced hypoglycemia test [54, 58, 253, 262, 263, 365]. Thus, it appears that patients with ME/CFS attempt to maintain a state of transient hypoglycemia caused by increased proinflammatory cytokines, hyperinsulinemia, and hypocortisolism to maintain a chronic innate immune response, decreased viral replication, and enhanced CD8 T-cell effector response [247,248,249], though without being able to resolve the infection by presenting an alteration in CD4 T cell function and, therefore, a deficient cytotoxic response of CD8 T cells in individuals with “weak” HLA-II haplotypes against EBV. The increase of EBV latent cells in different tissues could lead to a more severe state of insulin resistance and, thus, to an increased risk of developing metabolic syndrome, type 2 diabetes mellitus, cardiovascular disease and Alzheimer’s disease in these patients [58].

Within the serotonergic alterations presented by patients with ME/CFS, it has been suggested that viral infection may cause damage to the blood–brain barrier, leading to the entry of viral genetic material that activates TLR3 receptors in microglia, leading to increased release of IL-1β and TNF-α, which increases SERT expression and activity in astrocytes and, therefore, increases 5-HT reuptake and its degradation to the metabolite 5-HIAA, thereby reducing extracellular levels of 5-HT [271, 285,286,287,288]. This would result in reduced activation of neuronal 5-HT1A receptors, possibly inducing the sensation of fatigue and the development of depression [285,286,287, 289]. Furthermore, during infectious processes in ME/CFS patients, both increased proinflammatory cytokines and increased oxidative and nitrosative stress due to activation of microglia via TLR3 could lead to increased IDO activity in microglia, resulting in reduced tryptophan levels (increased its catabolism), increased kynurenine catabolites, and decreased 5-HT and melatonin synthesis [366, 367]. Depletion of tryptophan together with increased kynurenine catabolites could lead to an impaired Th1 cell response and increased promotion of Th2 cells, favoring immune tolerance to the disease [325, 366]. Furthermore, within kynurenine metabolites, quinolinic acid has been shown to be an NAD+ precursor that has neurotoxic properties through its binding to the N-methyl-d-aspartate (NMDA) receptor, which leads to sustained Ca2+ influx and thus increased nitrosative stress [366]. This increased nitrosative and oxidative stress results in activation of poly(ADP-ribose) polymerase-1 (PARP-1) to prevent DNA damage [366]. Continued overactivation of PARP-1, however, results in depletion of intracellular NAD+ and ATP stores with consequent impairment in energy production and mitochondrial function, which have been reported in ME/CFS patients [366]. In addition, quinolinic acid stimulates synaptosomal glutamate release by acting as an NMDA receptor agonist and, in astrocytes, decreases the expression of glutamate transporters and increases their release, thereby increasing extracellular glutamate levels [367, 368]. Elevated glutamate, apart from generating neurotoxicity, can cause mitochondrial dysfunction and lower energy [366]. Therefore, increases in kynurenine and its metabolites resulting from increased IDO activity could contribute to neuroinflammation, increased glutamate, altered immune system, depression, altered gut microbiota, and fatigue in ME/CFS patients [366, 367, 369]. However, it is not only increased quinolinic acid that can explain the overstimulation of NMDA receptors. In brain areas of increased Cu use, ceruloplasmin deficiency and activation of microglia in response to the presence of viral genetic material could also contribute to the overstimulation of NMDA receptors, increased levels of nitric oxide/peroxynitrite levels, and the cognitive impairment present in ME/CFS patients [346, 369, 370].

Decreased activity of Cu-dependent enzymes, such as SOD, and decreased levels of ceruloplasmin in patients with ME/CFS [371] can be explained by a deficiency in Cu uptake due to overexpression of MTs in enterocytes in response to mucosal infection. This Cu deficiency could cause a decrease in ceruloplasmin synthesis and a decrease in the activity of Cu-dependent enzymes, contributing to increased oxidative stress.

On the other hand, the hypozincemia observed in patients with ME/CFS could occur due to increased proinflammatory cytokines in response to infection, as they increase the expression of zinc transporters and zinc-binding peptides, leading in the long term to a reduction in their availability in blood and their uptake by immune cells [328, 329, 372]. This results in a decrease in their activation in the presence of antigens and altered immune responses with downregulation of intracellular antioxidant activity [236, 329, 335, 372]. In addition, this deficiency could lead to increased MHC-II expression allowing infection of a greater number of cells by EBV in these patients [329].

Another abnormality present in patients with ME/CFS is the presence of fibrinolysis-resistant amyloid fibrin microbleeds and platelet hyperactivation [78], which could also be a consequence of the overproduction of proinflammatory cytokines or due to the binding of EBERs to TLR3 [231,232,233, 308, 309].

In the case of LC, there is increased levels of depleted T cells (PD-1+/Tim-3+) [128], impaired T-cell function [119, 128], decreased recruitment of activated T cells [125], impaired cytotoxic response of NK cells [373], increased Th2 response [128], increased Treg cells [374,375,376], increased proinflammatory cytokines (IFN-γ, TNFα, IL-1, and IL-6) and IL-10 [118, 125, 377, 378], increased oxidative stress [377, 379,380,381], decreased antioxidant defenses [380], hypozincemia [380, 382], hypocortisolism [128, 133, 141,142,143], presence of amyloid fibrin microbleeds [33, 146,147,148,149], presence of transient autoantibodies (ANAs, ANCA and anti-cardiolipin) [106, 113, 383, 384], insulin resistance [385, 386], and increased IDO activity and kynurenine levels [387].

Just as the binding affinity of EBV peptides to MHC class II molecules can influence the generation of an antiviral response [191, 218], it could also occur with SARS-CoV-2 [388]. It is known that single amino acid alterations in immunogenic peptides can enhance or decrease the binding of the peptide to the MHC class II molecule, causing the differentiation of CD4 T cells into Th1 cells if the binding is strong or into Th2 cells if the binding is weak [389]. Therefore, having weak HLA-II haplotypes against SARS-CoV-2 could influence the loss of binding affinity between MHC class II molecules and viral peptides, leading to decreased immune protection and viral recognition [388]. For example, mutations in the Spike protein in Omicron cause the HLA-DRB1*03:01 allele to lose affinity for this protein [390]. Therefore, individuals with LC could have “weak” HLA-II haplotypes against SARS-CoV-2 different from those against EBV or they could be the same weak haplotypes against EBV. More research is needed in this area. In both cases, there would be impaired control of SARS-CoV-2-infected cells by CD4 T cells, as these are essential for their immunosurveillance and for maintaining CD8 T cell cytotoxic responses [230, 391]. Therefore, chronic antigenic stimulation by SARS-CoV-2 in the absence of CD4 T-cell support results in a loss of immunosurveillance of infected cells, generating chronic SARS-CoV-2 infection with increased viral reservoirs in tissues and leading to immune “exhaustion” by chronic exposure to these viral antigens, as occurs in other chronic infections [227, 230]. This immune exhaustion would lead to a decrease in the formation of memory T cells and an increase in the generation of short-lived effector cells and exhausted T cells, where these exhausted antiviral T cells, unable to become activated, are functionally ineffective and unable to exert their cytotoxic functions in response to antigenic stimulation [227, 229], resulting in impaired immunosurveillance of SARS-CoV-2-infected cells and other cells with latency to another virus, such as EBV [128, 139]. This could result in the recruitment of EBV-latent leukocytes to inflamed tissues, leading to the formation of EBV-infected ectopic lymphoid structures and the development of EBV-acquired immunodeficiency as in post-EBV-infected ME/CFS. This cellular impairment of EBV control can be observed by increased antibody responses to EBV and increased reactivation in patients with LC [8, 128,129,130, 133,134,135,136,137,138,139,140]. It has also been observed that symptoms of fatigue and neurocognitive dysfunction in patients with LC are associated with EBV reactivation [138].

Another commonality of both diseases is that women are at higher risk of developing them than men [35, 392]. This may be because estrogens decrease the CD4/CD8 T lymphocyte ratio, increase B-cell survival, antibody release, and HLA-II expression, and decrease the Th1 antiviral response [209,210,211]. In addition, TLR3 expression on platelets is higher in women, thus increasing the risk of increased platelet hyperactivation and hypercoagulability [279].

In summary, according to the model presented here, ME/CFS develops in three steps: first, an acquired EBV immunodeficiency develops in individuals with “weak” HLA-II haplotypes against EBV, which prevents control of latency I cells. Second, ectopic EBV-latent lymphoid structures form in different tissues (including the CNS) that promote inflammatory responses and further impairment of cell-mediated immunity. Third, immune exhaustion occurs due to chronic exposure to viral antigens and the disease consolidates. In the case of LC, before the first step there is prior infection with SARS-CoV-2 in individuals with “weak” HLA-II haplotypes against this virus and/or EBV.

Treatments

Based on this model of development of both diseases, one might think that treatment with hydrocortisone would be beneficial to resolve hypocortisolism, but it has been observed to have limited and even adverse effects in patients with ME/CFS, since hypofunction of the HPA axis is the consequence, and not the cause, of immunological alteration [54]. Moreover, given the increased Th2 response and impaired Th1 antiviral response, the use of hydrocortisone could further potentiate this immunodeficiency and EBV reactivation [393, 394].

Given that there could be an increase in 5-HT levels in inflamed tissues and peripheral blood but a decrease in levels in the CNS, it could be thought that the use of selective serotonin reuptake inhibitors (SSRIs) could help to restore serotonergic impairment. At the CNS level, long-term use of SSRIs could increase extracellular levels of 5-HT by inhibiting SERT, preventing it from degrading to 5-HIAA and thus making more 5-HT available to bind to neuronal 5-HT1A receptors and improve fatigue [395]. At the peripheral level, however, it could be detrimental because elevated peripheral blood 5-HT levels could be involved in increasing insulin and 5-HT release by pancreatic β-cells via the 5-HT3 receptor and inhibition of glucagon secretion by α-cells, resulting in exacerbation of hyperinsulinemia and hypoglycemia [282, 283]. This, together with the fact that SSRIs also cause increased ROS and oxidative damage in β-cells, could result in an increased risk of developing type 2 diabetes in the long term [396]. This could occur for example with fluvoxamine treatment. Khani and Entezari-Maleki suggested that fluvoxamine, an S1R agonist, could alleviate the symptoms of LC associated with EBV reactivation [131, 132]. It would do so by reducing the activation of XBP1 and the endoplasmic reticulum stress response [131, 132]. As an SSRI, it could also enhance the availability of 5-HT in the central nervous system [397]. However, it might exacerbate intestinal symptoms and inflammation due to an increase in the availability of 5-HT at the intestinal level. Therefore, this aspect should be taken into account when considering the use of fluvoxamine in this context.

Given the increased insulin resistance due to infection and increased blood insulin, treatment with metformin could be beneficial, as it decreases lipogenesis and gluconeogenesis, improves insulin sensitivity, inhibits complex I of the respiratory chain, reduces ROS production, improves antioxidant activity, and suppresses the production of proinflammatory cytokines by macrophages [398, 399]. Of particular interest is that it is able to downregulate NADPH oxidase [399], thus preventing the transformation of EBV-infected cells by inhibiting the intracellular ROS production and DNA damage necessary for generating latency. It would also reduce microclot formation due to endothelial damage caused by the positive regulation of NOX2 by EBNA-1 in EBV-transformed endothelial cells or by the activation of TLR3 by EBERs [256, 302, 316, 317]. Furthermore, metformin does not stimulate endogenous insulin production, so it is not associated with a risk of hypoglycemia [399]. The beneficial effect of metformin has been observed, for example, in patients with fibromyalgia, in cultured skeletal muscle cells from patients with ME/CFS, and even in reducing the severity of acute SARS-CoV-2 infection [400,401,402].

The use of antioxidant supplements such as N-acetylcysteine (NAC), could also help to decrease oxidative stress, as they prevent the proapoptotic effect due to oxidative and nitrosative damage generated by increased tryptophan catabolites or increased NOX2 activity [327]. Another advantage of the use of antioxidants is the reduced risk of developing EBV-associated cancer [301]. NAC can inhibit NF-κB activation, thereby decreasing the resistance and survival of EBV latency cells [403, 404]. In addition, NAC suppresses the induction of Th17 cells and Tregs and promotes Th1 responses [327]. It even reduces glutamate levels in the CNS, thus reducing its neurotoxicity [405]. It has also been shown to be effective in reducing chronic inflammation and leukocyte recruitment to inflamed tissue caused by persistent EBV infection [404]. Other antioxidant supplements such as ubiquinol, Zn, vitamin E, vitamin C, and melatonin would also increase antioxidant defenses, preventing their depletion and reduce chronic oxidative stress due to infection [296, 297, 299,300,301]. Specifically, Zn could also suppress the expression of proinflammatory cytokines and MHC-II on the surface of antigen-presenting cells, preventing them from being infected by EBV [329]. It would even increase blood zinc values in individuals with hypozincemia, restoring its uptake by immune cells and improving their activity [236]. It has been observed that zinc supplementation improves glucose metabolism and insulin sensitivity in patients with diabetes and could thereby also prevent its development [406].

This observation suggests that the use of zinc ionophores such as hydroxychloroquine could be useful, since they increase intracellular Zn, decrease the expression of MHC-II, and inhibit the replication of SARS-CoV-2. On the other hand, they promote the reactivation of EBV and other herpesviruses, which could contribute in the long term to the development of lymphomas [407, 408]. Another benefit of hydroxychloroquine is that it inhibits TLR3 activation and therefore also reduces the inflammatory response and development of coagulation disorders [308]. Among its major disadvantages is that it limits antigen-specific T-cell responses, reduces Th1 responses, and inhibits antioxidant production, thereby increasing oxidative stress [409, 410]. Therefore, the disadvantages of hydroxychloroquine use outweigh its advantages, preventing its use for relieving EBV-acquired immunodeficiency and potentially worsening the condition of patients with LC or ME/CFS [410].

Treatment with antivirals such as valganciclovir or valacyclovir could reduce lytic and abortive reactivation, inflammation, the appearance of transient autoantibodies, disease flares, and insulin resistance [244, 247].

There are contradictions in the use of hyperbaric oxygen therapy, since on the one hand the increased oxidative stress it generates allows for increased pathogen clearance, synthesis of various growth factors, and angiogenesis [411]. On the other hand, increased oxidative stress can generate higher levels of ROS and reactive nitrogen species, leading to increased oxidative and nitrosative damage, mitochondrial aging, DNA damage, and maintenance of chronic inflammation [411]. The benefit of this therapy may lie in the fact that generated hyperoxia stimulates the release of IκBα, which inhibits and reduces levels of NF-κB, thereby resulting in lower transcription rates of genes for proinflammatory cytokines (IFN-γ, TNF-α, IL-1β, IL-6, and IL-8), ultimately decreasing inflammation [411]. In addition, the lack of oxygen transport due to vascular damage and microclot obstruction that these patients present could be resolved by improving tissue oxygenation through a combination of hyperoxia and hyperbaric pressure [412, 413]. This could also prove beneficial by decreasing replication in those tissues with lower oxygen tension, such as the brain and some mucous membranes (oral and digestive), where conditions of relative hypoxia allow certain viruses, such as EBV, to enter the lytic phase and replicate and thus generate reservoirs and greater inflammation in these tissues [414,415,416]. Therefore, this therapy could be useful for those viruses that do not generate latency, such as SARS-CoV-2, but could be detrimental for viruses that do, since it promotes the increase of latent cells by increasing oxidative stress.

Therefore, the symptoms of individuals with EBV-acquired immunodeficiency could be improved through the combined chronic use of antioxidant supplements, antivirals, and metformin, at least until a treatment is found that completely eliminates EBV latency cells. The use of anticoagulants to reduce thrombotic sequelae and improve the quality of life of patients with LC and ME/CFS could also be considered [78, 417].

Summary

EBV infection in individuals with “weak” EBV HLA-II haplotypes prevents the control of latency I cells (Fig. 1). The escape of these cells from immunosurveillance results in the formation of ectopic EBV-latent lymphoid structures in different tissues that promote inflammatory responses by releasing EBERs, producing abortive reactivation, and releasing new virions. Increased viral reactivation may increase the production of transient autoantibodies and the release of viral dUTPases. The increase in EBV latent cells also leads to an increase in evasion mechanisms by decreasing the activation and cytotoxic response of EBNA-1-specific CD4 T cells through IL-10 release, Treg recruitment, and the release of EBV miRNA contained in exosomes. Activation of TLR3 by EBERs or of TLR2 by EBV dUTPases results in the release of proinflammatory cytokines (IL-1β, IL-6, IL-8, IL-12, TNF-α, and IFN-γ) and IL-10. Hypozincemia could occur due to increased proinflammatory cytokines, as they increase metallothionein expression, causing a reduction in their availability in blood and their uptake by immune cells. The increase of metallothioneins in enterocytes reduces Cu uptake and ceruloplasmin synthesis. Decreased Cu transport results in decreased activity of Cu-dependent enzymes (CU/Zn-SOD, DAO, MAO, and cytochrome C oxidase). In addition, increases in proinflammatory cytokines leads to the formation of amyloid fibrin microclots resistant to fibrinolysis, either by increased production of serum amyloid A (SAA) or by the release of β-amyloid (Aβ) peptide by platelets, causing capillary blockage. High levels of IFN-γ produced by NK cells in response to persistent infection cause insulin resistance by downregulating insulin receptor transcription in myocytes. To compensate for insulin resistance, the pancreas increases insulin production, resulting in compensatory hyperinsulinemia. Hyperinsulinemia reduces glycogenolysis in the liver, leading to transient hypoglycemia and decreased metabolism in peripheral tissues, resulting in exercise intolerance. Hyperinsulinemia can decrease ACTH secretion and, together with chronic exposure to IL-10, TGF-β1 and TNFα could also decrease cortisol secretion. Activation of TRL2 and TLR3 also causes inhibition and decreased expression of intestinal SERTs, resulting in extracellular accumulation of 5-HT and activation of 5-HT receptors, generating increased motility, nausea, and intestinal secretions. Intestinal serotonergic alteration together with the increase in proinflammatory cytokines also generates chronic inflammation, resulting in decreased acid secretion, breakdown of the intestinal barrier, decreased expression of enzymes necessary to digest carbohydrates, and alteration of the intestinal adaptive immune system, leading to the appearance of food intolerances and bacterial overgrowth in the small intestine. The occurrence of SIBO results in malabsorption of fat-soluble vitamins and vitamin B12. When activated via 5-HT2A receptors by increased 5-HT in peripheral blood or by binding of EBERs to TLR3, platelets bind fibrinogen, leading to increased aggregation and coagulation processes. Activation of TLR3 receptors in microglia causes increased release of IL-1β and TNF-α, which increases SERT expression in astrocytes and, therefore, 5-HT reuptake and its degradation to the metabolite 5-HIAA, thus reducing extracellular 5-HT levels. The decrease in 5-HT reduces the activation of neuronal 5-HT1A receptors, possibly inducing the sensation of fatigue. Increases in both proinflammatory cytokines and oxidative and nitrosative stress by activation of microglia via TLR3 could lead to increased IDO activity in microglia, resulting in reduced tryptophan levels, increased kynurenine catabolites, and decreased 5-HT and melatonin synthesis. Quinolinic acid (kynurenine metabolites) is an NAD+ precursor that has neurotoxic properties through binding to the N-methyl-d-aspartate (NMDA) receptor, followed by sustained Ca2+ influx leading to increased nitrosative stress. The increased oxidative and nitrosative stress generated by all these processes could be exploited by EBV-infected cells for their transformation through viral DNA methylation, preventing their replication and favoring the establishment of different types of latency that allow evasion of the immune system.

