Skip to main content

Microbiota and chronic inflammatory arthritis: an interwoven link



Only recently, the scientific community gained insights on the importance of the intestinal resident flora for the host’s health and disease. Gut microbiota in fact plays a crucial role in modulating innate and acquired immune responses and thus interferes with the fragile balance inflammation versus tolerance.

Main body

Correlations between gut bacteria composition and the severity of inflammation have been studied in inflammatory bowel diseases. More recently similar alterations in the gut microbiota have been reported in patients with spondyloarthritis, whereas in rheumatoid arthritis an accumulating body of evidence evokes a pathogenic role for the altered oral microbiota in disease development and course. In the context of dysbiosis it is also important to remember that different environmental factors like stress, smoke and dietary components can induce strong bacterial changes and consequent exposure of the intestinal epithelium to a variety of different metabolites, many of which have an unknown function. In this perspective, and in complex disorders like autoimmune diseases, not only the genetic makeup, sex and immunologic context of the individual but also the structure of his microbial community should be taken into account.


Here we provide a review of the role of the microbiota in the onset, severity and progression of chronic inflammatory arthritis as well as its impact on the therapeutic management of these patients. Furthermore we point-out the complex interwoven link between gut-joint-brain and immune system by reviewing the most recent data on the literature on the importance of environmental factors such as diet, smoke and stress.


Recent advances in sequencing technologies have allowed the deep characterization of the human microbiota, thus greatly improving our knowledge on the role of the microbiome in human health and disease. Human microbiome project consortium studies [1] demonstrated that healthy individuals have not only a high degree of bacterial diversity, dependent on their habitat (intestine, oral cavity, skin or vagina), but that there is also a remarkable inter-individual variability at the level of species. In spite of the large amount of different species found at different sites, at the level of microbial community there is evidence for a certain constancy that preserves both the function and the bacterial gene profiling associated to specific tissue sites. For example the anaerobic firmicutes/bacteroidetes spp. dominate the intestine whereas actinobacteria and proteobacteria spp. are highly abundant in the skin. Given the strong variability and abundance of microbes living in close relation with us, it becomes a difficult task to define what should be considered the “normal” microbiome. Moreover, the same microbe may behave as commensal or as pathogen depending on the dietary components, nutritional milieu, co-infection or genetic background of its host. Albeit, it is still generally accepted that commensal bacteria contribute to immune homeostasis, whereas immune reaction against intestinal flora is accepted as a pathological sign. This distinction, however, is not absolute, because it is possible to find in serum of healthy subjects antibodies specific to commensals as well as circulating T cells able to react against non-pathogenic bacteria [2, 3]. Gut colonization, at birth, is indispensable to trigger and endure maturation of the mucosal immune system. At this phase, in which the immune structures are not yet fully developed, microbiota plays a crucial role in setting-up innate and acquired immune responses and thus interferes with the fragile balance among inflammation, infection and tolerance that may be “imprinted” for life. It is known that germ-free mice have hypoplastic Payer’s patches (PP), lack isolated lymphoid follicles (ILF) in the intestine and have low levels of IgM natural antibodies in the serum and that this phenotype can be reverted by gut colonization [4]. Undoubtedly, colonization of the distal small intestine by segmented filamentous bacteria (SFB) is crucial for the development of resident lamina propria dendritic cells to secrete IL-6 and IL-22 triggering the loop of Th17-T regulatory (Treg) cell [5] generation in the new-born gut. The discovery of a link between defined members of the microbiota and the induction of Treg cells generated a huge interest. However, very recent studies demonstrate that the homeostasis of the colonic Treg compartment relies more on the synergistic effect of different bacterial strains than on a single individual species of that strain. This observation strongly suggests the importance of the bacterial community in creating a microenvironment able to sustain the generation and maintenance of the anti-inflammatory milieu [6, 7]. Another player, particularly important in the development of arthritis that depends upon SFB colonization, is the follicular T helper cell (Tfh). Tfh cells are a T cell subset specialized in providing T cell help to B cells in the context of germinal center (GC) formation. By inducing somatic hypermutation and class switching Tfh cells promote the generation of high affinity antigen specific memory B cells as well as antibody producing cells [8, 9]. Several studies have recently shown, in a K/BxN RA mouse model [10], that SFB interferes with Tfh differentiation in Payer’s Patches and supports antigen specific Tfh dissemination at systemic sites resulting at increased autoantibody production [11, 12].

As mentioned before not only bacteria but also bacterial-derived products can directly or indirectly control the function of epithelial and inflammatory cells and thus being key factors in initiating/maintaining disease. For instance, recognition of the metabolite short-chain fatty acids (SCFAs) by innate immune cells is critical for the regulation of inflammation in response not only to intestinal injury, but also in arthritis and allergy [13]. Commensals can also tune the inflammatory potential of monocytes by promoting the production of the lipid mediator PGE2 that, in turn, reduces activation of tissue-damaging neutrophils [14]. In addition to the intestinal microbiota with its regulatory elements, studies describing the microorganism composition of the oral cavity have also been undertaken and will soon give new insights on human health and disease. The oral mucosa contains several “ecological” niches that are able to harbor a large variety of bacteria, viruses and fungi. Although the oral microbiome may be influenced by diet, oral hygiene and smoke, a recent study showed that oral microbiome of rheumatoid arthritis (RA) individuals correlates with patient clinical features and differs from microbiome of healthy controls [15]. In conclusion, significant efforts have been recently undertaken to better understand our microbiome in terms of composition and metabolic pathways aiming at using microbes or microbial products for targeted therapy in various immunological dysfunctions, including autoimmunity.

Microbioma and host genetic background

Host genetic background, and in particular major histocompatibility complex (MHC) genes, plays a pivotal role in the microbial composition of the gut [16]. In this context, to the previously genome-wide studies in which association between HLA genes and susceptibility to autoimmunity has been demonstrated, the microbiome as potential environmental factor causing disease should now be inserted. It is known that certain HLA class-II alleles, such as the sequence 60-74 in the third hypervariable region 3 of DRB1*0401 gene, are associated with increased susceptibility to RA, not only caused by abnormal CD4 T cell activation, but also due to the generation of autoantibodies. In this case, infectious agents trigger the production of antibodies against self-antigens through a mechanism called molecular mimicry or cross-reactivity [17]. Another example is given by the HLA B27, HLA with strong genetic risk factor for the pathogenesis of spondyloarthritis (SpA), that has an amino acid sequence shared with a nitrogenase from Klebsiella and other proteins present in Gram-negative bacteria. In this case, antigen mimicry induces cross-reactivity between microbial epitopes and self-proteins resulting in autoreactive immune responses. The contribution of antigen mimicry in promoting autoimmune disease has been confirmed in rodents expressing human HLA B27 molecules that are preserved from developing peripheral arthritis, similar to SpA disease, when raised in a germ-free environment [18, 19]. Although pathogenic bacteria are clearly involved in promoting autoimmune diseases also nonpathogenic commensal bacteria may play a role through the chronic activation of the innate and acquired immune responses [20]. Worth to mention that often in rheumatic diseases, patients may present leakage of the mucosal barrier or altered immune functions strongly conditioning the persistence of antigenic stimulation even at articular sites [21]. In the context of altered immune functions, Toll like receptors (TLR) by modulating the binding to bacterial products, interfere with Th17 generation and inflammation and thus may contribute to the persistence of RA disease [22]. Notwithstanding TLR polymorphisms were shown not to be directly involved in RA pathogenesis [23, 24], its role, not only in regulating innate immune responses, but also in the epithelial cell homeostasis at mucosal sites, may upon environmental exposure become a pathogenic factor. Another important class of receptors linked to bacterial sensing are G-couple protein receptors family (GPR). Several members of this family are orphan receptors binding several ligands including bacterial products and dietary metabolites derived from gut microbiota. The receptor with the strongest link with bacterial sensing is the caspase recruitment domain-containing 9 (CARD9). This receptor is strongly associated with disease in Crohn’s patients, and although CARD9 polymorphisms resulting in reduced CARD9 expression have been identified in AS, further studies are needed to sustain the association between CARD9 and AS disease [25, 26].

Microbiota and spondyloarthritis

SpA are chronic progressively disabling inflammatory diseases with a reported prevalence of 2.4/1000 and with a number of estimate patients of 1.5 × 106 only in Europe [27]. The SpA group includes ankylosing spondylitis (AS), psoriatic arthritis (PsA), reactive arthritis, SpA associated to inflammatory bowel disease (IBD) (also known as enteropathic arthritis), acute anterior uveitis and the most recently acquainted axial non radiographic SpA. Since their pleomorphic phenotype SpA early diagnosis and management is often a challenge for the clinician. In fact, SpA patients may come to the healthcare units with an axial involvement (i.e. sacroiliitis) and/or peripheral arthritis frequently associated to extra-articular manifestations affecting skin, eyes, and intestine. In particular SpA shares various clinical, genetic and immunological features with IBD and, although enteropathic SpA represents the clinical evidence of association between the two, subclinical intestinal abnormalities can be found up to 50 % of SpA patients [28]. Translocation of intestinal microbes, caused by the increased permeability of the intestinal epithelial cell layer, or increased exposure to microbial products are two possible links connecting gut dysbiosis and joint pathology [29]. In recent years different authors have reported abnormalities in the gut microbiota in patients with IBD, suggesting that these diseases can result from altered interactions between gut microbes and the mucosal immune system [3032]. Although, gut microorganism composition plays an important role in chronic inflammatory disorders, no specific bacterial strain has been yet identified as instrumental cause of the disease. Since SpA is frequently associated to IBD, it is coherent to hypothesize a potential role for the gut microbiota and consequently for dysbiosis also in SpA pathogenesis. Indeed, the first experimental evidence for this link aroused from the animal model of human AS [33]. The ankylosing enthesopathy (ANKENT) mouse which is spared from developing joint ankylosis in germfree environment develops a less severe form of the disease in pathogen-free conditions [34]. Another study, in germfree HLAB27/human β2 microglobulin transgenic rats using bacterial transfers, revealed that only the gut colonization with bacteria isolated from the intestinal flora of Crohn’s disease patients was able to induce bowel and joint inflammatory disease [35]. More recently, Rosenbaum et al. [19] using high throughput 16S sequencing techniques studied the microbial composition present in the cecum of these transgenic rats and found a significant expansion of Prevotella and B. vulgatus spp. In contrast to IBD there are few data on the gut microbiota composition and function in SpA patients. Stebbings et al. are the only group that reported two comparative studies on the microbiota isolated from fecal samples of AS patients and healthy controls. In the first study, they found a higher proportion of sulphate-reducing bacteria in the fecal samples from AS patients with no significant difference in the microbiota composition using denaturing gradient gel electrophoresis [36]. In the second study, using an indirect in vitro experimental approach, they observed that IL-10 production by peripheral blood mononuclear cells (PBMC) measured in the supernatants of the cell cultured with autologous Bacteroidetes were lower in the AS group compared with controls suggesting that patients have a reduced ability to generate tolerogenic environment in their gut [37]. Stool and blood specimens collected from children with enthesitis-related arthritis showed less Faecalibacterium prausnitzii spp. and Lachnospiraceae family members and a significant increase in Bifidobacterium genus; the authors found also differences in the humoral responses mainly altered levels of the specific IgA antibodies reacting against the aforementioned bacteria. This suggests that the imbalance observed in the bacterial community may contribute to disease onset [38]. Another place heavily exposed to microorganisms, where uncontrolled inflammation may lead to autoimmunity, is the skin. Recent studies, using different sampling techniques, such as skin swabs or punch biopsies, have both found a significant reduction in Actinobacteria and Propionibacteria in skin lesions of patients with psoriasis and an increase in Firmicutes as compared to healthy dermis [39, 40]. PsA can be associated with both psoriasis and IBD, suggesting an etiologic overlap between the joint inflammation and both gut and skin pathology in which the microbiome may be the common mediator. The group of Scher [41] showed very recently a reduced diversity in the gut microbiota composition of patients with PsA and skin psoriasis when compared to healthy controls. More specifically, this study reports a significant reduction in members of the bacterial genus Akkermansia, Ruminococcus, and Pseudobutyrivibrio in feacal samples from PsA patients.

Microbiota and rheumatoid arthritis

RA is an inflammatory autoimmune disease potentially leading to functional disability, with about 30 % of patients unable to work after 3 years of disease. It is characterized by the positivity of specific autoantibodies [rheumatoid factor (RF) and anti-citrullinated protein antibodies (ACPAs)] and the presence of an erosive simmetric synovitis affecting predominantly small joints such as hands, wrists and feet. There is strong evidence that the highest joint inflammation level may be observed early (75 % erosions within the first 2 years) and that timely treatment is able to slow down the progression of bone and join damage measured by radiographic scanning. This awareness of the need of early intervention, joined to the availability of more effective methods for early diagnosis/prognosis and the development of new therapeutic tools, pushed clinicians to introduce and characterize the concept of “early rheumatoid arthritis” (eRA). A comparative study conducted on fecal samples of patients with newly diagnosed RA and of patients with fibromyalgia showed that the first group had significantly lower abundance of common commensals including Bifidobacteria and Bacteroides [42]. Another study investigated the composition of fecal Lactobacillus communities in eRA patients and found a higher diversity of bacteria than in healthy controls [43]. On the other hand Chen et al. have recently reported a decreased gut microbial diversity in RA patients, which correlated with disease duration and autoantibody levels. In fact, analysis of the 16S ribosomal DNA of fecal samples from RA patients showed the expansion of rare taxa that allowed authors to develop a prediction model identifying three genera, Collinsella, Eggerthella, and Faecalibacterium segregated with RA disease [44].

Scher et al. performed 16S sequencing on 114 stool samples from eRA patients and controls, and shotgun sequencing on a subset of all the samples. Results showed an abundance of Prevotella copri spp. with concomitant loss of various Bacteroidetes phylum members in the stool of RA patients [45]. The inoculation of fecal samples from eRA patients into germ-free arthritis-prone SKG mice showed increased sensitivity to arthritis via activation of autoreactive T cells in the intestine. T cell activation in these mice was most probably caused by dysbiosis. In fact, deep sequencing of the 16S rRNA of fecal eRA samples showed a microbiota markedly dominated by Prevotellaceae [46].

Beyond gut microbiome, an accumulating body of evidence strongly evokes a pathogenic role for the altered oral microbiota in RA development and disease course. Interestingly Zhang et al. using metagenomic shotgun sequencing and a metagenome-wide association study (MGWAS) found a concordant dysbiosis of both fecal and oral samples from RA patients that was partially resolved after RA treatment. In fact, microbiome changes correlated with clinical measures in particular, Haemophilus spp. was depleted and negatively correlated with levels of serum autoantibodies, whereas Lactobacillus salivarius was over-represented. This was reinforced by the observation that Lactobacillus salivarius was also present in increased amounts in very active RA disease [15].

The oral healthy microbiome is second only to the gut in total microbial species and is extensively represented by the bacteria phyla Firmicutes, Bacteroidetes, Proteobacteria, Actoniobacteria, Spirochaetes and Fusobacteria [47]. The periodontitis (PD)-associated bacteria are widely studied and Porphyromonas gingivalis, Tannerella forsythia, and Treponema denticola are the species most frequently associated with this chronic inflammatory oral disease [48, 49]. RA and the most severe forms of PD share several immunological and morphological features, such as increased levels of pro-inflammatory cytokines and metalloproteinases that can lead to several tissue and bone alterations [43, 50]. Different groups have joined efforts in studying the epidemiological association between these two diseases aiming at identifying a possible pathogenic link. The most convincing hypothesis is that certain species of bacteria present in the oral cavity induce break of tolerance, by exerting an abnormal citrullination activity. Citrullination is a post-translational reaction consisting of the conversion of arginine into citrulline, which can have important consequences for the protein structure and function. Citrullinated proteins arise by the activity of peptidyl-arginine-deiminases (PAD) enzymes that catalyze the modifications of peptidyl-arginine to peptidyl-citrulline on different self-proteins, among which α-enolase, keratin, fibrinogen, fibronectin, collagen, and vimentin; loss of tolerance to such neo-epitopes elicits an ACPAs response that may result into disease [51]. In 2004 Rosenstein et al. suggested that the humoral response to P. gingivalis could provide a trigger for the development of RA [52]. Porphyromonas gingivalis is actually the only known bacterium carrying a PAD enzyme [53]. Although PAD enzymes expressed in P. gingivalis are quite different from the human variants it has been reported that these bacterial enzymes can lead to irreversible citrullinated peptides, mainly in α-enolase and fibrinogen, in RA patients [54, 55]. The importance of oral bacteria as a disease-causing element by this mechanism has been corroborated by a number of studies showing strong correlations between increased prevalence of periodontitis and severity in RA, as well as, by the detection of anaerobes and high antibody titers against periodontal bacteria both in the serum and in the synovial fluid of RA patients [45, 56, 57]. A recent paper from Scher et al. by using a 16S rRNA pyrosequencing approach, showed that severe PD is already present at the onset of RA in newly diagnosed and untreated patients. Although Scher demonstrated that RA patients have twice the amount of P. gingivalis as compared to healthy controls this observation did not correlate with the presence of APCA [58]. Lange et al. have recently demonstrated that children with CCP-positive Juvenile Idiopathic Arthritis (JIA) have higher antibody responses to P. gingivalis and poor oral health than children with APCA-negative JIA [59].