Availability of data and materials

Not applicable.

References

  1. Lorusso L, Mikhaylova SV, Capelli E, Ferrari D, Ngonga GK, Ricevuti G. Immunological aspects of chronic fatigue syndrome. Autoimmun Rev. 2009;8(4):287–91. https://doi.org/10.1016/j.autrev.2008.08.003.

    Article  PubMed  CAS  Google Scholar 

  2. Kerr JR. Epstein–Barr virus induced gene-2 upregulation identifies a particular subtype of chronic fatigue syndrome/myalgic encephalomyelitis. Front Pediatr. 2019;7(MAR):59. https://doi.org/10.3389/fped.2019.00059.

    Article  PubMed  PubMed Central  Google Scholar 

  3. Timbol CR, Baraniuk JN. Chronic fatigue syndrome in the emergency department. Open Access Emerg Med. 2019;11:15.

    PubMed  PubMed Central  Google Scholar 

  4. Stussman B, Williams A, Snow J, Gavin A, Scott R, Nath A, et al. Characterization of post-exertional malaise in patients with myalgic encephalomyelitis/chronic fatigue syndrome. Front Neurol. 2020;11:1025.

    PubMed  PubMed Central  Google Scholar 

  5. Poenaru S, Abdallah SJ, Corrales-Medina V, Cowan J. COVID-19 and post-infectious myalgic encephalomyelitis/chronic fatigue syndrome: a narrative review. Ther Adv Infect Dis. 2021. https://doi.org/10.1177/20499361211009385.

    Article  PubMed  PubMed Central  Google Scholar 

  6. Valdez AR, Hancock EE, Adebayo S, Kiernicki DJ, Proskauer D, Attewell JR, et al. Estimating prevalence, demographics, and costs of ME/CFS using large scale medical claims data and machine learning. Front Pediatr. 2019;6(JAN):412.

    PubMed  PubMed Central  Google Scholar 

  7. Bakken IJ, Tveito K, Gunnes N, Ghaderi S, Stoltenberg C, Trogstad L, et al. Two age peaks in the incidence of chronic fatigue syndrome/myalgic encephalomyelitis: a population-based registry study from Norway 2008–2012. BMC Med. 2014;12(1):167. https://doi.org/10.1186/s12916-014-0167-5.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Ruiz-Pablos M, Paiva B, Montero-Mateo R, Garcia N, Zabaleta A. Epstein–Barr virus and the origin of myalgic encephalomyelitis or chronic fatigue syndrome. Front Immunol. 2021;12:4637. https://doi.org/10.3389/fimmu.2021.656797.

    Article  CAS  Google Scholar 

  9. Sairenji T, Yamanishi K, Tachibana Y, Bertoni G, Kurata T. Antibody responses to Epstein–Barr virus, human herpesvirus 6 and human herpesvirus 7 in patients with chronic fatigue syndrome. Intervirology. 1995;38(5):269–73. https://doi.org/10.1159/000150450.

    Article  PubMed  CAS  Google Scholar 

  10. Ariza ME. Myalgic encephalomyelitis/chronic fatigue syndrome: the human herpesviruses are back! Biomolecules. 2021;11(2):1–17. https://doi.org/10.3390/biom11020185.

    Article  CAS  Google Scholar 

  11. Cox BS, Alharshawi K, Mena-Palomo I, Lafuse WP, Ariza ME. EBV/HHV-6A dUTPases contribute to myalgic encephalomyelitis/chronic fatigue syndrome pathophysiology by enhancing TFH cell differentiation and extrafollicular activities. JCI insight. 2022;7(11): e158193.

    PubMed  PubMed Central  Google Scholar 

  12. Hickie I, Davenport T, Wakefield D, Vollmer-Conna U, Cameron B, Vernon SD, et al. Post-infective and chronic fatigue syndromes precipitated by viral and non-viral pathogens: prospective cohort study. BMJ. 2006;333(7568):575.

    PubMed  PubMed Central  Google Scholar 

  13. Halpin P, Williams MV, Klimas NG, Fletcher MA, Barnes Z, Ariza ME. Myalgic encephalomyelitis/chronic fatigue syndrome and gulf war illness patients exhibit increased humoral responses to the herpesviruses-encoded dUTPase: Implications in disease pathophysiology. J Med Virol. 2017;89(9):1636–45. https://doi.org/10.1002/jmv.24810.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  14. Jones JF, Ray CG, Minnich LL, Hicks MJ, Kibler R, Lucas DO. Evidence for active Epstein–Barr virus infection in patients with persistent, unexplained illnesses: elevated anti-early antigen antibodies. Ann Intern Med. 1985;102(1):1–7.

    PubMed  CAS  Google Scholar 

  15. Kawai K, Kawai A. Studies on the relationship between chronic fatigue syndrome and Epstein–Barr virus in Japan. Intern Med. 1992;31(3):313–8. https://doi.org/10.2169/internalmedicine.31.313.

    Article  PubMed  CAS  Google Scholar 

  16. Kogelnik AM, Loomis K, Hoegh-Petersen M, Rosso F, Hischier C, Montoya JG. Use of valganciclovir in patients with elevated antibody titers against human herpesvirus-6 (HHV-6) and Epstein–Barr virus (EBV) who were experiencing central nervous system dysfunction including long-standing fatigue. J Clin Virol. 2006;37(Suppl 1):S33–8.

    PubMed  CAS  Google Scholar 

  17. Lerner AM, Beqaj SH, Deeter RG, Fitzgerald JT. IgM serum antibodies to Epstein–Barr virus are uniquely present in a subset of patients with the chronic fatigue syndrome. In Vivo (Brooklyn). 2004;18(2):101–6.

    CAS  Google Scholar 

  18. Lerner AM, Ariza ME, Williams M, Jason L, Beqaj S, Fitzgerald JT, et al. Antibody to Epstein–Barr virus deoxyuridine triphosphate nucleotidohydrolase and deoxyribonucleotide polymerase in a chronic fatigue syndrome subset. PLoS ONE. 2012;7(11): e47891.

    PubMed  PubMed Central  CAS  Google Scholar 

  19. Buchwald D, Cheney PR, Peterson DL, Henry B, Wormsley SB, Geiger A, et al. A chronic illness characterized by fatigue, neurologic and immunologic disorders, and active human herpesvirus type 6 infection. Ann Intern Med. 1992;116(2):103–13.

    PubMed  Google Scholar 

  20. Loebel M, Eckey M, Sotzny F, Hahn E, Bauer S, Grabowski P, et al. Serological profiling of the EBV immune response in chronic fatigue syndrome using a peptide microarray. PLoS ONE. 2017;12(6): e0179124. https://doi.org/10.1371/journal.pone.0179124.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  21. Loebel M, Strohschein K, Giannini C, Koelsch U, Bauer S, Doebis C, et al. Deficient EBV-specific B- and T-cell response in patients with chronic fatigue syndrome. PLoS ONE. 2014;9(1):85387. https://doi.org/10.1371/journal.pone.0085387.

    Article  CAS  Google Scholar 

  22. Manian FA. Simultaneous measurement of antibodies to Epstein–Barr virus, human herpesvirus 6, herpes simplex virus types 1 and 2, and 14 enteroviruses in chronic fatigue syndrome: is there evidence of activation of a nonspecific polyclonal immune response? Clin Infect Dis. 1994;19(3):448–53.

    PubMed  CAS  Google Scholar 

  23. Shikova E, Reshkova V, Kumanova A, Raleva S, Alexandrova D, Capo N, et al. Cytomegalovirus, Epstein–Barr virus, and human herpesvirus-6 infections in patients with myalgic encephalomyelitis/chronic fatigue syndrome. J Med Virol. 2020;92(12):3682–8. https://doi.org/10.1002/jmv.25744.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  24. Sotzny F, Blanco J, Capelli E, Castro-Marrero J, Steiner S, Murovska M, et al. Myalgic encephalomyelitis/chronic fatigue syndrome—evidence for an autoimmune disease. Autoimmun Rev. 2018;17(6):601–9. https://doi.org/10.1016/j.autrev.2018.01.009.

    Article  PubMed  CAS  Google Scholar 

  25. Straus SE, Tosato G, Armstrong G, Lawley T, Preble OT, Henle W, et al. Persisting illness and fatigue in adults with evidence of Epstein–Barr virus infection. Ann Intern Med. 1985;102(1):7–16.

    PubMed  CAS  Google Scholar 

  26. Williams PhDMV, Cox B, Lafuse PhD WP, Ariza ME. Epstein–Barr virus dUTPase induces neuroinflammatory mediators: implications for myalgic encephalomyelitis/chronic fatigue syndrome. Clin Ther. 2019;41(5):848–63. https://doi.org/10.1016/j.clinthera.2019.04.009.

    Article  PubMed Central  CAS  Google Scholar 

  27. Wray BB, Gaughf C, Chandler FW Jr, Berry SS, Latham JE, Wood L, et al. Detection of Epstein–Barr virus and cytomegalovirus in patients with chronic fatigue. Ann Allergy. 1993;71(3):223–6.

    PubMed  CAS  Google Scholar 

  28. Carruthers BM, Van de Sande MI, De Meirleir KL, Klimas NG, Broderick G, Mitchell T, et al. Myalgic encephalomyelitis: international consensus criteria. J Intern Med. 2011;270(4):327–38. https://doi.org/10.1111/j.1365-2796.2011.02428.x.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  29. Gravelsina S, Vilmane A, Svirskis S, Rasa-Dzelzkaleja S, Nora-Krukle Z, Vecvagare K, et al. Biomarkers in the diagnostic algorithm of myalgic encephalomyelitis/chronic fatigue syndrome. Front Immunol. 2022;13: 928945.

    PubMed  PubMed Central  CAS  Google Scholar 

  30. Kasimir F, Toomey D, Liu Z, Kaiping AC, Ariza ME, Prusty BK. Tissue specific signature of HHV-6 infection in ME/CFS. Front Mol Biosci. 2022;9:1044964.

    PubMed  PubMed Central  CAS  Google Scholar 

  31. Komaroff AL. Chronic fatigue syndromes: relationship to chronic viral infections. J Virol Methods. 1988;21(1–4):3–10.

    PubMed  CAS  Google Scholar 

  32. Wagner M, Krueger GRF, Ablashi DV, Whitman JE. Chronic fatigue syndrome (CFS): a critical evaluation of testing for active human herpesvirus-6 (HHV-6) infection. J Chronic Fatigue Syndr. 2011;2(4):3–16. https://doi.org/10.1300/J092v02n04_02.

    Article  Google Scholar 

  33. Nunes JM, Kell DB, Pretorius E. Cardiovascular and haematological pathology in myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS): a role for viruses. Blood Rev. 2023;60: 101075.

    PubMed  PubMed Central  CAS  Google Scholar 

  34. Rasa S, Nora-Krukle Z, Henning N, Eliassen E, Shikova E, Harrer T, et al. Chronic viral infections in myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS). J Transl Med. 2018;16(1):268. https://doi.org/10.1186/s12967-018-1644-y.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  35. Cortes Rivera M, Mastronardi C, Silva-Aldana C, Arcos-Burgos M, Lidbury B. Myalgic encephalomyelitis/chronic fatigue syndrome: a comprehensive review. Diagnostics. 2019;9(3):91. https://doi.org/10.3390/diagnostics9030091.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  36. Torres-Harding S, Sorenson M, Jason LA, Maher K, Fletcher MA. Evidence for T-helper 2 shift and association with illness parameters in chronic fatigue syndrome (CFS). Bull IACFS ME. 2008;16(3):19.

    PubMed  PubMed Central  Google Scholar 

  37. Yang T, Yang Y, Wang D, Li C, Qu Y, Guo J, et al. The clinical value of cytokines in chronic fatigue syndrome. J Transl Med. 2019;17(1):213. https://doi.org/10.1186/s12967-019-1948-6.

    Article  PubMed  PubMed Central  Google Scholar 

  38. Wong N, Nguyen T, Brenu EW, Broadley S, Staines D, Marshall-Gradisnik S, et al. A comparison of cytokine profiles of chronic fatigue syndrome/myalgic encephalomyelitis and multiple sclerosis patients. Int J Clin Med. 2015;6(10):769–83.

    CAS  Google Scholar 

  39. Nakatomi Y, Mizuno K, Ishii A, Wada Y, Tanaka M, Tazawa S, et al. Neuroinflammation in patients with chronic fatigue syndrome/myalgic encephalomyelitis: an 11C-(R)-PK11195 PET study. J Nucl Med. 2014;55(6):945–50.

    PubMed  CAS  Google Scholar 

  40. Brenu EW, van Driel ML, Staines DR, Ashton KJ, Hardcastle SL, Keane J, et al. Longitudinal investigation of natural killer cells and cytokines in chronic fatigue syndrome/myalgic encephalomyelitis. J Transl Med. 2012;10(1):1–11.

    Google Scholar 

  41. Broderick G, Fuite J, Kreitz A, Vernon SD, Klimas N, Fletcher MA. A formal analysis of cytokine networks in chronic fatigue syndrome. Brain Behav Immun. 2010;24(7):1209. https://doi.org/10.1016/j.bbi.2010.04.012.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  42. Giloteaux L, O’Neal A, Castro-Marrero J, Levine SM, Hanson MR. Cytokine profiling of extracellular vesicles isolated from plasma in myalgic encephalomyelitis/chronic fatigue syndrome: a pilot study. J Transl Med. 2020;18(1):1–17. https://doi.org/10.1186/s12967-020-02560-0.

    Article  CAS  Google Scholar 

  43. Komaroff AL. Inflammation correlates with symptoms in chronic fatigue syndrome. Proc Natl Acad Sci USA. 2017;114(34):8914–6. https://doi.org/10.1073/pnas.1712475114.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  44. Mandarano AH, Maya J, Giloteaux L, Peterson DL, Maynard M, Gottschalk CG, et al. Myalgic encephalomyelitis/chronic fatigue syndrome patients exhibit altered T cell metabolism and cytokine associations. J Clin Invest. 2020;130(3):1491–505. https://doi.org/10.1172/JCI132185.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  45. Patarca R. Cytokines and chronic fatigue syndrome. Ann N Y Acad Sci. 2001;933:185–200.

    PubMed  CAS  Google Scholar 

  46. Skowera A, Cleare A, Blair D, Bevis L, Wessely SC, Peakman M. High levels of type 2 cytokine-producing cells in chronic fatigue syndrome. Clin Exp Immunol. 2004;135(2):294–302.

    PubMed  PubMed Central  CAS  Google Scholar 

  47. Torres-Harding S, Sorenson M, Jason L, Maher K, Fletcher M, Reynolds N, et al. The associations between basal salivary cortisol and illness symptomatology in chronic fatigue syndrome. J Appl Biobehav Res. 2008;13(3):157–80. https://doi.org/10.1111/j.1751-9861.2008.00033.x.

    Article  PubMed  PubMed Central  Google Scholar 

  48. Nijhof SL, Rutten JMTM, Uiterwaal CSPM, Bleijenberg G, Kimpen JLL, van de Putte EM. The role of hypocortisolism in chronic fatigue syndrome. Psychoneuroendocrinology. 2014;42:199–206.

    PubMed  CAS  Google Scholar 

  49. Powell DJH, Liossi C, Moss-Morris R, Schlotz W. Unstimulated cortisol secretory activity in everyday life and its relationship with fatigue and chronic fatigue syndrome: a systematic review and subset meta-analysis. Psychoneuroendocrinology. 2013;38(11):2405–22.

    PubMed  CAS  Google Scholar 

  50. Roberts ADL, Wessely S, Chalder T, Papadopoulos A, Cleare AJ. Salivary cortisol response to awakening in chronic fatigue syndrome. Br J Psychiatry. 2004;184(FEB):136–41.

    PubMed  Google Scholar 

  51. Roberts ADL, Charler ML, Papadopoulos A, Wessely S, Chalder T, Cleare AJ. Does hypocortisolism predict a poor response to cognitive behavioural therapy in chronic fatigue syndrome? Psychol Med. 2010;40(3):515–22.

    PubMed  CAS  Google Scholar 

  52. Tomas C, Newton J, Watson S. A review of hypothalamic–pituitary–adrenal axis function in chronic fatigue syndrome. ISRN Neurosci. 2013;2013:1–8.