In a murine model of chronic Ag-induced arthritis (AIA) Queiroz-Junior et al. showed that PD resulted simultaneously in synovial joint hyperplasia, severe alveolar bone loss, migration of osteoclasts and release of pro-inflammatory cytokines; moreover anti–TNF-α therapy was able to prevent the development of both AIA and PD [60]. Two other groups evaluated the role of the conventional therapy for PD and root planning in improving RA inflammation and activity suggesting a link between PD and RA. In the first study the authors showed a better outcome in RA patients who received a PD treatment in addition to standard disease modifying antirheumatic drugs (DMARDs) and anti-TNF-α [61]. The second study reported the presence of PD in RA patients as a prognostic factor associated to a poor response to anti-TNF-α therapy [62].

Finally, the first case of a complete and long-lasting recovery after periodontal treatment, in a male patient with newly onset of RA and PD has been recently reported, suggesting that in selected early RA cases, prompt periodontal infection treatment may induce disease regression, thus avoiding the development of a chronic and progressive arthritis [63].

Environmental factors influencing arthritis and microbiota


Environmental factors that influence periodontal bacterial community may represent risk factors for the development of autoimmune diseases. One of the most well studied risk factors affecting both periodontal disease and arthritis is smoke [64, 65]. Cigarette smoke can lead to several immune dysregulations, such as modulation of apoptosis with the increased exposure of sequestered intracellular autoantigens and increased release of free radicals that can cause mutations or gene activation [66, 67]. It can also induce alterations of T cell function, impair humoral responses and change the balance between regulatory and inflammatory cytokines [66, 6870]. Onozaki et al. incubated human synovial fibroblasts with 5 % cigarette smoke extract and by using microarray and real time PCR observed a significant upregulation of the heat shock proteins DnaJA4, DnaJB4, DnaJC6, HspB8 and Hsp70 that have been shown to lead the activation of inflammatory signaling pathways in RA [71]. In RA patients, cigarette smoke can act via the induced production of ACPAs. The smoke attributable risk for RA is variable; a large prospective study reports a risk ratio ranging from 2.6 to 3.8 in former and heavy smokers compared with non smokers [72]. The association is stronger in men, in patients positive for ACPAs and expressing the shared HLA epitope (HLA-DRB1) [73, 74]. Data on tobacco consumption and RA disease severity are contrasting, however there is agreement on the increase in extra-articular manifestations and earlier onset of disease in RA smokers as compared to non-smokers [75]. Of note, different authors and registries data highlighted a significant lower response to synthetic and biological (anti-TNF-α) drugs, as well as, a reduction in the probability of reaching disease remission in RA smokers [7678]. The negative impact of tobacco on drug response can be also related to its effect on the drug metabolic rate and consequent pharmacokinetics alteration as previously reported [79]. In PD, the effect of smoke on microbiota are controversial, however, it has been demonstrated that P. gingivalis, Tannerella forsythia, Aggregatibacter actinomycetemcomitans spp. and, more recently, Parvimonas and Treponema have a higher prevalence on the oral cavity of smokers than in non-smokers subjects [80, 81]. Few are the studies that have analysed the influence of smoking on the composition of the gut microbiota. However Biedermann et al. have recently showed significant changes after smoking cessation with an increase in Firmicutes and Actinobacteria accompanied by a reduction of Bacteroidetes [82].


Diet is another modifiable environmental factor that can influence both microbiota composition/diversity and arthritis onset/outcome. A certain cause-effect relation between diet and arthritis is hard to perform thus genetics and living conditions cannot be ruled out as important interfering factors. However the relevance of diet composition is also suggested by the significant differences in the human microbiota structure between geographically distant populations [83, 84]. It has been reported that a diet rich in animal proteins, simple sugars and saturated fats, all typical components of food intake in western countries, is characterized by a less diverse microbiome associated with the Bacteroidetes enterotype, whereas Prevotella is the most prevalent in people assuming high fiber diets rich in fruits and vegetables [85]. The fecal microbiota of African children (characterized by a diet prominently composed of plant-derived carbohydrates) is enriched in Prevotella and Xylanibacter and depleted in Bacteroides compared to the European and USA children [86]. Recent data also demonstrated that dietary intervention can modify, even rapidly, gut microbiota structure and overwhelms inter-individual differences in microbial gene expression. Subjects replacing a diet high in fibers with a short term one (ad libitum for 5 days) rich in animal-based high fat and proteins have an increase in bile-tolerant microorganisms (Alistipes, Bilophila, and Bacteroides phyla) and a decrease in Firmicutes, such as Roseburia, Eubacterium rectale and Ruminococcus bromii that metabolize dietary plant polysaccharides [87]. However, recently, Cotillard et al. demonstrated that dietary intervention, such as a change to a low caloric diet, is able to increase microbiome gene richness only in overweight subjects characterized by low gene richness at baseline, suggesting that the responses to nutritional modulation are influenced by the initial microbiota structure present in a given individual [88]. A 2009 Cochrane review evaluated the effects of dietary interventions in RA patients which included fourteen randomized clinical trials (RCTs) and one case control study, with a total of 837 patients [89]. Among these RCTs, one found that fasting, followed by 13 months on a vegetarian diet, can reduce pain and morning stiffness but was unable to restore the physical function with respect to control group [90]. Another RCT found that a 12-week Cretan Mediterranean diet could reduce pain but was unable to rescue physical function or morning stiffness [91]. Finally, two other RCTs compared 4 weeks elemental diet with an ordinary diet and reported no significant differences in pain, function or stiffness [92, 93]. Based on these observations the authors of the Cochrane concluded that favorable disease outcomes given by any dietary manipulation, including vegetarian, mediterranean, elemental and elimination diets, on RA patients are not conclusive. The uncertainty related to the validity of such results is due to the poor quality of the reported data and also to the possible adverse events related to severe diet restriction. As alternative to full diet change, diet supplementation with derivatives of polyunsaturated fatty acid (PUFA) omega-6 has also been investigated. Arachidonic acid (ARA), a product of PUFA-omega-6, is a substrate for the synthesis of important mediators of inflammation called eicosanoids which are known to participate in the pathogenesis of chronic joints synovitis in RA and SpA and are commonly target by NSAIDs [94]. Other PUFAs with similar beneficial characteristics are the omega-3 eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA) that are present in seafood, especially oily fish, and in fish oil-type supplements [95]. These fatty acids are involved in ARA availability/metabolism and influence several immuno-inflammatory responses such as dendritic and T cell function, the production of inflammatory cytokines and reactive oxygen species in the health and in RA patients [96100]. In western country diet generally contains much more omega-6 than to omega-3 PUFA probably due to excessive intake of processed vegetable oils. In mouse models of arthritis a diet rich in fish omega-3 oils was able to delay disease onset and reduce joint synovitis compared to an omega-6 based diet [101, 102]. Several authors evaluated the effect of such a dietary composition in patients with RA with contrasting results, however a recent meta analysis including selected published studies between 1985 and 2009 has reported a moderate role for supplementation with omega-3 fatty acids in decreasing joint pain and morning stiffness [95]. Vitamin D is another dietary nutrient that has demonstrated increasing relevance in reducing inflammatory autoimmune diseases in the last years. Vitamin D levels are influenced by several factors such as sun exposure, age, ethnicity, body mass index, use of medications and supplements. It is known that vitamin D can reduce inflammation and modulate the immune system and an association between vitamin D serum levels and rheumatoid disease in mouse models of arthritis has been reported [103, 104]. Furthermore, the prevalence of RA is higher in areas where vitamin D deficiency is present, however data regarding vitamin D supplementation in RA patients are insufficient and contrasting [105, 106].