    Google Scholar 

  53. Tak LM, Cleare AJ, Ormel J, Manoharan A, Kok IC, Wessely S, et al. Meta-analysis and meta-regression of hypothalamic–pituitary–adrenal axis activity in functional somatic disorders. Biol Psychol. 2011;87(2):183–94. https://doi.org/10.1016/j.biopsycho.2011.02.002.

    Article  PubMed  Google Scholar 

  54. Morris G, Anderson G, Maes M. Hypothalamic–pituitary–adrenal hypofunction in myalgic encephalomyelitis (ME)/chronic fatigue syndrome (CFS) as a consequence of activated immune-inflammatory and oxidative and nitrosative pathways. Mol Neurobiol. 2017;54(9):6806–19. https://doi.org/10.1007/s12035-016-0170-2.

    Article  PubMed  CAS  Google Scholar 

  55. Gur A, Cevik R, Nas K, Colpan L, Sarac S. Cortisol and hypothalamic–pituitary–gonadal axis hormones in follicular-phase women with fibromyalgia and chronic fatigue syndrome and effect of depressive symptoms on these hormones. Arthritis Res Ther. 2004;6(3):R232.

    PubMed  PubMed Central  CAS  Google Scholar 

  56. Jason L, Sorenson M, Sebally K, Alkazemi D, Lerch A, Porter N, et al. Increased HDAC in association with decreased plasma cortisol in older adults with chronic fatigue syndrome. Brain Behav Immun. 2011;25(8):1544–7.

    PubMed  CAS  Google Scholar 

  57. Jerjes WK, Cleare AJ, Wessely S, Wood PJ, Taylor NF. Diurnal patterns of salivary cortisol and cortisone output in chronic fatigue syndrome. J Affect Disord. 2005;87(2–3):299–304.

    PubMed  CAS  Google Scholar 

  58. Maloney EM, Boneva RS, Lin JMS, Reeves WC. Chronic fatigue syndrome is associated with metabolic syndrome: results from a case–control study in Georgia. Metabolism. 2010;59(9):1351–7.

    PubMed  CAS  Google Scholar 

  59. Nater UM, Youngblood LS, Jones JF, Unger ER, Miller AH, Reeves WC, et al. Alterations in diurnal salivary cortisol rhythm in a population-based sample of cases with chronic fatigue syndrome. Psychosom Med. 2008;70(3):298–305.

    PubMed  CAS  Google Scholar 

  60. Nater UM, Maloney E, Boneva RS, Gurbaxani BM, Lin JM, Jones JF, et al. Attenuated morning salivary cortisol concentrations in a population-based study of persons with chronic fatigue syndrome and well controls. J Clin Endocrinol Metab. 2008;93(3):703–9.

    PubMed  CAS  Google Scholar 

  61. Konstantinov K, Von Mikecz A, Buchwald D, Jones J, Gerace L, Tan EM. Autoantibodies to nuclear envelope antigens in chronic fatigue syndrome. J Clin Invest. 1996;98(8):1888.

    PubMed  PubMed Central  CAS  Google Scholar 

  62. Loebel M, Grabowski P, Heidecke H, Bauer S, Hanitsch LG, Wittke K, et al. Antibodies to β adrenergic and muscarinic cholinergic receptors in patients with chronic fatigue syndrome. Brain Behav Immun. 2016;52:32–9.

    PubMed  CAS  Google Scholar 

  63. Maes M, Mihaylova I, Leunis JC. Chronic fatigue syndrome is accompanied by an IgM-related immune response directed against neopitopes formed by oxidative or nitrosative damage to lipids and proteins. Neuro Endocrinol Lett. 2006;27(5):615–21.

    PubMed  CAS  Google Scholar 

  64. Maes M, Mihaylova I, Kubera M, Leunis JC, Twisk FNM, Geffard M. IgM-mediated autoimmune responses directed against anchorage epitopes are greater in myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) than in major depression. Metab Brain Dis. 2012;27(4):415–23. https://doi.org/10.1007/s11011-012-9316-8.

    Article  PubMed  CAS  Google Scholar 

  65. Morris G, Berk M, Galecki P, Maes M. The emerging role of autoimmunity in myalgic encephalomyelitis/chronic fatigue syndrome (ME/cfs). Mol Neurobiol. 2014;49(2):741–56.

    PubMed  CAS  Google Scholar 

  66. Nishikai M, Tomomatsu S, Hankins RW, Takagi S, Miyachi K, Kosaka S, et al. Autoantibodies to a 68/48 kDa protein in chronic fatigue syndrome and primary fibromyalgia: a possible marker for hypersomnia and cognitive disorders. Rheumatology. 2001;40(7):806–10.

    PubMed  CAS  Google Scholar 

  67. Op De Beéck K, Vermeersch P, Verschueren P, Westhovens R, Mariën G, Blockmans D, et al. Antinuclear antibody detection by automated multiplex immunoassay in untreated patients at the time of diagnosis. Autoimmun Rev. 2012;12(2):137–43.

    PubMed  Google Scholar 

  68. Shoenfeld Y, Ryabkova VA, Scheibenbogen C, Brinth L, Martinez-Lavin M, Ikeda S, et al. Complex syndromes of chronic pain, fatigue and cognitive impairment linked to autoimmune dysautonomia and small fiber neuropathy. Clin Immunol. 2020;214: 108384.

    PubMed  CAS  Google Scholar 

  69. Tanaka S, Kuratsune H, Hidaka Y, Hakariya Y, Tatsumi KI, Takano T, et al. Autoantibodies against muscarinic cholinergic receptor in chronic fatigue syndrome. Int J Mol Med. 2003;12(2):225–30. https://doi.org/10.3892/ijmm.12.2.225/abstract.

    Article  PubMed  CAS  Google Scholar 

  70. Underhill RA. Myalgic encephalomyelitis, chronic fatigue syndrome: an infectious disease. Med Hypotheses. 2015;85(6):765–73. https://doi.org/10.1016/j.mehy.2015.10.011.

    Article  PubMed  CAS  Google Scholar 

  71. Von Mikecz A, Konstantinov K, Buchwald DS, Gerace L, Tan EM. High frequency of autoantibodies to insoluble cellular antigens in patients with chronic fatigue syndrome. Arthritis Rheum. 1997;40(2):295–305. https://doi.org/10.1002/art.1780400215.

    Article  Google Scholar 

  72. Yamamoto S, Ouchi Y, Nakatsuka D, Tahara T, Mizuno K, Tajima S, et al. Reduction of [11C](+)3-MPB binding in brain of chronic fatigue syndrome with serum autoantibody against muscarinic cholinergic receptor. PLoS ONE. 2012;7(12): e51515.

    PubMed  PubMed Central  CAS  Google Scholar 

  73. Danilenko OV, Gavrilova NY, Churilov LP. Chronic fatigue exhibits heterogeneous autoimmunity characteristics which reflect etiology. Pathophysiology. 2022;29(2):187.

    PubMed  PubMed Central  Google Scholar 

  74. Blomberg J, Gottfries C-G, Elfaitouri A, Rizwan M, Rosén A. Infection elicited autoimmunity and myalgic encephalomyelitis/chronic fatigue syndrome: an explanatory model. Front Immunol. 2018;9(FEB):15. https://doi.org/10.3389/fimmu.2018.00229.

    Article  CAS  Google Scholar 

  75. Hokama Y, Campora CE, Hara C, Kuribayashi T, Le Huynh D, Yabusaki K. Anticardiolipin antibodies in the sera of patients with diagnosed chronic fatigue syndrome. J Clin Lab Anal. 2009;23(4):210–2.

    PubMed  PubMed Central  CAS  Google Scholar 

  76. Hokama Y, Empey-Campora C, Hara C, Higa N, Siu N, Lau R, et al. Acute phase phospholipids related to the cardiolipin of mitochondria in the sera of patients with chronic fatigue syndrome (CFS), chronic Ciguatera fish poisoning (CCFP), and other diseases attributed to chemicals, Gulf War, and marine toxins. J Clin Lab Anal. 2008;22(2):99–105.

    PubMed  PubMed Central  CAS  Google Scholar 

  77. Klein R, Berg PA. High incidence of antibodies to 5-hydroxytryptamine, gangliosides and phospholipids in patients with chronic fatigue and fibromyalgia syndrome and their relatives: evidence for a clinical entity of both disorders. Eur J Med Res. 1995;1(1):21–6.

    PubMed  CAS  Google Scholar 

  78. Nunes JM, Kruger A, Proal A, Kell DB, Pretorius E. The occurrence of hyperactivated platelets and fibrinaloid microclots in myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS). Pharmaceuticals. 2022;15(8):931.

    PubMed  PubMed Central  CAS  Google Scholar 

  79. Nacul L, O’Boyle S, Palla L, Nacul FE, Mudie K, Kingdon CC, et al. How myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) progresses: the natural history of ME/CFS. Front Neurol. 2020;11:826.

    PubMed  PubMed Central  Google Scholar 

  80. Ramos-Casals M, Brito-Zerón P, Mariette X. Systemic and organ-specific immune-related manifestations of COVID-19. Nat Rev Rheumatol. 2021;17(6):315–32.

    PubMed  PubMed Central  CAS  Google Scholar 

  81. Zhang JJ, Dong X, Liu GH, Gao YD. Risk and protective factors for COVID-19 morbidity, severity, and mortality. Clin Rev Allergy Immunol. 2022;1:1–18. https://doi.org/10.1007/s12016-022-08921-5.

    Article  CAS  Google Scholar 

  82. Wu Z, McGoogan JM. Characteristics of and important lessons from the coronavirus disease 2019 (COVID-19) outbreak in China: summary of a report of 72 314 cases from the Chinese center for disease control and prevention. JAMA. 2020;323(13):1239–42.

    PubMed  CAS  Google Scholar 

  83. Zeng N, Zhao YM, Yan W, Li C, Lu QD, Liu L, et al. A systematic review and meta-analysis of long term physical and mental sequelae of COVID-19 pandemic: call for research priority and action. Mol Psychiatry. 2023;28(1):423.

    PubMed  CAS  Google Scholar 

  84. Zhao Y, Shi L, Jiang Z, Zeng N, Mei H, Lu Y, et al. The phenotype and prediction of long-term physical, mental and cognitive COVID-19 sequelae 20 months after recovery, a community-based cohort study in China. Mol Psychiatry. 2023;28(4):1793.

    PubMed  PubMed Central  Google Scholar 

  85. Michelen M, Manoharan L, Elkheir N, Cheng V, Dagens A, Hastie C, et al. Characterising long COVID: a living systematic review. BMJ Glob Health. 2021;6(9): e005427.

    PubMed  Google Scholar 

  86. Lopez-Leon S, Wegman-Ostrosky T, Perelman C, Sepulveda R, Rebolledo PA, Cuapio A, et al. More than 50 long-term effects of COVID-19: a systematic review and meta-analysis. Sci Rep. 2021;11(1):1–12.

    Google Scholar 

  87. Aiyegbusi OL, Hughes SE, Turner G, Rivera SC, McMullan C, Chandan JS, et al. Symptoms, complications and management of long COVID: a review. J R Soc Med. 2021;114(9):428–42. https://doi.org/10.1177/01410768211032850.

    Article  PubMed  PubMed Central  Google Scholar 

  88. Groff D, Sun A, Ssentongo AE, Ba DM, Parsons N, Poudel GR, et al. Short-term and long-term rates of postacute sequelae of SARS-CoV-2 infection: a systematic review. JAMA Netw Open. 2021;4(10): e2128568.

    PubMed  PubMed Central  Google Scholar 

  89. Robineau O, Wiernik E, Lemogne C, de Lamballerie X, Ninove L, Blanché H, et al. Persistent symptoms after the first wave of COVID-19 in relation to SARS-CoV-2 serology and experience of acute symptoms: a nested survey in a population-based cohort. Lancet Reg Health Eur. 2022;17: 100363.

    PubMed  PubMed Central  Google Scholar 

  90. Subramanian A, Nirantharakumar K, Hughes S, Myles P, Williams T, Gokhale KM, et al. Symptoms and risk factors for long COVID in non-hospitalized adults. Nat Med. 2022;28(8):1706–14.

    PubMed  PubMed Central  CAS  Google Scholar 

  91. Nath A. Long-haul COVID. Neurology. 2020;95(13):559–60.

    PubMed  CAS  Google Scholar 

  92. Aucott JN, Rebman AW. Long-haul COVID: heed the lessons from other infection-triggered illnesses. Lancet. 2021;397(10278):967.

    PubMed  PubMed Central  CAS  Google Scholar 

  93. Garg P, Arora U, Kumar A, Wig N. The, “post-COVID” syndrome: how deep is the damage? J Med Virol. 2021;93(2):673.

    PubMed  CAS  Google Scholar 

  94. Parker AM, Brigham E, Connolly B, McPeake J, Agranovich AV, Kenes MT, et al. Addressing the post-acute sequelae of SARS-CoV-2 infection: a multidisciplinary model of care. Lancet Respir Med. 2021;9(11):1328–41.

    PubMed  PubMed Central  CAS  Google Scholar 

  95. Cau R, Faa G, Nardi V, Balestrieri A, Puig J, Suri JS, et al. Long-COVID diagnosis: from diagnostic to advanced AI-driven models. Eur J Radiol. 2022;148: 110164.

    PubMed  PubMed Central  Google Scholar 

  96. Di Toro A, Bozzani A, Tavazzi G, Urtis M, Giuliani L, Pizzoccheri R, et al. Long COVID: long-term effects? Eur Heart J Suppl. 2021;23(Suppl E):E1.

    PubMed  PubMed Central  Google Scholar 

  97. Zollner A, Koch R, Jukic A, Pfister A, Meyer M, Rössler A, et al. Postacute COVID-19 is characterized by gut viral antigen persistence in inflammatory bowel diseases. Gastroenterology. 2022;163(2):495-506.e8.

    PubMed  CAS  Google Scholar 

  98. Tejerina F, Catalan P, Rodriguez-Grande C, Adan J, Rodriguez-Gonzalez C, Muñoz P, et al. Post-COVID-19 syndrome. SARS-CoV-2 RNA detection in plasma, stool, and urine in patients with persistent symptoms after COVID-19. BMC Infect Dis. 2022;22(1):1–8. https://doi.org/10.1186/s12879-022-07153-4.

    Article  CAS  Google Scholar 

  99. Jacobs JJL. Persistent SARS-2 infections contribute to long COVID-19. Med Hypotheses. 2021;149: 110538.

    PubMed  PubMed Central  CAS  Google Scholar 

  100. Swank Z, Senussi Y, Manickas-Hill Z, Yu XG, Li JZ, Alter G, et al. Persistent circulating severe acute respiratory syndrome coronavirus 2 spike is associated with post-acute coronavirus disease 2019 sequelae. Clin Infect Dis. 2023;76(3):e487–90.

    PubMed  Google Scholar 

  101. Gaebler C, Wang Z, Lorenzi JCC, Muecksch F, Finkin S, Tokuyama M, et al. Evolution of antibody immunity to SARS-CoV-2. Nature. 2021;591(7851):639–44.

    PubMed  PubMed Central  CAS  Google Scholar 

  102. Cheung CCL, Goh D, Lim X, Tien TZ, Lim JCT, Lee JN, et al. Residual SARS-CoV-2 viral antigens detected in GI and hepatic tissues from five recovered patients with COVID-19. Gut. 2022;71(1):226–9.

    PubMed  CAS  Google Scholar 

  103. Natarajan A, Zlitni S, Brooks EF, Vance SE, Dahlen A, Hedlin H, et al. Gastrointestinal symptoms and fecal shedding of SARS-CoV-2 RNA suggest prolonged gastrointestinal infection. Med. 2022;3(6):371.

    PubMed  CAS  Google Scholar 

  104. Stein SR, Ramelli SC, Grazioli A, Chung JY, Singh M, Yinda CK, et al. SARS-CoV-2 infection and persistence in the human body and brain at autopsy. Nature. 2022;612(7941):758–63.

    PubMed  PubMed Central  CAS  Google Scholar 

  105. Zuo T, Liu Q, Zhang F, Lui GCY, Tso EYK, Yeoh YK, et al. Depicting SARS-CoV-2 faecal viral activity in association with gut microbiota composition in patients with COVID-19. Gut. 2021;70(2):276–84.

    PubMed  CAS  Google Scholar 

  106. Seeble J, Waterboer T, Hippchen T, Simon J, Kirchner M, Lim A, et al. Persistent symptoms in adult patients 1 year after coronavirus disease 2019 (COVID-19): a prospective cohort study. Clin Infect Dis. 2022;74(7):1191–8.

    Google Scholar 

  107. Arthur JM, Forrest JC, Boehme KW, Kennedy JL, Owens S, Herzog C, et al. Development of ACE2 autoantibodies after SARS-CoV-2 infection. PLoS ONE. 2021;16(9): e0257016.

    PubMed  PubMed Central  CAS  Google Scholar 

  108. Wallukat G, Hohberger B, Wenzel K, Fürst J, Schulze-Rothe S, Wallukat A, et al. Functional autoantibodies against G-protein coupled receptors in patients with persistent long-COVID-19 symptoms. J Transl Autoimmun. 2021;4: 100100.

    PubMed  PubMed Central  CAS  Google Scholar 

  109. Ortona E, Buonsenso D, Carfi A, Malorni W. Long COVID: an estrogen-associated autoimmune disease? Cell Death Discov. 2021;7(1):1–3.

    Google Scholar 

  110. Acosta-Ampudia Y, Monsalve DM, Rojas M, Rodriguez Y, Zapata E, Ramirez-Santana C, et al. Persistent autoimmune activation and proinflammatory state in post-coronavirus disease 2019 syndrome. J Infect Dis. 2022;225(12):2155–62.

    PubMed  CAS  Google Scholar 

  111. Dotan A, Muller S, Kanduc D, David P, Halpert G, Shoenfeld Y. The SARS-CoV-2 as an instrumental trigger of autoimmunity. Autoimmun Rev. 2021;20(4): 102792.

    PubMed  PubMed Central  CAS  Google Scholar 

  112. L’Huillier AG, Pagano S, Baggio S, Meyer B, Andrey DO, Nehme M, et al. Autoantibodies against apolipoprotein A-1 after COVID-19 predict symptoms persistence. Eur J Clin Invest. 2022;52(10): e13818.

    PubMed  Google Scholar 

  113. Pisareva E, Badiou S, Mihalovičová L, Mirandola A, Pastor B, Kudriavtsev A, et al. Persistence of neutrophil extracellular traps and anticardiolipin auto-antibodies in post-acute phase COVID-19 patients. J Med Virol. 2023;95(1): e28209.

    PubMed  CAS  Google Scholar 

  114. Sotzny F, Filgueiras IS, Kedor C, Freitag H, Wittke K, Bauer S, et al. Dysregulated autoantibodies targeting vaso- and immunoregulatory receptors in post COVID syndrome correlate with symptom severity. Front Immunol. 2022;13:5182.

    Google Scholar 

  115. Szewczykowski C, Mardin C, Lucio M, Wallukat G, Hoffmanns J, Schröder T, et al. Long COVID: association of functional autoantibodies against G-protein-coupled receptors with an impaired retinal microcirculation. Int J Mol Sci. 2022;23(13):7209.

    PubMed  PubMed Central  CAS  Google Scholar 

  116. Wang EY, Mao T, Klein J, Dai Y, Huck JD, Jaycox JR, et al. Diverse functional autoantibodies in patients with COVID-19. Nature. 2021;595(7866):283–8.

    PubMed  CAS  Google Scholar 

  117. Phetsouphanh C, Darley DR, Wilson DB, Howe A, Munier CML, Patel SK, et al. Immunological dysfunction persists for 8 months following initial mild-to-moderate SARS-CoV-2 infection. Nat Immunol. 2022;23(2):210–6.

    PubMed  CAS  Google Scholar 

  118. Schultheiß C, Willscher E, Paschold L, Gottschick C, Klee B, Henkes SS, et al. The IL-1β, IL-6, and TNF cytokine triad is associated with post-acute sequelae of COVID-19. Cell Rep Med. 2022;3(6): 100663.

    PubMed  PubMed Central  Google Scholar 

  119. Shuwa HA, Shaw TN, Knight SB, Wemyss K, McClure FA, Pearmain L, et al. Alterations in T and B cell function persist in convalescent COVID-19 patients. Med. 2021;2(6):720-735.e4.

    PubMed  CAS  Google Scholar 

  120. Fernández-Castañeda A, Lu P, Geraghty AC, Song E, Lee M-H, Wood J, et al. Mild respiratory SARS-CoV-2 infection can cause multi-lineage cellular dysregulation and myelin loss in the brain. bioRxiv. 2022. https://doi.org/10.1101/2022.01.07.475453v1.

    Article  PubMed  PubMed Central  Google Scholar 

  121. Bellan M, Apostolo D, Albè A, Crevola M, Errica N, Ratano G, et al. Determinants of long COVID among adults hospitalized for SARS-CoV-2 infection: a prospective cohort study. Front Immunol. 2022;13:1038227.

    PubMed  PubMed Central  Google Scholar 

  122. Fernández-Castañeda A, Lu P, Geraghty AC, Song E, Lee MH, Wood J, et al. Mild respiratory COVID can cause multi-lineage neural cell and myelin dysregulation. Cell. 2022;185(14):2452-2468.e16.

    PubMed  PubMed Central  Google Scholar 

  123. Galán M, Vigón L, Fuertes D, Murciano-Antón MA, Casado-Fernández G, Domínguez-Mateos S, et al. Persistent overactive cytotoxic immune response in a spanish cohort of individuals with long-COVID: identification of diagnostic biomarkers. Front Immunol. 2022;13: 848886.

    PubMed  PubMed Central  Google Scholar 

  124. Low RN, Low RJ, Akrami A. A review of cytokine-based pathophysiology of Long COVID symptoms. Front Med. 2023;10:1011936. https://doi.org/10.3389/fmed.2023.1011936/full.

    Article  Google Scholar 

  125. Patterson BK, Guevara-Coto J, Yogendra R, Francisco E, Long E, Pise A, et al. Immune-based prediction of COVID-19 severity and chronicity decoded using machine learning. bioRxiv. 2020. https://doi.org/10.1101/2020.12.16.423122v1.

    Article  PubMed  PubMed Central  Google Scholar 

  126. Ruenjaiman V, Sodsai P, Kueanjinda P, Bunrasmee W, Klinchanhom S, Reantragoon R, et al. Impact of SARS-CoV-2 infection on the profiles and responses of innate immune cells after recovery. J Microbiol Immunol Infect. 2022;55(6 Pt 1):993–1004.

    PubMed  PubMed Central  CAS  Google Scholar 

  127. Ryan FJ, Hope CM, Masavuli MG, Lynn MA, Mekonnen ZA, Yeow AEL, et al. Long-term perturbation of the peripheral immune system months after SARS-CoV-2 infection. BMC Med. 2022;20(1):1–23. https://doi.org/10.1186/s12916-021-02228-6.

    Article  CAS  Google Scholar 

  128. Klein J, Wood J, Jaycox J, Lu P, Dhodapkar RM, Gehlhausen JR, et al. Distinguishing features of long COVID identified through immune profiling. medRxiv. 2022. https://doi.org/10.1101/2022.08.09.22278592v1.

    Article  PubMed  PubMed Central  Google Scholar 

  129. Gold JE, Okyay RA, Licht WE, Hurley DJ. Investigation of long COVID prevalence and its relationship to Epstein–Barr virus reactivation. Pathogens. 2021;10(6):763.

    PubMed  PubMed Central  CAS  Google Scholar 

  130. Simonnet A, Engelmann I, Moreau AS, Garcia B, Six S, El Kalioubie A, et al. High incidence of Epstein–Barr virus, cytomegalovirus, and human-herpes virus-6 reactivations in critically ill patients with COVID-19. Infect Dis now. 2021;51(3):296–9.

    PubMed  PubMed Central  CAS  Google Scholar 

  131. Khani E, Entezari-Maleki T. Fluvoxamine and long COVID-19; a new role for sigma-1 receptor (S1R) agonists. Mol Psychiatry. 2022;27(9):3562.

    PubMed  PubMed Central  CAS  Google Scholar 

  132. Hashimoto K. Detrimental effects of COVID-19 in the brain and therapeutic options for long COVID: the role of Epstein–Barr virus and the gut–brain axis. Mol Psychiatry. 2023;2023:1–9.

    Google Scholar 

  133. Su Y, Yuan D, Chen DG, Ng RH, Wang K, Choi J, et al. Multiple early factors anticipate post-acute COVID-19 sequelae. Cell. 2022;185(5):881-895.e20.

    PubMed  PubMed Central  CAS  Google Scholar 

  134. Apostolou E, Rizwan M, Moustardas P, Sjögren P, Bertilson BC, Bragée B, et al. Saliva antibody-fingerprint of reactivated latent viruses after mild/asymptomatic COVID-19 is unique in patients with myalgic-encephalomyelitis/chronic fatigue syndrome. Front Immunol. 2022;13:6407.

    Google Scholar 

  135. Brooks B, Tancredi C, Song Y, Mogus AT, Huang MLW, Zhu H, et al. Epstein–Barr virus and human herpesvirus-6 reactivation in acute COVID-19 patients. Viruses. 2022;14(9):1872.

    PubMed  PubMed Central  CAS  Google Scholar 

  136. Carneiro VC, Alves-Leon SV, Sarmento DJ, Coelho WL, Moreira OD, Salvio AL, et al. Herpesvirus and neurological manifestations in patients with severe coronavirus disease. Virol J. 2022;19(1):1–9.

    Google Scholar 

  137. Peluso MJ, Deeks SG. Early clues regarding the pathogenesis of long-COVID. Trends Immunol. 2022;43(4):268–70.

    PubMed  PubMed Central  CAS  Google Scholar 

  138. Peluso MJ, Deveau TM, Munter SE, Ryder D, Buck A, Beck-Engeser G, et al. Chronic viral coinfections differentially affect the likelihood of developing long COVID. J Clin Invest. 2023. https://doi.org/10.1172/JCI163669.

    Article  PubMed  PubMed Central  Google Scholar 

  139. Proal AD, VanElzakker MB. Long COVID or post-acute sequelae of COVID-19 (PASC): an overview of biological factors that may contribute to persistent symptoms. Front Microbiol. 2021;12:1494.

    Google Scholar 

  140. Shafiee A, Teymouri Athar MM, Amini MJ, Hajishah H, Siahvoshi S, Jalali M, et al. Reactivation of herpesviruses during COVID-19: a systematic review and meta-analysis. Rev Med Virol. 2023;33(3): e2437.

    PubMed  CAS  Google Scholar 

  141. Salzano C, Saracino G, Cardillo G. Possible adrenal involvement in long COVID syndrome. Medicina. 2021;57(10):1087.

    PubMed  PubMed Central  Google Scholar 

  142. Sunada N, Honda H, Nakano Y, Yamamoto K, Tokumasu K, Sakurada Y, et al. Hormonal trends in patients suffering from long COVID symptoms. Endocr J. 2022;69(10):1173–81.

    PubMed  CAS  Google Scholar 

  143. Yavropoulou MP, Tsokos GC, Chrousos GP, Sfikakis PP. Protracted stress-induced hypocortisolemia may account for the clinical and immune manifestations of long COVID. Clin Immunol. 2022;245: 109133.

    PubMed  PubMed Central  CAS  Google Scholar 

  144. Grobbelaar LM, Venter C, Vlok M, Ngoepe M, Laubscher GJ, Lourens PJ, et al. SARS-CoV-2 spike protein S1 induces fibrin(ogen) resistant to fibrinolysis: implications for microclot formation in COVID-19. Biosci Rep. 2021;41(8):20210611.

    Google Scholar 

  145. Buonsenso D, Di Giuda D, Sigfrid L, Pizzuto DA, Di Sante G, De Rose C, et al. Evidence of lung perfusion defects and ongoing inflammation in an adolescent with post-acute sequelae of SARS-CoV-2 infection. Lancet Child Adolesc Heal. 2021;5(9):677–80.

    CAS  Google Scholar 

  146. Pretorius E, Vlok M, Venter C, Bezuidenhout JA, Laubscher GJ, Steenkamp J, et al. Persistent clotting protein pathology in long COVID/post-acute sequelae of COVID-19 (PASC) is accompanied by increased levels of antiplasmin. Cardiovasc Diabetol. 2021;20(1):1–18. https://doi.org/10.1186/s12933-021-01359-7.

    Article  CAS  Google Scholar 

  147. Kell DB, Laubscher GJ, Pretorius E. A central role for amyloid fibrin microclots in long COVID/PASC: origins and therapeutic implications. Biochem J. 2022;479(4):537.

    PubMed  CAS  Google Scholar 

  148. Grobbelaar LM, Kruger A, Venter C, Burger EM, Laubscher GJ, Maponga TG, et al. Relative hypercoagulopathy of the SARS-CoV-2 beta and delta variants when compared to the less severe omicron variants is related to TEG parameters, the extent of fibrin amyloid microclots, and the severity of clinical illness. Semin Thromb Hemost. 2022;48(7):858–68.

    PubMed  CAS  Google Scholar 

  149. Kruger A, Vlok M, Turner S, Venter C, Laubscher GJ, Kell DB, et al. Proteomics of fibrin amyloid microclots in long COVID/post-acute sequelae of COVID-19 (PASC) shows many entrapped pro-inflammatory molecules that may also contribute to a failed fibrinolytic system. Cardiovasc Diabetol. 2022;21(1):1–23.

    Google Scholar 

  150. Morrow AK, Malone LA, Kokorelis C, Petracek LS, Eastin EF, Lobner KL, et al. Long-term COVID 19 sequelae in adolescents: the overlap with orthostatic intolerance and ME/CFS. Curr Pediatr Rep. 2022;10(2):31–44.

    PubMed  PubMed Central  Google Scholar 

  151. Salari N, Khodayari Y, Hosseinian-Far A, Zarei H, Rasoulpoor S, Akbari H, et al. Global prevalence of chronic fatigue syndrome among long COVID-19 patients: a systematic review and meta-analysis. Biopsychosoc Med. 2022;16(1):21.

    PubMed  PubMed Central  Google Scholar 

  152. Tate W, Walker M, Sweetman E, Helliwell A, Peppercorn K, Edgar C, et al. Molecular mechanisms of neuroinflammation in ME/CFS and long COVID to sustain disease and promote relapses. Front Neurol. 2022;13: 877772.

    PubMed  PubMed Central  Google Scholar 

  153. Vernon SD, Hartle M, Sullivan K, Bell J, Abbaszadeh S, Unutmaz D, et al. Post-exertional malaise among people with long COVID compared to myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS). Work. 2023;74(4):1–8.

    Google Scholar 

  154. Friedman KJ, Murovska M, Pheby DFH, Zalewski P. Our evolving understanding of ME/CFS. Medicina. 2021;57(3):1–5.

    Google Scholar 

  155. Komaroff AL, Bateman L. Will COVID-19 lead to myalgic encephalomyelitis/chronic fatigue syndrome? Front Med. 2020;7: 606824.

    Google Scholar 

  156. Wong TL, Weitzer DJ. Long COVID and myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS)—a systemic review and comparison of clinical presentation and symptomatology. Medicina. 2021;57(5):418. https://doi.org/10.3390/medicina57050418.

    Article  PubMed  PubMed Central  Google Scholar 

  157. Bonilla H, Quach TC, Tiwari A, Bonilla AE, Miglis M, Yang PC, et al. Myalgic encephalomyelitis/chronic fatigue syndrome is common in post-acute sequelae of SARS-CoV-2 infection (PASC): results from a post-COVID-19 multidisciplinary clinic. Front Neurol. 2023;14:1090747.

    PubMed  PubMed Central  Google Scholar 

  158. Jason LA, Dorri JA. ME/CFS and post-exertional malaise among patients with long COVID. Neurol Int. 2023;15(1):1–11.

    Google Scholar 

  159. Komaroff AL, Lipkin WI. ME/CFS and long COVID share similar symptoms and biological abnormalities: road map to the literature. Front Med. 2023;10:1187163.

    Google Scholar 

  160. Vojdani A, Vojdani E, Saidara E, Maes M. Persistent SARS-CoV-2 infection, EBV, HHV-6 and other factors may contribute to inflammation and autoimmunity in long COVID. Viruses. 2023;15(2):400.

    PubMed  PubMed Central  CAS  Google Scholar 

  161. Gottschalk CG, Peterson D, Armstrong J, Knox K, Roy A. Potential molecular mechanisms of chronic fatigue in long haul COVID and other viral diseases. Infect Agents Cancer. 2023;18(1):1–16. https://doi.org/10.1186/s13027-023-00485-z.

    Article  Google Scholar 

  162. Nunn AVW, Guy GW, Botchway SW, Bell JD. SARS-CoV-2 and EBV; the cost of a second mitochondrial “whammy”? Immun Ageing. 2021;18(1):1–4. https://doi.org/10.1186/s12979-021-00252-x.

    Article  CAS  Google Scholar 

  163. Dubois RE, Seeley JK, Brus I, Sakamoto K, Ballow M, Harada S, et al. Chronic mononucleosis syndrome. South Med J. 1984;77(11):1376–82. https://doi.org/10.1097/00007611-198411000-00007.

    Article  PubMed  CAS  Google Scholar 

  164. Jacobson SK, Daly JS, Thorne GM, McIntosh K. Chronic parvovirus B19 infection resulting in chronic fatigue syndrome: case history and review. Clin Infect Dis. 1997;24(6):1048–51. https://doi.org/10.1086/513627.

    Article  PubMed  CAS  Google Scholar 

  165. Ortega-Hernandez O-D, Shoenfeld Y. Infection, vaccination, and autoantibodies in chronic fatigue syndrome, cause or coincidence? Ann N Y Acad Sci. 2009;1173(1):600–9. https://doi.org/10.1111/j.1749-6632.2009.04799.x.

    Article  PubMed  CAS  Google Scholar 

  166. Schreiner P, Harrer T, Scheibenbogen C, Lamer S, Schlosser A, Naviaux RK, et al. Human herpesvirus-6 reactivation, mitochondrial fragmentation, and the coordination of antiviral and metabolic phenotypes in myalgic encephalomyelitis/chronic fatigue syndrome. ImmunoHorizons. 2020;4(4):201–15. https://doi.org/10.4049/immunohorizons.2000006.

    Article  PubMed  CAS  Google Scholar 

  167. O’Neal AJ, Hanson MR. The enterovirus theory of disease etiology in myalgic encephalomyelitis/chronic fatigue syndrome: a critical review. Front Med. 2021. https://doi.org/10.3389/fmed.2021.688486.

    Article  Google Scholar 

  168. Chia JKS. The role of enterovirus in chronic fatigue syndrome. J Clin Pathol. 2005;58(11):1126–32.

    PubMed  PubMed Central  CAS  Google Scholar 

  169. Bested AC, Marshall LM. Review of myalgic encephalomyelitis/chronic fatigue syndrome: an evidence-based approach to diagnosis and management by clinicians. Rev Environ Health. 2015;30(4):223–49. https://doi.org/10.1515/reveh-2015-0026.

    Article  PubMed  Google Scholar 

  170. Smatti MK, Al-Sadeq DW, Ali NH, Pintus G, Abou-Saleh H, Nasrallah GK. Epstein–Barr virus epidemiology, serology, and genetic variability of LMP-1 oncogene among healthy population: an update. Front Oncol. 2018;8(JUN):211.

    PubMed  PubMed Central  Google Scholar 

  171. Ruiz-Pablos M. CD4+ cytotoxic T cells involved in the development of EBV-associated diseases. Pathogens. 2022;11(8):831.

    PubMed  PubMed Central  CAS  Google Scholar 

  172. Croia C, Astorri E, Murray-Brown W, Willis A, Brokstad KA, Sutcliffe N, et al. Implication of Epstein–Barr virus infection in disease-specific autoreactive B cell activation in ectopic lymphoid structures of Sjögren’s syndrome. Arthritis Rheumatol. 2014;66(9):2545–57. https://doi.org/10.1002/ART.38726.