Stress consists in a stimulus that precipitates a reaction in the brain with the consequent activation of physiological fight-or-flight responses [107, 108]. This reaction can modify hypothalamic–pituitary-adrenal (HPA) axis by the secretion of hormones like gluco-corticoid, mineral-corticoid, epinephrine and norepinephrine that are able to modulate the immune system by interfering with cytokine secretion and immune cell redistribution. The impact of stress on immune function has been extensively investigated in healthy subjects exposed to different type of stress factors (eustress vs distress), intensity (minor stress such as work stress and interpersonal relations, or major stress like death or severe illness of a parent) and duration (acute vs chronic stress) [109111]. Stress can modulate the immune system by inducing a shift away from cellular immunity (T helper type 1, Th1) towards humoral responses (T helper type 2, Th2) [112, 113]. The effect of stress can be different according to the type of stressor, subject and environment, however it is generally accepted that short-term stress can enhance innate and adaptive immune responses, whereas chronic or long-term stress can induce immunosuppression by decreasing immune cell numbers and function and/or increasing active immunosuppressive mechanisms [114, 115]. Since stress has the ability of modulating immune function and the empirical observations that stress could precede autoimmune onset and disease flares, different authors evaluated the impact of stress in these pathologies [116118]. A proposed mechanism for the brain-immune axis to influence disease activity is the induction of pro-inflammatory cytokine secretion; indeed an increase in IL-6 and IL-1 has been observed during acute stress in patients with autoimmune disorders [112, 119121]. Stress can also be an autoimmune inducer by influencing lymphocyte number and activity. It has been reported, in fact, that an acute stress in healthy subjects is able to induce an imbalance between peripheral effector T cells (CD8posCCR7neg) and Tregs (CD4posFOXP3pos) in favor of the effector arm of the immune system [114]. Despite these observations, strong evidences for a clinical role of stress in RA onset/flares are still a matter of controversy. Different authors in fact found no significant association between exposure to previous stressful events and increased incidence of RA [122, 123], furthermore, in most of the studies no significant correlation between disease severity and major stressors has been found [119, 124]. In contrast to the studies mentioned above, more recently, Zautra et al. have reported an increased incidence of disease flare up in RA women exposed to minor stress [125] and Potter’s group described a worse disease presentation and radiographic outcome in a 5-year follow-up study of RA patients exposed to high levels of daily minor stress [126]. The axis between brain and immune system involves also the gut microbiome. The complex network between gut microbiota and the brain encompasses the central and autonomic nervous system and communicates via hormonal neural cytokine pathways. In recent years there is a growing interest in elucidating this network and in finding correlations between microbiota composition/diversity and stress related disturbances such as depression anxiety and pain. The first evidence comes from several experiments on stress induction in GF mouse models that reported a reduction of the anxiety-like behaviors in GF mice as compared to specific pathogen free mice; furthermore this behavioral condition was confirmed by changes in plasticity-related genes in the hippocampus and amygdala [127]. Always in mice, Nishino et al. showed that the type of commensal microbiota present in the gut can influence behavior by describing that the monoassociation with Blautia coccoides spp. in GF mice reduced anxiety-like behavior in open field, whereas monoassociation with Bifidobacterium infantis reduced activity without affecting anxiety [128]. Another group using a mouse model of induced anxiety and depression via olfactory bulbectomy, reported alterations in gut microbiota, which were related to the activation of the hypothalamic pituitary adrenal axis [129]. Finally last year Topol et al. showed in rats a reduction in the total number of Xbp1pos lymphocytes in the gut associated lymphoid tissue of the ileum in animals under induced chronic social stress suggesting a role for Xbp1 expression levels as a trigger of inflammation and thus as potential link between stress and autoimmunity [130]. For what concerns depression and its interplay with gut flora few relevant data is available. Only, recently Naseribafrouei addressed this topic and demonstrated an overrepresentation of Bacteroidetes spp. and a reduction of Lachnospiraceae in the fecal microbiota of 37 patients with depression [131]. In individuals suffering of irritable bowel syndrome, in which anxious/depressed status plays an important role, it was described a reduction in Bacteroidetes and an increase in Firmicutes phylum representation [132134]. Behavior modifications, induced by the probiotic mix, were reflecting the reduction in microglial activation and cerebral monocyte infiltration as well as the decrease in circulating TNF-α levels [135]. Despite these efforts studies that put together microbiota, nervous system and chronic inflammatory diseases in clear correlation of cause effect are still lacking.

Therapy, microbiota and arthritis

Probiotics are defined as living organisms that if ingested in adequate amount can confer a health benefit to the host [136, 137]; lactic acid and bifidobacteria are the most frequently used types of bacteria. Probiotic use has been recently analysed in animal models of arthritis whereas few studies have been conducted in humans. First evidence for beneficial effects comes from two papers by So et al. in which they studied the outcome of L. casei (5 × 109 CFU × 3 times per week) administration in CIA rats [138, 139]. Probiotic oral assumption produced a reduction in inflammatory (i.e. IL-1α, IL-6, IL-12, IL-1 and TNF-α) and an increase in regulatory cytokines (IL-10) accompanied by an improvement in disease signs, such as paw swelling and cartilage tissue damage. These results were confirmed by a more recent study, in which assumption of L. casei (2 × 108 CFU/mL daily) demonstrated to exert significant protection in a CIA rat model by preventing synovial infiltration, pannus formation, and bone destruction compared to control rats and CIA rats treated with indomethacin [140]. In RA patients, three RCTs have been recently published with contrasting results. The first study evaluated the effects of the oral administration of a probiotic containing Bacillus coagulans (2 billion CFU) plus green tea extract, methy-sulfonyl-methane, vitamins and minerals versus placebo on 45 RA patients during a 2 months follow-up [141]. Patients receiving probiotic treatment resulted in a greater improvement in their global and self assessed disability as well as a greater reduction in serum C reactive protein (CRP) tender and swollen joints count. In 2011 Pineda et al. examined the effect of probiotic supplementation in 15 patients with established moderate RA under DMARDs, 14 matched RA patients were used as controls [142]. Patients received capsule containing either 2-billion CFU Lactobacillus rhamnosus and Lactobacillus reuleri or capsule without bacteria for a follow-up period of 3 months. At the end of the study there was no significant difference between treated and non-treated individuals in terms of clinical disease activity scores or in the main inflammatory serological parameters and cytokines. The last trial conducted by an Iranian group tested the effect of L. casei on 22 women with established RA as adjunctive therapy to the ongoing stable synthetic immunosuppressant in comparison to 24 women with RA that were used as control group [143]. Authors described a reduction in the swollen and tender joints count, as well as, in the patient global health and CRP at 3 months only in the group receiving L. casei (capsule containing a minimum of 108 CFU). Moreover, more patients in the probiotic group were found to have moderate response to the treatment and a reduction of serum levels of inflammatory cytokines compared to the placebo group. However, looking in depth, the beneficial effects given by probiotics appear less solid; in fact one should take into account that patients at baseline had a mean number of swollen and tender joints of zero and a normal CRP reflected by a mean disease activity score on 28 joints (DAS28) of 2.6 that is a value in which patients are already considered at clinical remission. Interestingly in 2009 one pilot study reported a significant reduction of bath ankylosing disease activity index (BASDAI) in patients with active SpA associated to quiescent ulcerative colitis (UC) after treatment with a probiotic regimen of Lactobacillus acidophilus and Lactobacillus salivarius [144]. However more recently a RCT developed by Jenks et al. involving 63 patients with active SpA receiving either a probiotic containing at least 108 CFU of Streptococcus salivarius, Bifidobacterium and Lactobacillus acidofilus or placebo over a period of 3 months, failed to demonstrate significant differences in any of the clinical disease activity or functional domain such as BASDAI, bath ankylosing functional index (BASFI) and Maastricht spondylitis enthesitis score (MASES) between the 2 groups [145]. Of note, Bernston et al. have recently reported a case of a patient with severe JIA that a significantly improved his clinical status after several months of therapy with solely enteral nutrition. Patient also showed changes in his gut microbiome and metabolome [146].