    Article  PubMed  CAS  Google Scholar 

  173. Serafini B, Rosicarelli B, Franciotta D, Magliozzi R, Reynolds R, Cinque P, et al. Dysregulated Epstein–Barr virus infection in the multiple sclerosis brain. J Exp Med. 2007;204(12):2899. https://doi.org/10.1084/JEM.20071030.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  174. Cavalcante P, Serafini B, Rosicarelli B, Maggi L, Barberis M, Antozzi C, et al. Epstein–Barr virus persistence and reactivation in myasthenia gravis thymus. Ann Neurol. 2010;67(6):726–38. https://doi.org/10.1002/ANA.21902.

    Article  PubMed  Google Scholar 

  175. Croia C, Serafini B, Bombardieri M, Kelly S, Humby F, Severa M, et al. Epstein–Barr virus persistence and infection of autoreactive plasma cells in synovial lymphoid structures in rheumatoid arthritis. Ann Rheum Dis. 2013;72(9):1559–68. https://doi.org/10.1136/annrheumdis-2012-202352.

    Article  PubMed  CAS  Google Scholar 

  176. Lucchesi D, Bombardieri M. The role of viruses in autoreactive B cell activation within tertiary lymphoid structures in autoimmune diseases. J Leukoc Biol. 2013;94(6):1191–9. https://doi.org/10.1189/JLB.0413240.

    Article  PubMed  Google Scholar 

  177. Fukayama M, Abe H, Kunita A, Shinozaki-Ushiku A, Matsusaka K, Ushiku T, et al. Thirty years of Epstein–Barr virus-associated gastric carcinoma. Virchows Arch. 2020;476(3):353–65. https://doi.org/10.1007/s00428-019-02724-4.

    Article  PubMed  Google Scholar 

  178. Draborg AH, Duus K, Houen G. Epstein–Barr virus in systemic autoimmune diseases. Clin Dev Immunol. 2013. https://doi.org/10.1155/2013/535738.

    Article  PubMed  PubMed Central  Google Scholar 

  179. Ascherio A, Munger KL. EBV and autoimmunity. In: Epstein Barr virus, vol. 1. Cham: Springer; 2015. p. 365–85. https://doi.org/10.1007/978-3-319-22822-8_15.

    Chapter  Google Scholar 

  180. Cao Y, Xie L, Shi F, Tang M, Li Y, Hu J, et al. Targeting the signaling in Epstein–Barr virus-associated diseases: mechanism, regulation, and clinical study. Signal Transduct Target Ther. 2021;6(1):1–33.

    Google Scholar 

  181. Bjornevik K, Cortese M, Healy BC, Kuhle J, Mina MJ, Leng Y, et al. Longitudinal analysis reveals high prevalence of Epstein–Barr virus associated with multiple sclerosis. Science (80-). 2022;375(6578):296–301. https://doi.org/10.1126/science.abj8222.

    Article  CAS  Google Scholar 

  182. Zdimerova H, Murer A, Engelmann C, Raykova A, Deng Y, Gujer C, et al. Attenuated immune control of Epstein–Barr virus in humanized mice is associated with the multiple sclerosis risk factor HLA-DR15. Eur J Immunol. 2021;51(1):64–75. https://doi.org/10.1002/eji.202048655.

    Article  PubMed  CAS  Google Scholar 

  183. Mangalam AK, Taneja V, David CS. HLA class II molecules influence susceptibility vs protection in inflammatory diseases by determining the cytokine profile. J Immunol. 2013;190(2):513.

    PubMed  CAS  Google Scholar 

  184. Trowsdale J. The MHC, disease and selection. Immunol Lett. 2011;137(1–2):1–8.

    PubMed  CAS  Google Scholar 

  185. Bontrop RE, Otting N, De Groot NG, Doxiadis GGM. Major histocompatibility complex class II polymorphisms in primates. Immunol Rev. 1999;167(1):339–50. https://doi.org/10.1111/j.1600-065x.1999.tb01403.x.

    Article  PubMed  CAS  Google Scholar 

  186. Yan ZH, Fan Y, Wang XH, Mao Q, Deng GH, Wang YM. Relationship between HLA-DR gene polymorphisms and outcomes of hepatitis B viral infections: a meta-analysis. World J Gastroenterol. 2012;18(24):3119.

    PubMed  PubMed Central  CAS  Google Scholar 

  187. Variation in the human genome—Google Libros. https://books.google.es/books?hl=es&lr=&id=-3hQJ_VC66UC&oi=fnd&pg=PR5&ots=kXkex_p3hm&sig=5ZOwf2ZZYWzAy9tUQ5bX_PQDUOU&redir_esc=y#v=onepage&q&f=false. Accessed 24 Aug 2022.

  188. Ehlers B, Spieß K, Leendertz F, Peeters M, Boesch C, Gatherer D, et al. Lymphocryptovirus phylogeny and the origins of Epstein–Barr virus. J Gen Virol. 2010;91(3):630–42. https://doi.org/10.1099/vir.0.017251-0.

    Article  PubMed  CAS  Google Scholar 

  189. Ressing ME, Van Leeuwen D, Verreck FAW, Gomez R, Heemskerk B, Toebes M, et al. Interference with T cell receptor-HLA-DR interactions by Epstein–Barr virus gp42 results in reduced T helper cell recognition. Proc Natl Acad Sci USA. 2003;100(20):11583–8. https://doi.org/10.1073/pnas.2034960100.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  190. Trier N, Izarzugaza J, Chailyan A, Marcatili P, Houen G. Human MHC-II with shared epitope motifs are optimal Epstein–Barr virus glycoprotein 42 ligands—relation to rheumatoid arthritis. Int J Mol Sci. 2018;19(1):317. https://doi.org/10.3390/ijms19010317.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  191. Li Q, Bu W, Gabriel E, Aguilar F, Hoshino Y, Miyadera H, et al. HLA-DQ β1 alleles associated with Epstein–Barr virus (EBV) infectivity and EBV gp42 binding to cells. JCI Insight. 2017;2(4): e85687. https://doi.org/10.1172/jci.insight.85687.

    Article  PubMed  PubMed Central  Google Scholar 

  192. Spriggs MK, Armitage RJ, Comeau MR, Strockbine L, Farrah T, Macduff B, et al. The extracellular domain of the Epstein–Barr virus BZLF2 protein binds the HLA-DR beta chain and inhibits antigen presentation. J Virol. 1996;70(8):5557–63. https://doi.org/10.1128/JVI.70.8.5557-5563.1996.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  193. Leung CS, Haigh TA, Mackay LK, Rickinson AB, Taylor GS. Nuclear location of an endogenously expressed antigen, EBNA1, restricts access to macroautophagy and the range of CD4 epitope display. Proc Natl Acad Sci USA. 2010;107(5):2165–70. https://doi.org/10.1073/pnas.0909448107.

    Article  PubMed  PubMed Central  Google Scholar 

  194. Eriksen W. The spread of EBV to ectopic lymphoid aggregates may be the final common pathway in the pathogenesis of ME/CFS. Med Hypotheses. 2017;102:8–15. https://doi.org/10.1016/j.mehy.2017.02.011.

    Article  PubMed  Google Scholar 

  195. Pitzalis C, Jones GW, Bombardieri M, Jones SA. Ectopic lymphoid-like structures in infection, cancer and autoimmunity. Nat Rev Immunol. 2014;14(7):447–62. https://doi.org/10.1038/nri3700.

    Article  PubMed  CAS  Google Scholar 

  196. Manzo A, Bombardieri M, Humby F, Pitzalis C. Secondary and ectopic lymphoid tissue responses in rheumatoid arthritis: from inflammation to autoimmunity and tissue damage/remodeling. Immunol Rev. 2010;233(1):267–85. https://doi.org/10.1111/J.0105-2896.2009.00861.X.

    Article  PubMed  CAS  Google Scholar 

  197. López-Montañés M, Alari-Pahissa E, Sintes J, Martínez-Rodríguez JE, Muntasell A, López-Botet M. Antibody-dependent NK cell activation differentially targets EBV-infected cells in lytic cycle and bystander B lymphocytes bound to viral antigen-containing particles. J Immunol. 2017;199(2):656–65. https://doi.org/10.4049/jimmunol.1601574.

    Article  PubMed  CAS  Google Scholar 

  198. Hatton OL, Harris-Arnold A, Schaffert S, Krams SM, Martinez OM. The interplay between Epstein–Barr virus and B lymphocytes: implications for infection, immunity, and disease. Immunol Res. 2014;58(2–3):268–76. https://doi.org/10.1007/s12026-014-8496-1.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  199. Wosen JE, Mukhopadhyay D, MacAubas C, Mellins ED. Epithelial MHC class II expression and its role in antigen presentation in the gastrointestinal and respiratory tracts. Front Immunol. 2018;9(SEP):2144. https://doi.org/10.3389/fimmu.2018.02144.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  200. Schroder K, Hertzog PJ, Ravasi T, Hume DA. Interferon-γ: an overview of signals, mechanisms and functions. J Leukoc Biol. 2004;75(2):163–89. https://doi.org/10.1189/JLB.0603252.

    Article  PubMed  CAS  Google Scholar 

  201. Iwakiri D, Takada K. Role of EBERs in the pathogenesis of EBV infection. Adv Cancer Res. 2010;107:119–36. https://doi.org/10.1016/S0065-230X(10)07004-1.

    Article  PubMed  CAS  Google Scholar 

  202. Liu W, Lin Y, Xiao H, Xing S, Chen H, Chi P, et al. Epstein–Barr virus infection induces indoleamine 2,3-dioxygenase expression in human monocyte-derived macrophages through p38/mitogen-activated protein kinase and NF-κB pathways: impairment in T cell functions. J Virol. 2014;88(12):6660–71. https://doi.org/10.1128/JVI.03678-13.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  203. Tzartos JS, Khan G, Vossenkamper A, Cruz-Sadaba M, Lonardi S, Sefia E, et al. Association of innate immune activation with latent Epstein–Barr virus in active MS lesions. Neurology. 2012;78(1):15–23. https://doi.org/10.1212/WNL.0b013e31823ed057.

    Article  PubMed  CAS  Google Scholar 

  204. Glaser R, Litsky ML, Padgett DA, Baiocchi RA, Yang EV, Chen M, et al. EBV-encoded dUTPase induces immune dysregulation: implications for the pathophysiology of EBV-associated disease. Virology. 2006;346(1):205–18. https://doi.org/10.1016/j.virol.2005.10.034.

    Article  PubMed  CAS  Google Scholar 

  205. Lerner AM, Beqaj S. A paradigm linking herpesvirus immediate-early gene expression apoptosis and myalgic encephalomyelitis chronic fatigue syndrome. Virus Adapt Treat. 2011;3(1):19–24. https://doi.org/10.2147/VAAT.S15105.

    Article  Google Scholar 

  206. Baumforth KRN, Birgersdotter A, Reynolds GM, Wei W, Kapatai G, Flavell JR, et al. Expression of the Epstein–Barr virus-encoded Epstein–Barr virus nuclear antigen 1 in Hodgkin’s lymphoma cells mediates up-regulation of CCL20 and the migration of regulatory T cells. Am J Pathol. 2008;173(1):195–204.

    PubMed  PubMed Central  CAS  Google Scholar 

  207. Li W, He C, Wu J, Yang D, Yi W. Epstein Barr virus encodes miRNAs to assist host immune escape. J Cancer. 2020;11(8):2091–100.

    PubMed  PubMed Central  CAS  Google Scholar 

  208. Burdin N, Péronne C, Banchereau J, Rousset F. Epstein–Barr virus transformation induces B lymphocytes to produce human interleukin 10. J Exp Med. 1993;177(2):295–304. https://doi.org/10.1084/jem.177.2.295.

    Article  PubMed  CAS  Google Scholar 

  209. Taneja V. Sex hormones determine immune response. Front Immunol. 2018;9:1931.

    PubMed  PubMed Central  Google Scholar 

  210. Athreya BH, Pletcher J, Zulian F, Weiner DB, Williams WV. Subset-specific effects of sex hormones and pituitary gonadotropins on human lymphocyte proliferation in vitro. Clin Immunol Immunopathol. 1993;66(3):201–11.

    PubMed  CAS  Google Scholar 

  211. Ngo ST, Steyn FJ, McCombe PA. Gender differences in autoimmune disease. Front Neuroendocrinol. 2014;35(3):347–69. https://doi.org/10.1016/j.yfrne.2014.04.004.

    Article  PubMed  CAS  Google Scholar 

  212. Toussirot E, Roudier J. Pathophysiological links between rheumatoid arthritis and the Epstein–Barr virus: an update. Jt Bone Spine. 2007;74(5):418–26. https://doi.org/10.1016/j.jbspin.2007.05.001.

    Article  CAS  Google Scholar 

  213. Yazbek MA, de Barros-Mazon S, Rossi CL, Londe AC, Costallat LTL, Bértolo MB. Association analysis of anti-Epstein–Barr nuclear antigen-1 antibodies, anti-cyclic citrullinated peptide antibodies, the shared epitope and smoking status in Brazilian patients with rheumatoid arthritis. Clinics. 2011;66(8):1401–6. https://doi.org/10.1590/s1807-59322011000800016.

    Article  PubMed  PubMed Central  Google Scholar 

  214. You L, Jin S, Zhu L, Qian W. Autophagy, autophagy-associated adaptive immune responses and its role in hematologic malignancies. Oncotarget. 2017;8(7):12374–88. https://doi.org/10.18632/oncotarget.13583.

    Article  PubMed  Google Scholar 

  215. Trier NH, Holm BE, Heiden J, Slot O, Locht H, Lindegaard H, et al. Antibodies to a strain-specific citrullinated Epstein–Barr virus peptide diagnoses rheumatoid arthritis. Sci Rep. 2018;8(1):3684. https://doi.org/10.1038/s41598-018-22058-6.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  216. Oertelt-Prigione S. Immunology and the menstrual cycle. Autoimmun Rev. 2012;11(6–7):A486–92.

    PubMed  CAS  Google Scholar 

  217. Ashwini Rani S, Suragimath G, Rajmane V, Rajmane Y. Prevalence of recurrent herpes labialis in western Maharashtra. J Oral Maxillofac Pathol. 2021;25(1):51.

    PubMed  PubMed Central  CAS  Google Scholar 

  218. Menegatti J, Schub D, Schäfer M, Grässer FA, Ruprecht K. HLA-DRB1*15:01 is a co-receptor for Epstein–Barr virus, linking genetic and environmental risk factors for multiple sclerosis. Eur J Immunol. 2021;51(9):2348–50. https://doi.org/10.1002/eji.202149179.

    Article  PubMed  CAS  Google Scholar 

  219. McShane MP, Mullen MM, Haan KM, Jardetzky TS, Longnecker R. Mutational analysis of the HLA class II interaction with Epstein–Barr virus glycoprotein 42. J Virol. 2003;77(13):7655–62. https://doi.org/10.1128/jvi.77.13.7655-7662.2003.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  220. Mullen MM, Haan KM, Longnecker R, Jardetzky TS. Structure of the Epstein–Barr virus gp42 protein bound to the MHC class II receptor HLA-DR1. Mol Cell. 2002;9(2):375–85. https://doi.org/10.1016/s1097-2765(02)00465-3.

    Article  PubMed  CAS  Google Scholar 

  221. Haan KM, Longnecker R. Coreceptor restriction within the HLA-DQ locus for Epstein–Barr virus infection. Proc Natl Acad Sci USA. 2000;97(16):9252–7. https://doi.org/10.1073/pnas.160171697.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  222. Lünemann JD, Jelčić I, Roberts S, Lutterotti A, Tackenberg B, Martin R, et al. EBNA1-specific T cells from patients with multiple sclerosis cross react with myelin antigens and co-produce IFN-γ and IL-2. J Exp Med. 2008;205(8):1763–73. https://doi.org/10.1084/jem.20072397.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  223. Yadav P, Tran H, Ebegbe R, Gottlieb P, Wei H, Lewis RH, et al. Antibodies elicited in response to EBNA-1 may cross- react with dsDNA. PLoS ONE. 2011;6(1): e14488. https://doi.org/10.1371/journal.pone.0014488.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  224. Poole BD, Scofield RH, Harley JB, James JA. Epstein–Barr virus and molecular mimicry in systemic lupus erythematosus. Autoimmunity. 2006;39(1):63–70. https://doi.org/10.1080/08916930500484849.

    Article  PubMed  CAS  Google Scholar 

  225. Poole BD, Gross T, Maier S, Harley JB, James JA. Lupus-like autoantibody development in rabbits and mice after immunization with EBNA-1 fragments. J Autoimmun. 2008;31(4):362–71. https://doi.org/10.1016/j.jaut.2008.08.007.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  226. Bray PF, Luka J, Bray PF, Culp KW, Schlight JP. Antibodies against Epstein–Barr nuclear antigen (EBNA) in multiple sclerosis CSF and two pentapepfide seauence identities between EBNA and myelin basic protein. Neurology. 1992;42(9):1798–804. https://doi.org/10.1212/wnl.42.9.1798.

    Article  PubMed  CAS  Google Scholar 

  227. Kahan SM, Wherry EJ, Zajac AJ. T cell exhaustion during persistent viral infections. Virology. 2015;479–480:180–93. https://doi.org/10.1016/j.virol.2014.12.033.

    Article  PubMed  CAS  Google Scholar 

  228. Visvabharathy L, Hanson B, Orban Z, Lim PH, Palacio NM, Jain R, et al. Neuro-COVID long-haulers exhibit broad dysfunction in T cell memory generation and responses to vaccination. medRxiv. 2021. https://doi.org/10.1101/2021.08.08.21261763.

    Article  Google Scholar 

  229. Sakuishi K, Apetoh L, Sullivan JM, Blazar BR, Kuchroo VK, Anderson AC. Targeting Tim-3 and PD-1 pathways to reverse T cell exhaustion and restore anti-tumor immunity. J Exp Med. 2010;207(10):2187.