There is a growing awareness that different drugs such as antibiotic and immunosuppressant can both influence and to be influenced by microbiota diversity and composition. Although the impact of antibiotics on microbiome is mostly temporary, their frequent use or administration during early infancy can exert permanent effects only partially understood. It is known that anti-cancer therapy frequently used also in treating chronic inflammatory arthritis, such as methotrexate and cyclophosphamide, changes dramatically the gut microflora. After these treatments often occurs a general depletion of the gut microbiota, the drop in bacteria diversity is accompanied by a reduction in the commensal anaerobic species in favor of potential pathogens that can lead to a deterioration of the gut barrier, altering epithelial cell permeability with consequently bacterial translocation [147]. The hypothesis that the gut microbiota can interfere with the outcome of anticancer therapy is not new, but only recently two independent groups have addressed this issue using mouse models. Iida et al. [148] showed that CpG-oligonucleotide administration in antibiotic-treated or in GF mice resulted in an impaired cytokine production by tumor-infiltrating myeloid-derived cells; furthermore these mice presented a deficient production of reactive oxygen species and cytotoxicity after chemotherapy. The other group [149] demonstrated that antibiotic-treated mice or GF were resistant to cyclophosphamide depleting action probably because of a reduction in the generation of Th17 cells, suggesting that an intact microbiota is necessary for successful tumor control in response to therapy. Sulphasalazine (SSA) is a drug commonly used both in IBD and chronic inflammatory arthritis such as SpA and RA. Different authors have analysed the role of the intestinal microbiota in SSA metabolism and found a reduction of SSA anti-inflammatory function in patients with UC previously treated with severe antibiotic regimens [150, 151]. In contrast to these observations, Lee et al. [152] did not find significant changes in plasma and urinary levels of SSA and of its metabolites in a small group of RA patients in whom a multi-strain probiotic regimen was administered. The impact of microbiota on the therapy outcome using biologics has not been extensively explored. A pioneer study addressing this issue focused at the analysis of fecal samples isolated from 33 Crohn Disease (CD) patients treated with anti-TNF-α aiming to identify, based on the gut microbiota composition, a factor predictive of relapse. They found a lower rate of bacterial species belonging to the Firmicutes phylum in relapse as compared to non relapse patients, and a consistent drop in F. Prausnitzii spp. that was able to predict the incidence of disease flares [153].


In the last years there is a growing awareness regarding the role of the microbiota in the onset and outcome of patients with SpA and RA. Recently a reduction in the gut microflora diversity and alterations in its composition, similar to that observed in IBD, have been reported in patients with PsA; the increased permeability of the intestinal epithelial cell layer as well as the increased exposure to microbial products has been proposed as a mechanism that can connect dysbiosis to joint inflammation. In RA patients the most supported association between disease and microbiota is with the oral dysbiosis usually observed in patients with periodontitis. In particular, the presence of P. gingivalis could provide a trigger for RA onset in susceptible individuals by leading to the irreversible generation of citrullinated peptides.

To better understand the gut-joint link it is important to consider that several environmental factors such as diet, smoking and stress can influence both the microbiota diversity/composition and the arthritis onset/outcome. The relevance of diet is suggested by the differences in the gut microbiota between geographically and life style distant populations. In general, people assuming a diet rich in animal proteins, simple sugars and fats have a reduced diversity of gut microbiota with a prevalence of Bacteroidetes spp. Dietary intervention, fish oil, reduction in animal protein intake among others, can modify bacterial diversity in the gut sometimes leading to a mild reduction of joint inflammation. Smoking can cause several immune dysregulation and represents a risk factor for arthritis onset; in addition smoking can also affect arthritis outcome, by interfering with therapeutic response to synthetic and biological drugs. Smoking influences both oral and gut microflora with an increase in P. gingivalis, Tannerella and Bacteroidetes that can be partially reverted after smoking cessation. It is known that stress can influence the immune function and consequently autoimmune diseases via different serological and cellular pathways; a clinical role for stress in the onset and flares of patients with chronic arthritis has been reported, however it needs to be better elucidated. The axis between brain and immune system involves also the microbiota as supported by studies using several animal models and by the recent description of gut microbiota alterations in patients with depression and irritable bowel syndrome.

To identify individual parameters able to predict disease severity and therapeutic outcome in RA and SpA patients is still an unmet priority for the rheumatologist. A better elucidation of the potential role of the individual microbiota in these diseases could be a promising tool that deserves to be explored. Further studies are needed to better clarify how the changes in gut composition/diversity induced by environmental factors can reflect in the autoimmune arthritis development and prognosis however current knowledge strongly suggests to include smoking cessation and dietary intervention in the management of autoimmune arthritis patients.





rheumatoid arthritis


early rheumatoid arthritis


isolated lymphoid follicles


segmented filamentous bacteria


regulatory T


follicular T helper


short-chain fatty acids


major histocompatibility complex


ankylosing spondylitis


psoriatic arthritis


toll like receptors


caspase recruitment domain-containing 9


inflammatory bowel disease


ankylosing enthesopathy mouse


peripheral blood mononuclear cells


anti-citrullinated protein antibodies


metagenome-wide association study




Ag-induced arthritis




disease modifying antirheumatic drugs


randomized clinical trials


fatty acid


arachidonic acid


eicosapentaenoic acid


docosahexaenoic acid


C reactive protein


disease activity score on 28 joints


bath ankylosing disease activity index


ulcerative colitis


bath ankylosing functional index


maastricht spondylitis enthesitis score


juvenile idiopatihc arthritis




crohn disease


  1. 1.

    Arumugam M, et al. Enterotypes of the human gut microbiome. Nature. 2011;473(7346):174–80.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  2. 2.

    Ergin A, et al. Impaired peripheral Th1 CD4+ T cell response to Escherichia coli proteins in patients with Crohn’s disease and ankylosing spondylitis. J Clin Immunol. 2011;31(6):998–1009.

    CAS  PubMed  Article  Google Scholar 

  3. 3.

    Macpherson A, et al. Mucosal antibodies in inflammatory bowel disease are directed against intestinal bacteria. Gut. 1996;38(3):365–75.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  4. 4.

    Rhee KJ, et al. Role of commensal bacteria in development of gut-associated lymphoid tissues and preimmune antibody repertoire. J Immunol. 2004;172(2):1118–24.

    CAS  PubMed  Article  Google Scholar 

  5. 5.

    Ivanov II, et al. Induction of intestinal Th17 cells by segmented filamentous bacteria. Cell. 2009;139(3):485–98.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  6. 6.

    Atarashi K, et al. Treg induction by a rationally selected mixture of clostridia strains from the human microbiota. Nature. 2013;500(7461):232–6.

    CAS  PubMed  Article  Google Scholar 

  7. 7.

    Atarashi K, et al. Induction of colonic regulatory T cells by indigenous clostridium species. Science. 2011;331(6015):337–41.

    CAS  PubMed  Article  Google Scholar 

  8. 8.

    Crotty S. Follicular helper CD4 T cells (TFH). Annu Rev Immunol. 2011;29:621–63.

    CAS  PubMed  Article  Google Scholar 

  9. 9.

    Ma CS, et al. The origins, function, and regulation of T follicular helper cells. J Exp Med. 2012;209(7):1241–53.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  10. 10.

    Monach PA, Mathis D, Benoist C. The K/BxN arthritis model. Curr Protoc Immunol. 2008;81:15.22.1–12.

    Google Scholar 

  11. 11.

    Block KE, et al. Gut microbiota regulates K/BxN autoimmune arthritis through follicular helper T but not Th17 Cells. J Immunol. 2016;196(4):1550–7.

    CAS  PubMed  Article  Google Scholar 

  12. 12.

    Teng F, et al. Gut microbiota drive autoimmune arthritis by promoting differentiation and migration of Peyer’s patch T follicular helper cells. Immunity. 2016;44(4):875–88.

    CAS  PubMed  Article  Google Scholar 

  13. 13.

    Maslowski KM, et al. Regulation of inflammatory responses by gut microbiota and chemoattractant receptor GPR43. Nature. 2009;461(7268):1282–6.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  14. 14.

    Grainger JR, et al. Inflammatory monocytes regulate pathologic responses to commensals during acute gastrointestinal infection. Nat Med. 2013;19(6):713–21.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  15. 15.

    Zhang X, et al. The oral and gut microbiomes are perturbed in rheumatoid arthritis and partly normalized after treatment. Nat Med. 2015;21(8):895–905.

    CAS  PubMed  Article  Google Scholar 

  16. 16.

    Kovacs A, et al. Genotype is a stronger determinant than sex of the mouse gut microbiota. Microb Ecol. 2011;61(2):423–8.

    PubMed  Article  Google Scholar 

  17. 17.

    Rashid T, Ebringer A. Autoimmunity in rheumatic diseases is induced by microbial infections via crossreactivity or molecular mimicry. Autoimmune Dis. 2012;2012:539282.

    PubMed  PubMed Central  Google Scholar 

  18. 18.

    Lin P, et al. HLA-B27 and human β2-microglobulin affect the gut microbiota of transgenic rats. PLoS One. 2014;9(8):e105684.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  19. 19.

    Rosenbaum JT, Davey MP. Time for a gut check: evidence for the hypothesis that HLA-B27 predisposes to ankylosing spondylitis by altering the microbiome. Arthritis Rheum. 2011;63(11):3195–8.

    PubMed  PubMed Central  Article  Google Scholar 

  20. 20.

    Edwards CJ. Commensal gut bacteria and the etiopathogenesis of rheumatoid arthritis. J Rheumatol. 2008;35(8):1477–97.

    PubMed  Google Scholar 

  21. 21.

    van der Heijden IM, et al. Presence of bacterial DNA and bacterial peptidoglycans in joints of patients with rheumatoid arthritis and other arthritides. Arthritis Rheum. 2000;43(3):593–8.

    PubMed  Article  Google Scholar 

  22. 22.

    Rogier R, Koenders MI, Abdollahi-Roodsaz S. Toll-like receptor mediated modulation of T cell response by commensal intestinal microbiota as a trigger for autoimmune arthritis. J Immunol Res. 2015;2015:527696.

    PubMed  PubMed Central  Article  Google Scholar 

  23. 23.

    Coenen MJ, et al. Genetic variants in toll-like receptors are not associated with rheumatoid arthritis susceptibility or anti-tumour necrosis factor treatment outcome. PLoS One. 2010;5(12):e14326.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  24. 24.

    Lee YH, et al. Toll-like receptor polymorphisms and rheumatoid arthritis: a systematic review. Rheumatol Int. 2014;34(1):111–6.

    PubMed  Article  CAS  Google Scholar 

  25. 25.

    Cortes A, et al. Identification of multiple risk variants for ankylosing spondylitis through high-density genotyping of immune-related loci. Nat Genet. 2013;45(7):730–8.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  26. 26.

    Ma X, et al. Evidence for genetic association of CARD9 and SNAPC4 with ankylosing spondylitis in a Chinese Han population. J Rheumatol. 2014;41(2):318–24.

    CAS  PubMed  Article  Google Scholar 

  27. 27.

    Dean LE, et al. Global prevalence of ankylosing spondylitis. Rheumatology (Oxford). 2014;53(4):650–7.

    Article  Google Scholar 

  28. 28.

    Mielants H, et al. The evolution of spondyloarthropathies in relation to gut histology. II. Histological aspects. J Rheumatol. 1995;22(12):2273–8.

    CAS  PubMed  Google Scholar 

  29. 29.

    Asquith M, et al. The role of the gut and microbes in the pathogenesis of spondyloarthritis. Best Pract Res Clin Rheumatol. 2014;28(5):687–702.

    PubMed  PubMed Central  Article  Google Scholar 

  30. 30.

    Manichanh C, et al. Reduced diversity of faecal microbiota in Crohn’s disease revealed by a metagenomic approach. Gut. 2006;55(2):205–11.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  31. 31.

    Sokol H, et al. Low counts of Faecalibacterium prausnitzii in colitis microbiota. Inflamm Bowel Dis. 2009;15(8):1183–9.

    CAS  PubMed  Article  Google Scholar 

  32. 32.

    Sokol H, et al. Specificities of the fecal microbiota in inflammatory bowel disease. Inflamm Bowel Dis. 2006;12(2):106–11.

    PubMed  Article  Google Scholar 

  33. 33.

    Sartor RB, et al. Animal models of intestinal and joint inflammation. Baillieres Clin Rheumatol. 1996;10(1):55–76.

    CAS  PubMed  Article  Google Scholar 

  34. 34.

    Hacquard-Bouder C, Ittah M, Breban M. Animal models of HLA-B27-associated diseases: new outcomes. Joint Bone Spine. 2006;73(2):132–8.

    CAS  PubMed  Article  Google Scholar 

  35. 35.

    Rath HC, et al. Normal luminal bacteria, especially Bacteroides species, mediate chronic colitis, gastritis, and arthritis in HLA-B27/human β2 microglobulin transgenic rats. J Clin Invest. 1996;98(4):945–53.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  36. 36.

    Stebbings S, et al. Comparison of the faecal microflora of patients with ankylosing spondylitis and controls using molecular methods of analysis. Rheumatology (Oxford). 2002;41(12):1395–401.

    CAS  Article  Google Scholar 

  37. 37.

    Stebbings SM, et al. The immune response to autologous bacteroides in ankylosing spondylitis is characterized by reduced interleukin 10 production. J Rheumatol. 2009;36(4):797–800.

    CAS  PubMed  Article  Google Scholar 

  38. 38.

    Stoll ML, et al. Altered microbiota associated with abnormal humoral immune responses to commensal organisms in enthesitis-related arthritis. Arthritis Res Ther. 2014;16(6):486.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  39. 39.

    Fahlen A, et al. Comparison of bacterial microbiota in skin biopsies from normal and psoriatic skin. Arch Dermatol Res. 2012;304(1):15–22.

    CAS  PubMed  Article  Google Scholar 

  40. 40.

    Gao Z, et al. Experimental study of electroporation-mediated plasmid gene expression in skin and incisional wound. Zhonghua Zheng Xing Wai Ke Za Zhi. 2008;24(5):390–3.

    PubMed  Google Scholar 

  41. 41.

    Scher JU, et al. Decreased bacterial diversity characterizes the altered gut microbiota in patients with psoriatic arthritis, resembling dysbiosis in inflammatory bowel disease. Arthritis Rheumatol. 2015;67(1):128–39.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  42. 42.

    Vaahtovuo J, et al. Fecal microbiota in early rheumatoid arthritis. J Rheumatol. 2008;35(8):1500–5.

    CAS  PubMed  Google Scholar 

  43. 43.

    Liu X, et al. Analysis of fecal lactobacillus community structure in patients with early rheumatoid arthritis. Curr Microbiol. 2013;67(2):170–6.

    CAS  PubMed  Article  Google Scholar 

  44. 44.

    Chen J, et al. An expansion of rare lineage intestinal microbes characterizes rheumatoid arthritis. Genome Med. 2016;8(1):43.

    PubMed  PubMed Central  Article  Google Scholar 

  45. 45.

    Scher JU, et al. Expansion of intestinal prevotella copri correlates with enhanced susceptibility to arthritis. Elife. 2013;2:e01202.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  46. 46.

    Maeda Y, et al. Dysbiosis contributes to arthritis development via activation of autoreactive T cells in the intestine. Arthritis Rheumatol. 2016. doi:10.1002/art.39783.

    Google Scholar 

  47. 47.

    Dewhirst FE, et al. The human oral microbiome. J Bacteriol. 2010;192(19):5002–17.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  48. 48.

    Peterson SN, et al. The dental plaque microbiome in health and disease. PLoS One. 2013;8(3):e58487.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  49. 49.

    Wade WG. The oral microbiome in health and disease. Pharmacol Res. 2013;69(1):137–43.

    CAS  PubMed  Article  Google Scholar 

  50. 50.

    Berthelot JM, et al. Outcome and safety of TNFα antagonist therapy in 475 consecutive outpatients (with rheumatoid arthritis or spondyloarthropathies) treated by a single physician according to their eligibility for clinical trials. Joint Bone Spine. 2010;77(6):564–9.

    CAS  PubMed  Article  Google Scholar 

  51. 51.

    McInnes IB, Schett G. The pathogenesis of rheumatoid arthritis. N Engl J Med. 2011;365(23):2205–19.

    CAS  PubMed  Article  Google Scholar 

  52. 52.

    Rosenstein ED, et al. Hypothesis: the humoral immune response to oral bacteria provides a stimulus for the development of rheumatoid arthritis. Inflammation. 2004;28(6):311–8.

    PubMed  Article  Google Scholar 

  53. 53.

    McGraw WT, et al. Purification, characterization, and sequence analysis of a potential virulence factor from Porphyromonas gingivalis, peptidylarginine deiminase. Infect Immun. 1999;67(7):3248–56.