    PubMed  PubMed Central  CAS  Google Scholar 

  230. Zajac AJ, Blattman JN, Murali-Krishna K, Sourdive DJD, Suresh M, Altman JD, et al. Viral immune evasion due to persistence of activated T cells without effector function. J Exp Med. 1998;188(12):2205.

    PubMed  PubMed Central  CAS  Google Scholar 

  231. Li Z, Duan Y, Cheng S, Chen Y, Hu Y, Zhang L, et al. EBV-encoded RNA via TLR3 induces inflammation in nasopharyngeal carcinoma. Oncotarget. 2015;6(27):24291.

    PubMed  PubMed Central  Google Scholar 

  232. Park GB, Hur DY, Kim YS, Lee HK, Yang JW, Kim D. TLR3/TRIF signalling pathway regulates IL-32 and IFN-β secretion through activation of RIP-1 and TRAF in the human cornea. J Cell Mol Med. 2015;19(5):1042.

    PubMed  PubMed Central  CAS  Google Scholar 

  233. Martorelli D, Muraro E, Merlo A, Turrini R, Faè DA, Rosato A, et al. Exploiting the interplay between innate and adaptive immunity to improve immunotherapeutic strategies for Epstein–Barr-virus-driven disorders. Clin Dev Immunol. 2012. https://doi.org/10.1155/2012/931952.

    Article  PubMed  PubMed Central  Google Scholar 

  234. Lai K-Y, Chou Y-C, Lin J-H, Liu Y, Lin K-M, Doong S-L, et al. Maintenance of Epstein–Barr virus latent status by a novel mechanism, latent membrane protein 1-induced interleukin-32, via the protein kinase Cδ pathway. J Virol. 2015;89(11):5968.

    PubMed  PubMed Central  CAS  Google Scholar 

  235. Yokoi T, Miyawaki T, Yachie A, Kato K, Kasahara Y, Taniguchi N. Epstein–Barr virus-immortalized B cells produce IL-6 as an autocrine growth factor. Immunology. 1990;70(1):100.

    PubMed  PubMed Central  CAS  Google Scholar 

  236. Borghetti P, Saleri R, Mocchegiani E, Corradi A, Martelli P. Infection, immunity and the neuroendocrine response. Vet Immunol Immunopathol. 2009;130(3):141.

    PubMed  PubMed Central  CAS  Google Scholar 

  237. Muraro E, Merlo A, Martorelli D, Cangemi M, Santa SD, Dolcetti R, et al. Fighting viral infections and virus-driven tumors with cytotoxic CD4+ T cells. Front Immunol. 2017;8(FEB):197. https://doi.org/10.3389/fimmu.2017.00197.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  238. Kumar A, Perdomo MF, Kantele A, Hedman L, Hedman K, Franssila R. Granzyme B mediated function of Parvovirus B19-specific CD4+ T cells. Clin Transl Immunol. 2015;4(7):e39. https://doi.org/10.1038/cti.2015.13.

    Article  CAS  Google Scholar 

  239. Walton S, Mandaric S, Oxenius A. CD4 T cell responses in latent and chronic viral infections. Front Immunol. 2013;4(MAY):105.

    PubMed  PubMed Central  Google Scholar 

  240. Ribeiro FM, Gomez VE, Albuquerque EMN, Klumb EM, Shoenfeld Y. Lupus and leprosy: beyond the coincidence. Immunol Res. 2014;61(1–2):160–3. https://doi.org/10.1007/s12026-014-8596-y.

    Article  CAS  Google Scholar 

  241. Konstantinov KN, Emil SN, Barry M, Kellie S, Tzamaloukas AH. Glomerular disease in patients with infectious processes developing antineutrophil cytoplasmic antibodies. ISRN Nephrol. 2013;2013:1–18.

    Google Scholar 

  242. Hermann J, Demel U, Stünzner D, Daghofer E, Tilz G, Graninger W. Clinical interpretation of antineutrophil cytoplasmic antibodies: parvovirus B19 infection as a pitfall. Ann Rheum Dis. 2005;64(4):641–3.

    PubMed  CAS  Google Scholar 

  243. Xu P, Lin S, Wei L, Shang W. Antineutrophil cytoplasmic antibody-associated vasculitis associated with Epstein–Barr virus infection: a case report and review of the literature. Infection. 2014;42(3):591–4.

    PubMed  CAS  Google Scholar 

  244. Noonan TP, Konstantinov KN, Echevarria L. Epstein–Barr virus reactivation induced myeloperoxidase-specific antineutrophil cytoplasmic antibody (MPO-ANCA)-associated vasculitis. BMJ Case Rep CP. 2021;14(10): e245059.

    Google Scholar 

  245. Mayet WJ, Hermann E, Kiefer B, Lehmann H, Manns M, Büschenfelde KHMZ. In vitro production of anti-neutrophilocyte-cytoplasm-antibodies (Anca) by Epstein–Barr virus-transformed b-cell lines in Wegener’s granulomatosis. Autoimmunity. 2009;11(1):13–9. https://doi.org/10.3109/08916939108994703.

    Article  Google Scholar 

  246. Ariza ME, Cox B, Martinez B, Mena-Palomo I, Zarate GJ, Williams MV. Viral dUTPases: modulators of innate immunity. Biomolecules. 2022;12(2):227.

    PubMed  PubMed Central  CAS  Google Scholar 

  247. Šestan M, Marinović S, Kavazović I, Cekinović Đ, Wueest S, Turk Wensveen T, et al. Virus-induced interferon-γ causes insulin resistance in skeletal muscle and derails glycemic control in obesity. Immunity. 2018;49(1):164-177.e6.

    PubMed  Google Scholar 

  248. Kiernan K, MacIver NJ. Viral infection “interferes” with glucose tolerance. Immunity. 2018;49(1):6–8.

    PubMed  CAS  Google Scholar 

  249. Šestan M, Benić A, Mikasinović S, Konrad D, Wueest S, Turk Wensveen T, et al. Type 2 diabetes impairs antiviral immunity by preventing the induction of fasting metabolism. Diabetes Technol Ther. 2022;11:A46. https://doi.org/10.1177/2164957X221096590.

    Article  Google Scholar 

  250. Piccaluga PP, Weber A, Ambrosio MR, Ahmed Y, Leoncini L. Epstein–Barr virus-induced metabolic rearrangements in human B-cell lymphomas. Front Microbiol. 2018;9(JUN):1233.

    PubMed  PubMed Central  Google Scholar 

  251. Mahdi M, Almehman B, Nassan S, Binyahib S. Pancreatic insulinoma causing hypoglycemic episodes. J Pediatr Surg Case Rep. 2020;57: 101466.

    Google Scholar 

  252. Gandhi K. Approach to hypoglycemia in infants and children. Transl Pediatr. 2017;6(4):408.

    PubMed  PubMed Central  Google Scholar 

  253. Davis MR, Shamoon H. Deficient counterregulatory hormone responses during hypoglycemia in a patient with insulinoma. J Clin Endocrinol Metab. 1991;72(4):788–92.

    PubMed  CAS  Google Scholar 

  254. Hong S, Zhou W, Fang B, Lu W, Loro E, Damle M, et al. Dissociation of muscle insulin sensitivity from exercise endurance in mice by HDAC3. Nat Med. 2017;23(2):223.

    PubMed  CAS  Google Scholar 

  255. Nesti L, Pugliese NR, Sciuto P, Natali A. Type 2 diabetes and reduced exercise tolerance: a review of the literature through an integrated physiology approach. Cardiovasc Diabetol. 2020;19(1):1–17. https://doi.org/10.1186/s12933-020-01109-1.

    Article  CAS  Google Scholar 

  256. Jones K, Rivera C, Sgadari C, Franklin J, Max EE, Bhatia K, et al. Infection of human endothelial cells with Epstein–Barr virus. J Exp Med. 1995;182(5):1213.

    PubMed  CAS  Google Scholar 

  257. Merz KE, Thurmond DC. Role of skeletal muscle in insulin resistance and glucose uptake. Compr Physiol. 2020;10(3):785.

    PubMed  PubMed Central  Google Scholar 

  258. Cortes-Canteli M, Paul J, Norris EH, Bronstein R, Ahn HJ, Zamolodchikov D, et al. Fibrinogen and β-amyloid association alters thrombosis and fibrinolysis: a possible contributing factor to Alzheimer’s disease. Neuron. 2010;66(5):695.

    PubMed  PubMed Central  CAS  Google Scholar 

  259. Michaelides M, Stover NB, Francis PJ, Weleber RG. Retinal toxicity associated with hydroxychloroquine and chloroquine: risk factors, screening, and progression despite cessation of therapy. Arch Ophthalmol. 2011;129(1):30–9.

    PubMed  CAS  Google Scholar 

  260. Jadeja RN, Martin PM. Oxidative stress and inflammation in retinal degeneration. Antioxidants. 2021;10(5):790.

    PubMed  PubMed Central  CAS  Google Scholar 

  261. Bornstein SR, Engeland WC, Ehrhart-Bornstein M, Herman JP. Dissociation of ACTH and glucocorticoids. Trends Endocrinol Metab. 2008;19(5):175–80.

    PubMed  CAS  Google Scholar 

  262. Reincke M, Heppner C, Petzke F, Allolio B, Arlt W, Mbulamberi D, et al. Impairment of adrenocortical function associated with increased plasma tumor necrosis factor-alpha and interleukin-6 concentrations in African trypanosomiasis. NeuroImmunoModulation. 1994;1(1):14–22.

    PubMed  CAS  Google Scholar 

  263. Roque S, Correia-Neves M, Mesquita AR, Palha JA, Sousa N. Interleukin-10: a key cytokine in depression? Cardiovasc Psychiatry Neurol. 2009;2009:1–5.

    Google Scholar 

  264. Xu J, Ahmad A, Jones JF, Dolcetti R, Vaccher E, Prasad U, et al. elevated serum transforming growth factor β1 levels in Epstein–Barr virus-associated diseases and their correlation with virus-specific immunoglobulin A (IgA) and IgM. J Virol. 2000;74(5):2443.

    PubMed  PubMed Central  CAS  Google Scholar 

  265. Dunne PJ, Rowan AG, Fletcher JM, Mills KHG. IL-10 and TGF-β-producing regulatory T cells in infection. In: Regulatory T cells and clinical application. New York: Springer; 2008. p. 423–53. https://doi.org/10.1007/978-0-387-77909-6_23.

    Chapter  Google Scholar 

  266. Nassoro DD, Mkhoi ML, Sabi I, Meremo AJ, Lawala PS, Mwakyula IH. Adrenal insufficiency: a forgotten diagnosis in HIV/AIDS patients in developing countries. Int J Endocrinol. 2019. https://doi.org/10.1155/2019/2342857.

    Article  PubMed  PubMed Central  Google Scholar 

  267. Ehrchen JM, Roth J, Barczyk-Kahlert K. More than suppression: glucocorticoid action on monocytes and macrophages. Front Immunol. 2019;10(AUG):2028.

    PubMed  PubMed Central  CAS  Google Scholar 

  268. Chong ACN, Vogt MC, Hill AS, Brüning JC, Zeltser LM. Central insulin signaling modulates hypothalamus–pituitary–adrenal axis responsiveness. Mol Metab. 2015;4(2):83.

    PubMed  CAS  Google Scholar 

  269. Hussain K, Hindmarsh P, Aynsley-Green A. Neonates with symptomatic hyperinsulinemic hypoglycemia generate inappropriately low serum cortisol counterregulatory hormonal responses. J Clin Endocrinol Metab. 2003;88(9):4342–7.

    PubMed  CAS  Google Scholar 

  270. Ahmed S, Soliman A, De Sanctis V, Alyafie F, Alaaraj N, Hamed N, et al. Defective cortisol secretion in response to spontaneous hypoglycemia but normal cortisol response to ACTH stimulation in neonates with hyperinsulinemic hypoglycemia (HH). Acta Bio Medica Atenei Parm. 2021;92(2):2021182.

    Google Scholar 

  271. Layunta E, Buey B, Mesonero JE, Latorre E. Crosstalk between intestinal serotonergic system and pattern recognition receptors on the microbiota–gut–brain axis. Front Endocrinol. 2021;12:1379.

    Google Scholar 

  272. Mendoza C, Matheus N, Latorre E, Castro M, Mesonero JE, Alcalde AI. Toll-like receptor 3 activation affects serotonin transporter activity and expression in human enterocyte-like Caco-2 cells. Cell Physiol Biochem. 2012;30(1):187–98.

    PubMed  CAS  Google Scholar 

  273. Iwakiri D, Zhou L, Samanta M, Matsumoto M, Ebihara T, Seya T, et al. Epstein–Barr virus (EBV)–encoded small RNA is released from EBV-infected cells and activates signaling from toll-like receptor 3. J Exp Med. 2009;206(10):2091–9. https://doi.org/10.1084/jem.20081761.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  274. Latorre E, Layunta E, Grasa L, Castro M, Pardo J, Gomólln F, et al. Intestinal serotonin transporter inhibition by toll-like receptor 2 activation. A feedback modulation. PLoS ONE. 2016;11(12): e0169303.

    PubMed  PubMed Central  Google Scholar 

  275. Schwörer H, Ramadori G. Autoreceptors can modulate 5-hydroxytryptamine release from porcine and human small intestine in vitro. Naunyn-Schmiedeberg’s Arch Pharmacol. 1998;357(5):548–52. https://doi.org/10.1007/PL00005206.

    Article  Google Scholar 

  276. Terry N, Margolis KG. Serotonergic mechanisms regulating the GI tract: experimental evidence and therapeutic relevance. Handb Exp Pharmacol. 2017;239:319.

    PubMed  PubMed Central  CAS  Google Scholar 

  277. Ormsbee HS, Fondacaro JD. Action of serotonin on the gastrointestinal tract. Proc Soc Exp Biol Med. 1985;178(3):333–8.

    PubMed  CAS  Google Scholar 

  278. Browning KN. Role of central vagal 5-HT3 receptors in gastrointestinal physiology and pathophysiology. Front Neurosci. 2015;9(OCT):413.

    PubMed  PubMed Central  Google Scholar 

  279. Ebermeyer T, Cognasse F, Berthelot P, Mismetti P, Garraud O, Hamzeh-cognasse H. Platelet innate immune receptors and TLRs: a double-edged sword. Int J Mol Sci. 2021;22(15):7894.

    PubMed  PubMed Central  CAS  Google Scholar 

  280. Foley S, Garsed K, Singh G, Duroudier NP, Swan C, Hall IP, et al. Impaired uptake of serotonin by platelets from patients with irritable bowel syndrome correlates with duodenal immune activation. Gastroenterology. 2011;140(5):1434–43.

    PubMed  CAS  Google Scholar 

  281. Mercado CP, Kilic F. Molecular mechanisms of SERT in platelets: regulation of plasma serotonin levels. Mol Interv. 2010;10(4):231.

    PubMed  PubMed Central  CAS  Google Scholar 

  282. Kim K, Oh CM, Ohara-Imaizumi M, Park S, Namkung J, Yadav VK, et al. Functional role of serotonin in insulin secretion in a diet-induced insulin-resistant state. Endocrinology. 2015;156(2):444.

    PubMed  Google Scholar 

  283. Almaça J, Molina J, Menegaz D, Pronin AN, Tamayo A, Slepak V, et al. Human beta cells produce and release serotonin to inhibit glucagon secretion from alpha cells. Cell Rep. 2016;17(12):3281–91.

    PubMed  PubMed Central  Google Scholar 

  284. Oh CM, Park S, Kim H. Serotonin as a new therapeutic target for diabetes mellitus and obesity. Diabetes Metab J. 2016;40(2):89.

    PubMed  PubMed Central  Google Scholar 

  285. Noda M, Ifuku M, Hossain MS, Katafuchi T. Glial activation and expression of the serotonin transporter in chronic fatigue syndrome. Front Psychiatry. 2018;9:589.

    PubMed  PubMed Central  Google Scholar 

  286. Katafuchi T, Kondo T, Take S, Yoshimura M. Brain cytokines and the 5-HT system during poly I:C-induced fatigue. Ann N Y Acad Sci. 2006;1088(1):230–7. https://doi.org/10.1196/annals.1366.020.

    Article  PubMed  CAS  Google Scholar 

  287. Malynn S, Campos-Torres A, Moynagh P, Haase J. The pro-inflammatory cytokine TNF-α regulates the activity and expression of the serotonin transporter (SERT) in astrocytes. Neurochem Res. 2013;38(4):694–704. https://doi.org/10.1007/s11064-012-0967-y.

    Article  PubMed  CAS  Google Scholar 

  288. Korte-Bouws GAH, van Heesch F, Westphal KGC, Ankersmit LMJ, van Oosten EM, Güntürkün O, et al. Bacterial lipopolysaccharide increases serotonin metabolism in both medial prefrontal cortex and nucleus accumbens in male wild type rats, but not in serotonin transporter knockout rats. Pharmaceuticals. 2018;11(3):66.

    PubMed  PubMed Central  CAS  Google Scholar 

  289. Ping F, Shang J, Zhou J, Zhang H, Zhang L. 5-HT1A receptor and apoptosis contribute to interferon-α-induced “depressive-like” behavior in mice. Neurosci Lett. 2012;514(2):173–8.

    PubMed  CAS  Google Scholar 

  290. Lv J, Liu F. The role of serotonin beyond the central nervous system during embryogenesis. Front Cell Neurosci. 2017;11:74.

    PubMed  PubMed Central  Google Scholar 

  291. Lesch KP, Sohnle K, Poten B, Schoellnhammer G, Rupprecht R, Schulte HM. Corticotropin and cortisol secretion after central 5-hydroxytryptamine-1A (5-HT1A) receptor activation: effects of 5-HT receptor and β-adrenoceptor antagonists. J Clin Endocrinol Metab. 1990;70(3):670–4.

    PubMed  CAS  Google Scholar 

  292. Wang F, Graham WV, Wang Y, Witkowski ED, Schwarz BT, Turner JR. Interferon-γ and tumor necrosis factor-α synergize to induce intestinal epithelial barrier dysfunction by up-regulating myosin light chain kinase expression. Am J Pathol. 2005;166(2):409.