    CAS  PubMed  PubMed Central  Google Scholar 

  54. 54.

    Quirke AM, et al. Heightened immune response to autocitrullinated Porphyromonas gingivalis peptidylarginine deiminase: a potential mechanism for breaching immunologic tolerance in rheumatoid arthritis. Ann Rheum Dis. 2014;73(1):263–9.

    CAS  PubMed  Article  Google Scholar 

  55. 55.

    Wegner N, et al. Peptidylarginine deiminase from Porphyromonas gingivalis citrullinates human fibrinogen and α-enolase: implications for autoimmunity in rheumatoid arthritis. Arthritis Rheum. 2010;62(9):2662–72.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  56. 56.

    Dissick A, et al. Association of periodontitis with rheumatoid arthritis: a pilot study. J Periodontol. 2010;81(2):223–30.

    PubMed  Article  Google Scholar 

  57. 57.

    Mercado FB, et al. Relationship between rheumatoid arthritis and periodontitis. J Periodontol. 2001;72(6):779–87.

    CAS  PubMed  Article  Google Scholar 

  58. 58.

    Scher JU, et al. Periodontal disease and the oral microbiota in new-onset rheumatoid arthritis. Arthritis Rheum. 2012;64(10):3083–94.

    PubMed  PubMed Central  Article  Google Scholar 

  59. 59.

    Lange L, et al. Symptoms of periodontitis and antibody responses to Porphyromonas gingivalis in juvenile idiopathic arthritis. Pediatr Rheumatol Online J. 2016;14(1):8.

    PubMed  PubMed Central  Article  Google Scholar 

  60. 60.

    Queiroz-Junior CM, et al. Experimental arthritis triggers periodontal disease in mice: involvement of TNF-α and the oral microbiota. J Immunol. 2011;187(7):3821–30.

    CAS  PubMed  Article  Google Scholar 

  61. 61.

    Ortiz P, et al. Periodontal therapy reduces the severity of active rheumatoid arthritis in patients treated with or without tumor necrosis factor inhibitors. J Periodontol. 2009;80(4):535–40.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  62. 62.

    Savioli C, et al. Persistent periodontal disease hampers anti-tumor necrosis factor treatment response in rheumatoid arthritis. J Clin Rheumatol. 2012;18(4):180–4.

    PubMed  Google Scholar 

  63. 63.

    Salemi S, et al. Could early rheumatoid arthritis resolve after periodontitis treatment only?: case report and review of the literature. Medicine (Baltimore). 2014;93(27):e195.

    Article  Google Scholar 

  64. 64.

    Karlson EW, Deane K. Environmental and gene-environment interactions and risk of rheumatoid arthritis. Rheum Dis Clin North Am. 2012;38(2):405–26.

    PubMed  PubMed Central  Article  Google Scholar 

  65. 65.

    Stolt P, et al. Quantification of the influence of cigarette smoking on rheumatoid arthritis: results from a population based case-control study, using incident cases. Ann Rheum Dis. 2003;62(9):835–41.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  66. 66.

    Majo J, Ghezzo H, Cosio MG. Lymphocyte population and apoptosis in the lungs of smokers and their relation to emphysema. Eur Respir J. 2001;17(5):946–53.

    CAS  PubMed  Article  Google Scholar 

  67. 67.

    Pryor WA, et al. Fractionation of aqueous cigarette tar extracts: fractions that contain the tar radical cause DNA damage. Chem Res Toxicol. 1998;11(5):441–8.

    CAS  PubMed  Article  Google Scholar 

  68. 68.

    Hughes DA, et al. Numerical and functional alterations in circulatory lymphocytes in cigarette smokers. Clin Exp Immunol. 1985;61(2):459–66.

    CAS  PubMed  PubMed Central  Google Scholar 

  69. 69.

    Tracy RP, et al. Lifetime smoking exposure affects the association of C-reactive protein with cardiovascular disease risk factors and subclinical disease in healthy elderly subjects. Arterioscler Thromb Vasc Biol. 1997;17(10):2167–76.

    CAS  PubMed  Article  Google Scholar 

  70. 70.

    Moszczynski P, et al. Immunological findings in cigarette smokers. Toxicol Lett. 2001;118(3):121–7.

    CAS  PubMed  Article  Google Scholar 

  71. 71.

    Onozaki K. Etiological and biological aspects of cigarette smoking in rheumatoid arthritis. Inflamm Allerg Drug Targets. 2009;8(5):364–8.

    CAS  Article  Google Scholar 

  72. 72.

    Heliovaara M, et al. Smoking and risk of rheumatoid arthritis. J Rheumatol. 1993;20(11):1830–5.

    CAS  PubMed  Google Scholar 

  73. 73.

    Karlson EW, et al. Gene-environment interaction between HLA-DRB1 shared epitope and heavy cigarette smoking in predicting incident rheumatoid arthritis. Ann Rheum Dis. 2010;69(1):54–60.

    CAS  PubMed  Article  Google Scholar 

  74. 74.

    Sugiyama D, et al. Impact of smoking as a risk factor for developing rheumatoid arthritis: a meta-analysis of observational studies. Ann Rheum Dis. 2010;69(1):70–81.

    CAS  PubMed  Article  Google Scholar 

  75. 75.

    Ruiz-Esquide V, et al. Anti-citrullinated peptide antibodies in the serum of heavy smokers without rheumatoid arthritis. A differential effect of chronic obstructive pulmonary disease? Clin Rheumatol. 2012;31(7):1047–50.

    PubMed  Article  Google Scholar 

  76. 76.

    Abhishek A, et al. Anti-TNF-α agents are less effective for the treatment of rheumatoid arthritis in current smokers. J Clin Rheumatol. 2010;16(1):15–8.

    CAS  PubMed  Article  Google Scholar 

  77. 77.

    Hyrich KL, et al. Predictors of response to anti-TNF-α therapy among patients with rheumatoid arthritis: results from the British Society for Rheumatology Biologics Register. Rheumatology (Oxford). 2006;45(12):1558–65.

    CAS  Article  Google Scholar 

  78. 78.

    Saevarsdottir S, et al. Patients with early rheumatoid arthritis who smoke are less likely to respond to treatment with methotrexate and tumor necrosis factor inhibitors: observations from the epidemiological investigation of rheumatoid arthritis and the Swedish rheumatology register cohorts. Arthritis Rheum. 2011;63(1):26–36.

    CAS  PubMed  Article  Google Scholar 

  79. 79.

    Ruiz-Esquide V, Sanmarti R. Tobacco and other environmental risk factors in rheumatoid arthritis. Reumatol Clin. 2012;8(6):342–50.

    PubMed  Article  Google Scholar 

  80. 80.

    Shchipkova AY, Nagaraja HN, Kumar PS. Subgingival microbial profiles of smokers with periodontitis. J Dent Res. 2010;89(11):1247–53.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  81. 81.

    Zambon JJ, et al. Cigarette smoking increases the risk for subgingival infection with periodontal pathogens. J Periodontol. 1996;67(10 Suppl):1050–4.

    CAS  PubMed  Article  Google Scholar 

  82. 82.

    Biedermann L, et al. Smoking cessation induces profound changes in the composition of the intestinal microbiota in humans. PLoS One. 2013;8(3):e59260.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  83. 83.

    Lin A, et al. Distinct distal gut microbiome diversity and composition in healthy children from Bangladesh and the United States. PLoS One. 2013;8(1):e53838.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  84. 84.

    Schnorr SL, et al. Gut microbiome of the Hadza hunter-gatherers. Nat Commun. 2014;5:3654.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  85. 85.

    Salonen A, de Vos WM. Impact of diet on human intestinal microbiota and health. Annu Rev Food Sci Technol. 2014;5:239–62.

    CAS  PubMed  Article  Google Scholar 

  86. 86.

    De Filippo C, et al. Impact of diet in shaping gut microbiota revealed by a comparative study in children from Europe and rural Africa. Proc Natl Acad Sci USA. 2010;107(33):14691–6.

    PubMed  PubMed Central  Article  Google Scholar 

  87. 87.

    David LA, et al. Diet rapidly and reproducibly alters the human gut microbiome. Nature. 2014;505(7484):559–63.

    CAS  PubMed  Article  Google Scholar 

  88. 88.

    Cotillard A, et al. Dietary intervention impact on gut microbial gene richness. Nature. 2013;500:585–8.