    PubMed  PubMed Central  CAS  Google Scholar 

  293. Sharma L, Riva A. Intestinal barrier function in health and disease—any role of SARS-CoV-2? Microorganisms. 2020;8(11):1744.

    PubMed  PubMed Central  CAS  Google Scholar 

  294. Dukowicz AC, Lacy BE, Levine GM. Small intestinal bacterial overgrowth: a comprehensive review. Gastroenterol Hepatol. 2007;3(2):112.

    Google Scholar 

  295. Raithel M, Weidenhiller M, Hagel AFK, Hetterich U, Neurath MF, Konturek PC. The malabsorption of commonly occurring mono and disaccharides: levels of investigation and differential diagnoses. Dtsch Arztebl Int. 2013;110(46):775.

    PubMed  PubMed Central  Google Scholar 

  296. Boga JA, Coto-Montes A, Rosales-Corral SA, Tan DX, Reiter RJ. Beneficial actions of melatonin in the management of viral infections: a new use for this “molecular handyman”? Rev Med Virol. 2012;22(5):323.

    PubMed  PubMed Central  CAS  Google Scholar 

  297. Foo J, Bellot G, Pervaiz S, Alonso S. Mitochondria-mediated oxidative stress during viral infection. Trends Microbiol. 2022;30(7):679–92.

    PubMed  CAS  Google Scholar 

  298. Arfin S, Jha NK, Jha SK, Kesari KK, Ruokolainen J, Roychoudhury S, et al. Oxidative stress in cancer cell metabolism. Antioxidants. 2021;10(5):642.

    PubMed  PubMed Central  CAS  Google Scholar 

  299. Kgatle MM, Spearman CW, Kalla AA, Hairwadzi HN. DNA oncogenic virus-induced oxidative stress, genomic damage, and aberrant epigenetic alterations. Oxid Med Cell Longev. 2017. https://doi.org/10.1155/2017/3179421.

    Article  PubMed  PubMed Central  Google Scholar 

  300. Hu J, Li Y, Li H, Shi F, Xie L, Zhao L, et al. Targeting Epstein–Barr virus oncoprotein LMP1-mediated high oxidative stress suppresses EBV lytic reactivation and sensitizes tumors to radiation therapy. Theranostics. 2020;10(26):11921.

    PubMed  PubMed Central  CAS  Google Scholar 

  301. Strycharz-Dudziak M, Kiełczykowska M, Drop B, Świątek Ł, Kliszczewska E, Musik I, et al. Total antioxidant status (TAS), superoxide dismutase (SOD), and glutathione peroxidase (GPx) in oropharyngeal cancer associated with EBV infection. Oxid Med Cell Longev. 2019. https://doi.org/10.1155/2019/5832410.

    Article  PubMed  PubMed Central  Google Scholar 

  302. Wang J, Nagy N, Masucci MG. The Epstein–Barr virus nuclear antigen-1 upregulates the cellular antioxidant defense to enable B-cell growth transformation and immortalization. Oncogene. 2020;39(3):603.

    PubMed  Google Scholar 

  303. Morii T, Ohno Y, Hirose H, Kawabe H, Ogata T, Hirao K, et al. Cellular insulin resistance in Epstein–Barr virus-transformed lymphoblasts from young insulin-resistant Japanese men. Metabolism. 2005;54(3):370–5.

    PubMed  CAS  Google Scholar 

  304. De Figueiredo ASP, Salmon AB, Bruno F, Jimenez F, Martinez HG, Halade GV, et al. Nox2 mediates skeletal muscle insulin resistance induced by a high fat diet. J Biol Chem. 2015;290(21):13427.

    Google Scholar 

  305. Bello-Morales R, Andreu S, Ripa I, López-Guerrero JA. HSV-1 and endogenous retroviruses as risk factors in demyelination. Int J Mol Sci. 2021;22(11):5738.

    PubMed  PubMed Central  CAS  Google Scholar 

  306. Sutkowski N, Conrad B, Thorley-Lawson DA, Huber BT. Epstein–Barr virus transactivates the human endogenous retrovirus HERV-K18 that encodes a superantigen. Immunity. 2001;15(4):579–89.

    PubMed  CAS  Google Scholar 

  307. Hamdy A, Leonardi A. Superantigens and SARS-CoV-2. Pathogens. 2022;11(4):390.

    PubMed  PubMed Central  CAS  Google Scholar 

  308. Biswas I, Khan GA. Coagulation disorders in COVID-19: role of toll-like receptors. J Inflamm Res. 2020;13:823.

    PubMed  PubMed Central  CAS  Google Scholar 

  309. Anabel AS, Eduardo PC, Pedro Antonio HC, Carlos SM, Juana NM, Honorio TA, et al. Human platelets express toll-like receptor 3 and respond to poly I:C. Hum Immunol. 2014;75(12):1244–51.

    PubMed  CAS  Google Scholar 

  310. Kucheryavykh LY, Dávila-Rodríguez J, Rivera-Aponte DE, Zueva LV, Washington AV, Sanabria P, et al. Platelets are responsible for the accumulation of β-amyloid in blood clots inside and around blood vessels in mouse brain after thrombosis. Brain Res Bull. 2017;128:98.

    PubMed  CAS  Google Scholar 

  311. Ahn HJ, Zamolodchikov D, Cortes-Canteli M, Norris EH, Glickman JF, Strickland S. Alzheimer’s disease peptide β-amyloid interacts with fibrinogen and induces its oligomerization. Proc Natl Acad Sci USA. 2010;107(50):21812–7.

    PubMed  PubMed Central  CAS  Google Scholar 

  312. Eimer WA, Vijaya Kumar DK, Navalpur Shanmugam NK, Rodriguez AS, Mitchell T, Washicosky KJ, et al. Alzheimer’s disease-associated β-amyloid is rapidly seeded by herpesviridae to protect against brain infection. Neuron. 2018;99(1):56.

    PubMed  PubMed Central  CAS  Google Scholar 

  313. Bortolotti D, Gentili V, Rotola A, Caselli E, Rizzo R. HHV-6A infection induces amyloid-beta expression and activation of microglial cells. Alzheimers Res Ther. 2019;11(1):1–11.

    Google Scholar 

  314. Kuret T, Lakota K, Mali P, Čučnik S, Praprotnik S, Tomšič M, et al. Naturally occurring antibodies against serum amyloid A reduce IL-6 release from peripheral blood mononuclear cells. PLoS ONE. 2018;13(4): e0195346. https://doi.org/10.1371/journal.pone.0195346.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  315. Page MJ, Thomson GJA, Nunes JM, Engelbrecht AM, Nell TA, de Villiers WJS, et al. Serum amyloid A binds to fibrin(ogen), promoting fibrin amyloid formation. Sci Rep. 2019;9(1):1–14.

    Google Scholar 

  316. Violi F, Oliva A, Cangemi R, Ceccarelli G, Pignatelli P, Carnevale R, et al. Nox2 activation in Covid-19. Redox Biol. 2020;36: 101655.

    PubMed  PubMed Central  CAS  Google Scholar 

  317. Yang C-S, Kim J-J, Lee SJ, Hwang JH, Lee C-H, Lee M-S, et al. TLR3-triggered reactive oxygen species contribute to inflammatory responses by activating signal transducer and activator of transcription-1. J Immunol. 2013;190(12):6368–77.

    PubMed  CAS  Google Scholar 

  318. Anderson G. Linking the biological underpinnings of depression: role of mitochondria interactions with melatonin, inflammation, sirtuins, tryptophan catabolites, DNA repair and oxidative and nitrosative stress, with consequences for classification and cognition. Prog Neuro-Psychopharmacol Biol Psychiatry. 2018;80:255–66.

    CAS  Google Scholar 

  319. Tuomi T, Nagorny CLF, Singh P, Bennet H, Yu Q, Alenkvist I, et al. Increased melatonin signaling is a risk factor for type 2 diabetes. Cell Metab. 2016;23(6):1067–77.

    PubMed  CAS  Google Scholar 

  320. Mehraj V, Routy J-P. Tryptophan catabolism in chronic viral infections: handling uninvited guests. Int J Tryptophan Res. 2015;8:41.

    PubMed  PubMed Central  CAS  Google Scholar 

  321. Adams O, Besken K, Oberdörfer C, MacKenzie CR, Rüßing D, Däubener W. Inhibition of human herpes simplex virus type 2 by interferon gamma and tumor necrosis factor alpha is mediated by indoleamine 2,3-dioxygenase. Microbes Infect. 2004;6(9):806–12.

    PubMed  CAS  Google Scholar 

  322. Burassakarn A, Srisathaporn S, Pientong C, Wongjampa W, Vatanasapt P, Patarapadungkit N, et al. Exosomes-carrying Epstein–Barr virus-encoded small RNA-1 induces indoleamine 2, 3-dioxygenase expression in tumor-infiltrating macrophages of oral squamous-cell carcinomas and suppresses T-cell activity by activating RIG-I/IL-6/TNF-α pathway. Oral Oncol. 2021;117: 105279.

    PubMed  CAS  Google Scholar 

  323. Wu H, Gong J, Liu Y. Indoleamine 2, 3-dioxygenase regulation of immune response (review). Mol Med Rep. 2018;17(4):4867–73. https://doi.org/10.3892/mmr.2018.8537/abstract.

    Article  PubMed  CAS  Google Scholar 

  324. Mezrich JD, Fechner JH, Zhang X, Johnson BP, Burlingham WJ, Bradfield CA. An interaction between kynurenine and the aryl hydrocarbon receptor can generate regulatory T cells. J Immunol. 2010;185(6):3190.

    PubMed  CAS  Google Scholar 

  325. Krupa A, Kowalska I. The kynurenine pathway—new linkage between innate and adaptive immunity in autoimmune endocrinopathies. Int J Mol Sci. 2021;22(18):9879.

    PubMed  PubMed Central  CAS  Google Scholar 

  326. Song H, Park H, Kim J, Park G, Kim YS, Kim SM, et al. IDO metabolite produced by EBV-transformed B cells inhibits surface expression of NKG2D in NK cells via the c-Jun N-terminal kinase (JNK) pathway. Immunol Lett. 2011;136(2):187–93. https://doi.org/10.1016/j.imlet.2011.01.009.

    Article  PubMed  CAS  Google Scholar 

  327. Lin W, Shen P, Song Y, Huang Y, Tu S. Reactive oxygen species in autoimmune cells: function, differentiation, and metabolism. Front Immunol. 2021;12:488.

    Google Scholar 

  328. Wessels I, Maywald M, Rink L. Zinc as a gatekeeper of immune function. Nutrients. 2017;9(12):1286.

    PubMed  PubMed Central  Google Scholar 

  329. Dai H, Wang L, Li L, Huang Z, Ye L. Metallothionein 1: a new spotlight on inflammatory diseases. Front Immunol. 2021;12: 739918.

    PubMed  PubMed Central  CAS  Google Scholar 

  330. Lazarczyk M, Favre M. Role of Zn2+ ions in host–virus interactions. J Virol. 2008;82(23):11486.

    PubMed  PubMed Central  CAS  Google Scholar 

  331. Vignesh KS, Deepe GS. Metallothioneins: emerging modulators in immunity and infection. Int J Mol Sci. 2017;18(10):2197.

    Google Scholar 

  332. Ollig J, Kloubert V, Taylor KM, Rink L. B cell activation and proliferation increase intracellular zinc levels. J Nutr Biochem. 2019;64:72.

    PubMed  PubMed Central  CAS  Google Scholar 

  333. Kanekiyo M, Itoh N, Kawasaki A, Tanaka J, Nakanishi T, Tanaka K. Zinc-induced activation of the human cytomegalovirus major immediate-early promoter is mediated by metallothionein and nuclear factor-κB. Toxicol Appl Pharmacol. 2001;173(3):146–53.

    PubMed  CAS  Google Scholar 

  334. Aras S, Singh G, Johnston K, Foster T, Aiyar A. Zinc coordination is required for and regulates transcription activation by Epstein–Barr nuclear antigen 1. PLoS Pathog. 2009;5(6): e1000469.

    PubMed  PubMed Central  Google Scholar 

  335. Sun J, Li L, Li L, Ding L, Liu X, Chen X, et al. Metallothionein-1 suppresses rheumatoid arthritis pathogenesis by shifting the Th17/Treg balance. Eur J Immunol. 2018;48(9):1550–62. https://doi.org/10.1002/eji.201747151.

    Article  PubMed  CAS  Google Scholar 

  336. Yin X, Knecht DA, Lynes MA. Metallothionein mediates leukocyte chemotaxis. BMC Immunol. 2005;6:21.

    PubMed  PubMed Central  Google Scholar 

  337. Avan A, Członkowska A, Gaskin S, Granzotto A, Sensi SL, Hoogenraad TU. The role of zinc in the treatment of Wilson’s disease. Int J Mol Sci. 2022;23(16):9316.

    PubMed  PubMed Central  CAS  Google Scholar 

  338. Waeytens A, De Vos M, Laukens D. Evidence for a potential role of metallothioneins in inflammatory bowel diseases. Mediat Inflamm. 2009. https://doi.org/10.1155/2009/729172.

    Article  Google Scholar 

  339. Tatineni V, An JY, Leffew MR, Mahesh SA. Anemia from A to zinc: hypocupremia in the setting of gastric bypass and zinc excess. Clin Case Rep. 2020;8(4):745–50. https://doi.org/10.1002/ccr3.2741.

    Article  PubMed  PubMed Central  Google Scholar 

  340. Prohaska JR. Impact of copper limitation on expression and function of multicopper oxidases (ferroxidases). Adv Nutr. 2011;2(2):89.

    PubMed  PubMed Central  CAS  Google Scholar 

  341. Babak MV, Ahn D. Modulation of intracellular copper levels as the mechanism of action of anticancer copper complexes: clinical relevance. Biomedicines. 2021;9(8):852.

    PubMed  PubMed Central  CAS  Google Scholar 

  342. Di Bella LM, Alampi R, Biundo F, Toscano G, Felice MR. Copper chelation and interleukin-6 proinflammatory cytokine effects on expression of different proteins involved in iron metabolism in HepG2 cell line. BMC Biochem. 2017;18(1):1–11.

    PubMed  PubMed Central  Google Scholar 

  343. Bakhautdin B, Febbraio M, Goksoy E, De La Motte CA, Gulen MF, Childers EP, et al. Protective role of macrophage-derived ceruloplasmin in inflammatory bowel disease. Gut. 2013;62(2):209.

    PubMed  CAS  Google Scholar 

  344. Montes S, Rivera-Mancia S, Diaz-Ruiz A, Tristan-Lopez L, Rios C. Copper and copper proteins in Parkinson’s disease. Oxid Med Cell Longev. 2014. https://doi.org/10.1155/2014/147251.

    Article  PubMed  PubMed Central  Google Scholar 

  345. Patel BN, Dunn RJ, Jeong SY, Zhu Q, Julien JP, David S. Ceruloplasmin regulates iron levels in the CNS and prevents free radical injury. J Neurosci. 2002;22(15):6578.

    PubMed  PubMed Central  CAS  Google Scholar 

  346. Bagheri S, Saboury AA, Haertlé T, Rongioletti M, Saso L. Probable reasons for neuron copper deficiency in the brain of patients with Alzheimer’s disease: the complex role of amyloid. Inorganics. 2022;10(1):6.

    CAS  Google Scholar 

  347. Wang Y, Chen Y, Zhang X, Lu Y, Chen H. New insights in intestinal oxidative stress damage and the health intervention effects of nutrients: a review. J Funct Foods. 2020;75: 104248.

    CAS  Google Scholar 

  348. Kehoe CA, Faughnan MS, Gilmore WS, Coulter JS, Howard AN, Strain JJ. Plasma diamine oxidase activity is greater in copper-adequate than copper-marginal or copper-deficient rats. J Nutr. 2000;130(1):30–3.

    PubMed  CAS  Google Scholar 

  349. Legleiter LR, Spears JW. Plasma diamine oxidase: a biomarker of copper deficiency in the bovine. J Anim Sci. 2007;85(9):2198–204.

    PubMed  CAS  Google Scholar 

  350. Comas-Basté O, Sánchez-Pérez S, Veciana-Nogués MT, Latorre-Moratalla M, Vidal-Carou MDC. Histamine intolerance: the current state of the art. Biomolecules. 2020;10(8):1–26.

    Google Scholar 

  351. Bortolato M, Chen K, Shih JC. Monoamine oxidase inactivation: from pathophysiology to therapeutics. Adv Drug Deliv Rev. 2008;60(13–14):1527.

    PubMed  PubMed Central  CAS  Google Scholar 

  352. Yabut JM, Crane JD, Green AE, Keating DJ, Khan WI, Steinberg GR. Emerging roles for serotonin in regulating metabolism: new implications for an ancient molecule. Endocr Rev. 2019;40(4):1092.

    PubMed  PubMed Central  Google Scholar 

  353. Bala S, Lunney JK, Failla ML. Effects of copper deficiency on T-cell mitogenic responsiveness and phenotypic profile of blood mononuclear cells from swine. Am J Vet Res. 1992;53(7):1231–5.

    PubMed  CAS  Google Scholar 

  354. Liu Y, Zhu J, Xu L, Wang B, Lin W, Luo Y. Copper regulation of immune response and potential implications for treating orthopedic disorders. Front Mol Biosci. 2022;9:1311.

    Google Scholar 

  355. Członkowska A, Milewski B. Immunological observations on patients with Wilson’s disease. J Neurol Sci. 1976;29(2–4):411–21.

    PubMed  Google Scholar 

  356. Ganaraja B, Pavithran P, Ghosh S. Effect of estrogen on plasma ceruloplasmin level in rats exposed to acute stress. Indian J Med Sci. 2004;58(4):150–4.

    PubMed  CAS  Google Scholar 

  357. Nguyen T, Johnston S, Clarke L, Smith P, Staines D, Marshall-Gradisnik S. Impaired calcium mobilization in natural killer cells from chronic fatigue syndrome/myalgic encephalomyelitis patients is associated with transient receptor potential melastatin 3 ion channels. Clin Exp Immunol. 2017;187(2):284. https://doi.org/10.1111/cei.12882.

    Article  PubMed  CAS  Google Scholar 

  358. Mihaylova I, DeRuyter M, Rummens JL, Bosmans E, Maes M. Decreased expression of CD69 in chronic fatigue syndrome in relation to inflammatory markers: evidence for a severe disorder in the early activation of T lymphocytes and natural killer cells. Neuro Endocrinol Lett. 2007;28(4):477–83.

    PubMed  Google Scholar 

  359. Brenu EW, van Driel ML, Staines DR, Ashton KJ, Ramos SB, Keane J, et al. Immunological abnormalities as potential biomarkers in chronic fatigue syndrome/myalgic encephalomyelitis. J Transl Med. 2011;9(1):81. https://doi.org/10.1186/1479-5876-9-81.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  360. Van Eeden C, Osman MS, Willem J, Tervaert C, Cohen Tervaert JW. Fatigue in ANCA-associated vasculitis (AAV) and systemic sclerosis (SSc): similarities with myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS). Crit Rev Lit. 2022. https://doi.org/10.1080/1744666X.2022.2116002.

    Article  Google Scholar 

  361. Lee J-S, Lacerda EM, Nacul L, Kingdon CC, Norris J, O’Boyle S, et al. Salivary DNA loads for human herpesviruses 6 and 7 are correlated with disease phenotype in myalgic encephalomyelitis/chronic fatigue syndrome. Front Med. 2021. https://doi.org/10.3389/fmed.2021.656692.

    Article  Google Scholar 

  362. Frémont M, Metzger K, Rady HF, Hulstaert J, De MKD. Detection of herpesviruses and parvovirus B19 in gastric and intestinal mucosa of chronic fatigue syndrome patients. In Vivo. 2009;23(2):209–13.

    PubMed  Google Scholar 

  363. Rasa S, Chapenko S, Krumina A, Zazerska Z, Murovska M. Occurrence, phase and status of human parvovirus B19 infection in patients with myalgic encephalomyelitis/chronic fatigue syndrome. J Clin Virol. 2016;82:S141.

    Google Scholar 

  364. Carruthers BM, Jain AK, De Meirleir KL, Peterson DL, Klimas NG, Lemer AM, et al. Myalgic encephalomyelitis/chronic fatigue syndrome: clinical working case definition, diagnostic and treatment protocols. J Chronic Fatigue Syndr. 2003;11(1):7–115. https://doi.org/10.1300/J092v11n01_02.

    Article  Google Scholar 

  365. Strahler J, Fischer S, Nater UM, Ehlert U, Gaab J. Norepinephrine and epinephrine responses to physiological and pharmacological stimulation in chronic fatigue syndrome. Biol Psychol. 2013;94(1):160–6.

    PubMed  Google Scholar 

  366. Kavyani B, Lidbury BA, Schloeffel R, Fisher PR, Missailidis D, Annesley SJ, et al. Could the kynurenine pathway be the key missing piece of myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) complex puzzle? Cell Mol Life Sci. 2022;79(8):1–19. https://doi.org/10.1007/s00018-022-04380-5.

    Article  CAS  Google Scholar 

  367. Miller AH, Maletic V, Raison CL. Inflammation and its discontents: the role of cytokines in the pathophysiology of major depression. Biol Psychiatry. 2009;65(9):732.

    PubMed  PubMed Central  CAS  Google Scholar 

  368. Tavares RG, Tasca CI, Santos CES, Alves LB, Porciúncula LO, Emanuelli T, et al. Quinolinic acid stimulates synaptosomal glutamate release and inhibits glutamate uptake into astrocytes. Neurochem Int. 2002;40(7):621–7.

    PubMed  CAS  Google Scholar 

  369. Renz-Polster H, Tremblay ME, Bienzle D, Fischer JE. The pathobiology of myalgic encephalomyelitis/chronic fatigue syndrome: the case for neuroglial failure. Front Cell Neurosci. 2022;16:220.

    Google Scholar 

  370. Glassford JAG. The neuroinflammatory etiopathology of myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS). Front Physiol. 2017;8(2):88.

    PubMed  PubMed Central  Google Scholar 

  371. Kurup RK, Kurup PA. Isoprenoid pathway dysfunction in chronic fatigue syndrome. Acta Neuropsychiatr. 2003;15(5):266–73.

    PubMed  Google Scholar 

  372. Maes M, Mihaylova I, De Ruyter M. Lower serum zinc in chronic fatigue syndrome (CFS): relationships to immune dysfunctions and relevance for the oxidative stress status in CFS. J Affect Disord. 2006;90(2–3):141–7.

    PubMed  CAS  Google Scholar 

  373. Sasso EM, Muraki K, Eaton-Fitch N, Smith P, Lesslar OL, Deed G, et al. Transient receptor potential melastatin 3 dysfunction in post COVID-19 condition and myalgic encephalomyelitis/chronic fatigue syndrome patients. Mol Med. 2022;28(1):1–14. https://doi.org/10.1186/s10020-022-00528-y.

    Article  CAS  Google Scholar 

  374. Vigón L, Galán M, Mateos E, García-Pérez J, Torres M, Rodríguez-Mora S, et al. Impaired cytotoxic immune response and EBV reactivation in patients with long COVID19. Top Antivir Med. 2022;30:119–20.

    Google Scholar 

  375. Espín E, Yang C, Shannon CP, Assadian S, He D, Tebbutt SJ. Cellular and molecular biomarkers of long COVID: a scoping review. EBioMedicine. 2023;91: 104552.

    PubMed  PubMed Central  Google Scholar 

  376. Wiech M, Chroscicki P, Swatler J, Stepnik D, De Biasi S, Hampel M, et al. Remodeling of T cell dynamics during long COVID is dependent on severity of SARS-CoV-2 infection. Front Immunol. 2022;13: 886431.

    PubMed  PubMed Central  CAS  Google Scholar 

  377. Sukocheva OA, Maksoud R, Beeraka NM, Madhunapantula SRV, Sinelnikov M, Nikolenko VN, et al. Analysis of post COVID-19 condition and its overlap with myalgic encephalomyelitis/chronic fatigue syndrome. J Adv Res. 2022;40:179–96.

    PubMed  CAS  Google Scholar 

  378. Mehandru S, Merad M. Pathological sequelae of long-haul COVID. Nat Immunol. 2022;23(2):194–202.

    PubMed  PubMed Central  CAS  Google Scholar 

  379. Vollbracht C, Kraft K. Oxidative stress and hyper-inflammation as major drivers of severe COVID-19 and long COVID: implications for the benefit of high-dose intravenous vitamin C. Front Pharmacol. 2022;13:1.

    Google Scholar 

  380. Al-Hakeim HK, Al-Rubaye HT, Al-Hadrawi DS, Almulla AF, Maes M. Long-COVID post-viral chronic fatigue and affective symptoms are associated with oxidative damage, lowered antioxidant defenses and inflammation: a proof of concept and mechanism study. Mol Psychiatry. 2022;28(2):564–78.

    PubMed  PubMed Central  Google Scholar 

  381. Stufano A, Isgrò C, Palese LL, Caretta P, De Maria L, Lovreglio P, et al. Oxidative damage and post-COVID syndrome: a cross-sectional study in a cohort of italian workers. Int J Mol Sci. 2023;24(8):7445.

    PubMed  PubMed Central  Google Scholar 

  382. Matsuda Y, Tokumasu K, Otsuka Y, Sunada N, Honda H, Sakurada Y, et al. Symptomatic characteristics of hypozincemia detected in long COVID patients. J Clin Med. 2023;12(5):2062.

    PubMed  PubMed Central  CAS  Google Scholar 

  383. Sapkota HR, Nune A. Long COVID from rheumatology perspective—a narrative review. Clin Rheumatol. 2022;41(2):337.

    PubMed  Google Scholar 

  384. Morris D, Patel K, Rahimi O, Sanyurah O, Iardino A, Khan N. ANCA vasculitis: a manifestation of post-Covid-19 syndrome. Respir Med Case Rep. 2021;34: 101549.

    PubMed  PubMed Central  Google Scholar 

  385. Milic J, Barbieri S, Gozzi L, Brigo A, Beghé B, Verduri A, et al. Metabolic-associated fatty liver disease is highly prevalent in the postacute COVID syndrome. Open Forum Infect Dis. 2022. https://doi.org/10.1093/ofid/ofac003.

    Article  PubMed  PubMed Central  Google Scholar 

  386. Scherer PE, Kirwan JP, Rosen CJ. Post-acute sequelae of COVID-19: a metabolic perspective. Elife. 2022;11:78200.

    Google Scholar 

  387. Bizjak DA, Stangl M, Börner N, Bösch F, Durner J, Drunin G, et al. Kynurenine serves as useful biomarker in acute, long- and post-COVID-19 diagnostics. Front Immunol. 2022. https://doi.org/10.3389/fimmu.2022.1004545/full.

    Article  PubMed  PubMed Central  Google Scholar 

  388. Chen LC, Nersisyan S, Wu CJ, Chang CM, Tonevitsky A, Guo CL, et al. On the peptide binding affinity changes in population-specific HLA repertoires to the SARS-CoV-2 variants Delta and Omicron. J Autoimmun. 2022;133: 102952.

    PubMed  PubMed Central  CAS  Google Scholar 

  389. Pfeiffer C, Stein J, Southwood S, Ketelaar H, Sette A, Bottomly K. Altered peptide ligands can control CD4 T lymphocyte differentiation in vivo. J Exp Med. 1995;181(4):1569.

    PubMed  CAS  Google Scholar 

  390. Nersisyan S, Zhiyanov A, Zakharova M, Ishina I, Kurbatskaia I, Mamedov A, et al. Alterations in SARS-CoV-2 Omicron and Delta peptides presentation by HLA molecules. PeerJ. 2022;10: e13354.

    PubMed  PubMed Central  Google Scholar 

  391. Grifoni A, Weiskopf D, Ramirez SI, Mateus J, Dan JM, Moderbacher CR, et al. Targets of T cell responses to SARS-CoV-2 coronavirus in humans with COVID-19 disease and unexposed individuals. Cell. 2020;181(7):1489.

    PubMed  PubMed Central  CAS  Google Scholar 

  392. Duong D. The evolving picture of long COVID. Can Med Assoc J. 2022;194(24):E850.

    CAS  Google Scholar 

  393. Elenkov IJ. Glucocorticoids and the Th1/Th2 balance. Ann N Y Acad Sci. 2004;1024:138–46.

    PubMed  CAS  Google Scholar 

  394. Yang EV, WebsterMarketon JI, Chen M, Lo KW, Kim SJ, Glaser R. Glucocorticoids activate Epstein Barr virus lytic replication through the upregulation of immediate early BZLF1 gene expression. Brain Behav Immun. 2010;24(7):1089.

    PubMed  PubMed Central  CAS  Google Scholar 

  395. Celada P, Puig MV, Amargós-Bosch M, Adell A, Artigas F. The therapeutic role of 5-HT1A and 5-HT2A receptors in depression. J Psychiatry Neurosci. 2004;29(4):252.

    PubMed  PubMed Central  Google Scholar 

  396. Wan M, Ding L, Wang D, Han J, Gao P. Serotonin: a potent immune cell modulator in autoimmune diseases. Front Immunol. 2020;11:186.

    PubMed  PubMed Central  CAS  Google Scholar 

  397. Sukhatme VP, Reiersen AM, Vayttaden SJ, Sukhatme VV. Fluvoxamine: a review of its mechanism of action and its role in COVID-19. Front Pharmacol. 2021;12: 652688.

    PubMed  PubMed Central  CAS  Google Scholar 

  398. Rena G, Hardie DG, Pearson ER. The mechanisms of action of metformin. Diabetologia. 2017;60(9):1577.

    PubMed  PubMed Central  CAS  Google Scholar 

  399. Apostolova N, Iannantuoni F, Gruevska A, Muntane J, Rocha M, Victor VM. Mechanisms of action of metformin in type 2 diabetes: effects on mitochondria and leukocyte-endothelium interactions. Redox Biol. 2020;34: 101517.

    PubMed  PubMed Central  CAS  Google Scholar 

  400. Comhaire F, Deslypere JP. News and views in myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS): the role of co-morbidity and novel treatments. Med Hypotheses. 2020;134: 109444.

    PubMed  CAS  Google Scholar 

  401. Brown AE, Dibnah B, Fisher E, Newton JL, Walker M. Pharmacological activation of AMPK and glucose uptake in cultured human skeletal muscle cells from patients with ME/CFS. Biosci Rep. 2018;38(3):BSR20180242.

    PubMed  PubMed Central  CAS  Google Scholar 

  402. Wissler Gerdes EO, Vanichkachorn G, Verdoorn BP, Hanson GJ, Joshi AY, Murad MH, et al. Role of senescence in the chronic health consequences of COVID-19. Transl Res. 2022;241:96–108.

    PubMed  CAS  Google Scholar 

  403. Li YQ, Zhang ZX, Xu YJ, Ni W, Chen SX, Yang Z, et al. N-Acetyl-l-cysteine and pyrrolidine dithiocarbamate inhibited nuclear factor-kappaB activation in alveolar macrophages by different mechanisms. Acta Pharmacol Sin. 2006;27(3):339–46.

    PubMed  CAS  Google Scholar 

  404. Gao X, Lampraki EM, Al-Khalidi S, Qureshi MA, Desai R, Wilson JB. N-Acetylcysteine (NAC) ameliorates Epstein–Barr virus latent membrane protein 1 induced chronic inflammation. PLoS ONE. 2017;12(12): e0189167.

    PubMed  PubMed Central  Google Scholar 

  405. McQueen G, Lally J, Collier T, Zelaya F, Lythgoe DJ, Barker GJ, et al. Effects of N-acetylcysteine on brain glutamate levels and resting perfusion in schizophrenia. Psychopharmacology. 2018;235(10):3045.

    PubMed  PubMed Central  CAS  Google Scholar 

  406. Olechnowicz J, Tinkov A, Skalny A, Suliburska J. Zinc status is associated with inflammation, oxidative stress, lipid, and glucose metabolism. J Physiol Sci. 2018;68(1):19–31. https://doi.org/10.1007/s12576-017-0571-7.

    Article  PubMed  CAS  Google Scholar 

  407. Li X, Burton EM, Bhaduri-McIntosh S. Chloroquine triggers Epstein–Barr virus replication through phosphorylation of KAP1/TRIM28 in Burkitt lymphoma cells. PLoS Pathog. 2017;13(3): e1006249. https://doi.org/10.1371/journal.ppat.1006249.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  408. Doboszewska U, Wlaź P, Nowak G, Młyniec K. Targeting zinc metalloenzymes in coronavirus disease 2019. Br J Pharmacol. 2020;177(21):4887–98. https://doi.org/10.1111/bph.15199.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  409. Kim ML, Hardy MY, Edgington-Mitchell LE, Ramarathinam SH, Chung SZ, Russell AK, et al. Hydroxychloroquine inhibits the mitochondrial antioxidant system in activated T cells. iScience. 2021;24(12): 103509.

    PubMed  PubMed Central  CAS  Google Scholar 

  410. Gasmi A, Peana M, Noor S, Lysiuk R, Menzel A, Gasmi Benahmed A, et al. Chloroquine and hydroxychloroquine in the treatment of COVID-19: the never-ending story. Appl Microbiol Biotechnol. 2021;105(4):1333–43. https://doi.org/10.1007/s00253-021-11094-4.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  411. De Wolde SD, Hulskes RH, Weenink RP, Hollmann MW, Van Hulst RA. The effects of hyperbaric oxygenation on oxidative stress, inflammation and angiogenesis. Biomolecules. 2021;11(8):11.

    Google Scholar 

  412. Zilberman-Itskovich S, Catalogna M, Sasson E, Elman-Shina K, Hadanny A, Lang E, et al. Hyperbaric oxygen therapy improves neurocognitive functions and symptoms of post-COVID condition: randomized controlled trial. Sci Rep. 2022;12(1):1–10.

    Google Scholar 

  413. Tok F, Akarsu S. The efficacy of hyperbaric oxygen therapy in the management of chronic fatigue syndrome. Undersea Hyperb Med J. 2013;40(2):197–200.

    Google Scholar 

  414. Liu PJ, Balfe P, McKeating JA, Schilling M. Oxygen sensing and viral replication: implications for tropism and pathogenesis. Viruses. 2020;12(11):1213.

    PubMed  PubMed Central  Google Scholar 

  415. Jiang JH, Wang N, Li A, Liao WT, Pan ZG, Mai SJ, et al. Hypoxia can contribute to the induction of the Epstein–Barr virus (EBV) lytic cycle. J Clin Virol. 2006;37(2):98–103.

    PubMed  CAS  Google Scholar 

  416. Aghi MK, Liu TC, Rabkin S, Martuza RL. Hypoxia enhances the replication of oncolytic herpes simplex virus. Mol Ther. 2009;17(1):51–6.

    PubMed  CAS  Google Scholar 

  417. Wang C, Yu C, Jing H, Wu X, Novakovic VA, Xie R, et al. Long COVID: the nature of thrombotic sequelae determines the necessity of early anticoagulation. Front Cell Infect Microbiol. 2022. https://doi.org/10.3389/fcimb.2022.861703.

    Article  PubMed  PubMed Central  Google Scholar 

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Acknowledgements

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This research has been funded by donations for chronic fatigue syndrome research through the crowdfunding platform Helpify and has been supported by The Solve ME/CFS Initiative under the RAMSAY GRANT PROGRAM 2019.

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Ruiz-Pablos, M., Paiva, B. & Zabaleta, A. Epstein–Barr virus-acquired immunodeficiency in myalgic encephalomyelitis—Is it present in long COVID?. J Transl Med 21, 633 (2023). https://doi.org/10.1186/s12967-023-04515-7

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