    CAS  PubMed  Article  Google Scholar 

  89. 89.

    Hagen KB, et al. Dietary interventions for rheumatoid arthritis. Cochrane Database Syst Rev. 2009;1:CD006400.

    PubMed  Google Scholar 

  90. 90.

    Kjeldsen-Kragh J, et al. Controlled trial of fasting and one-year vegetarian diet in rheumatoid arthritis. Lancet. 1991;338(8772):899–902.

    CAS  PubMed  Article  Google Scholar 

  91. 91.

    Skoldstam L, Hagfors L, Johansson G. An experimental study of a Mediterranean diet intervention for patients with rheumatoid arthritis. Ann Rheum Dis. 2003;62(3):208–14.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  92. 92.

    Holst-Jensen SE, et al. Treatment of rheumatoid arthritis with a peptide diet: a randomized, controlled trial. Scand J Rheumatol. 1998;27(5):329–36.

    CAS  PubMed  Article  Google Scholar 

  93. 93.

    Kavanaghi R, et al. The effects of elemental diet and subsequent food reintroduction on rheumatoid arthritis. Br J Rheumatol. 1995;34(3):270–3.

    CAS  PubMed  Article  Google Scholar 

  94. 94.

    Calder PC, Deckelbaum RJ. Omega-3 fatty acids: time to get the messages right! Curr Opin Clin Nutr Metab Care. 2008;11(2):91–3.

    PubMed  Article  Google Scholar 

  95. 95.

    Miles EA, Calder PC. Influence of marine n-3 polyunsaturated fatty acids on immune function and a systematic review of their effects on clinical outcomes in rheumatoid arthritis. Br J Nutr. 2012;107(Suppl 2):S171–84.

    CAS  PubMed  Article  Google Scholar 

  96. 96.

    De Caterina R, et al. The omega-3 fatty acid docosahexaenoate reduces cytokine-induced expression of proatherogenic and proinflammatory proteins in human endothelial cells. Arterioscler Thromb. 1994;14(11):1829–36.

    PubMed  Article  Google Scholar 

  97. 97.

    Kolahi S, et al. Fish oil supplementation decreases serum soluble receptor activator of nuclear factor-kappa B ligand/osteoprotegerin ratio in female patients with rheumatoid arthritis. Clin Biochem. 2010;43(6):576–80.

    CAS  PubMed  Article  Google Scholar 

  98. 98.

    Lo CJ, et al. Fish oil augments macrophage cyclooxygenase II (COX-2) gene expression induced by endotoxin. J Surg Res. 1999;86(1):103–7.

    CAS  PubMed  Article  Google Scholar 

  99. 99.

    Lo CJ, et al. Fish oil decreases macrophage tumor necrosis factor gene transcription by altering the NF κ B activity. J Surg Res. 1999;82(2):216–21.

    CAS  PubMed  Article  Google Scholar 

  100. 100.

    Trebble T, et al. Inhibition of tumour necrosis factor-α and interleukin 6 production by mononuclear cells following dietary fish-oil supplementation in healthy men and response to antioxidant co-supplementation. Br J Nutr. 2003;90(2):405–12.

    CAS  PubMed  Article  Google Scholar 

  101. 101.

    Ierna M, et al. Supplementation of diet with krill oil protects against experimental rheumatoid arthritis. BMC Musculoskelet Disord. 2010;11:136.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  102. 102.

    Leslie CA, et al. Dietary fish oil modulates macrophage fatty acids and decreases arthritis susceptibility in mice. J Exp Med. 1985;162(4):1336–49.

    CAS  PubMed  Article  Google Scholar 

  103. 103.

    Canning MO, et al. 1-α,25-Dihydroxyvitamin D3 (1,25(OH)(2)D(3)) hampers the maturation of fully active immature dendritic cells from monocytes. Eur J Endocrinol. 2001;145(3):351–7.

    CAS  PubMed  Article  Google Scholar 

  104. 104.

    Cantorna MT, Hayes CE, DeLuca HF. 1,25-Dihydroxycholecalciferol inhibits the progression of arthritis in murine models of human arthritis. J Nutr. 1998;128(1):68–72.

    CAS  PubMed  Google Scholar 

  105. 105.

    Feser M, et al. Plasma 25, OH vitamin D concentrations are not associated with rheumatoid arthritis (RA)-related autoantibodies in individuals at elevated risk for RA. J Rheumatol. 2009;36(5):943–6.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  106. 106.

    Patel S, et al. Association between serum vitamin D metabolite levels and disease activity in patients with early inflammatory polyarthritis. Arthritis Rheum. 2007;56(7):2143–9.

    CAS  PubMed  Article  Google Scholar 

  107. 107.

    Dhabhar FS, McEwen BS. Enhancing versus suppressive effects of stress hormones on skin immune function. Proc Natl Acad Sci USA. 1999;96(3):1059–64.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  108. 108.

    Selye H. A syndrome produced by diverse nocuous agents. Nature. 1936;138:32.

    Article  Google Scholar 

  109. 109.

    Dobbin JP, et al. Cytokine production and lymphocyte transformation during stress. Brain Behav Immun. 1991;5(4):339–48.

    CAS  PubMed  Article  Google Scholar 

  110. 110.

    Kiecolt-Glaser JK, et al. Psychosocial modifiers of immunocompetence in medical students. Psychosom Med. 1984;46(1):7–14.

    CAS  PubMed  Article  Google Scholar 

  111. 111.

    Lupien SJ, et al. Effects of stress throughout the lifespan on the brain, behaviour and cognition. Nat Rev Neurosci. 2009;10(6):434–45.

    CAS  PubMed  Article  Google Scholar 

  112. 112.

    McCray CJ, Agarwal SK. Stress and autoimmunity. Immunol Allerg Clin North Am. 2011;31(1):1–18.

    Article  Google Scholar 

  113. 113.

    Segerstrom SC, Miller GE. Psychological stress and the human immune system: a meta-analytic study of 30 years of inquiry. Psychol Bull. 2004;130(4):601–30.

    PubMed  PubMed Central  Article  Google Scholar 

  114. 114.

    Freier E, et al. Decrease of CD4(+)FOXP3(+) T regulatory cells in the peripheral blood of human subjects undergoing a mental stressor. Psychoneuroendocrinology. 2010;35(5):663–73.

    CAS  PubMed  Article  Google Scholar 

  115. 115.

    Pedersen AF, Zachariae R, Bovbjerg DH. Psychological stress and antibody response to influenza vaccination: a meta-analysis. Brain Behav Immun. 2009;23(4):427–33.

    CAS  PubMed  Article  Google Scholar 

  116. 116.

    Herrmann M, Scholmerich J, Straub RH. Stress and rheumatic diseases. Rheum Dis Clin North Am. 2000;26(4):737–63.

    CAS  PubMed  Article  Google Scholar 

  117. 117.

    Persson LO, Berglund K, Sahlberg D. Psychological factors in chronic rheumatic diseases—a review. The case of rheumatoid arthritis, current research and some problems. Scand J Rheumatol. 1999;28(3):137–44.

    CAS  PubMed  Article  Google Scholar 

  118. 118.

    Wolfe F, Pincus T. Listening to the patient: a practical guide to self-report questionnaires in clinical care. Arthritis Rheum. 1999;42(9):1797–808.

    CAS  PubMed  Article  Google Scholar 

  119. 119.

    Dekkers JC, et al. Biopsychosocial mediators and moderators of stress-health relationships in patients with recently diagnosed rheumatoid arthritis. Arthritis Rheum. 2001;45(4):307–16.

    CAS  PubMed  Article  Google Scholar 

  120. 120.

    Jacobs R, et al. Systemic lupus erythematosus and rheumatoid arthritis patients differ from healthy controls in their cytokine pattern after stress exposure. Rheumatology (Oxford). 2001;40(8):868–75.

    CAS  Article  Google Scholar 

  121. 121.

    van der Voort CR, et al. Noradrenaline induces phosphorylation of ERK-2 in human peripheral blood mononuclear cells after induction of α(1)-adrenergic receptors. J Neuroimmunol. 2000;108(1–2):82–91.

    Article  Google Scholar 

  122. 122.

    Conway SC, Creed FH, Symmons DP. Life events and the onset of rheumatoid arthritis. J Psychosom Res. 1994;38(8):837–47.

    CAS  PubMed  Article  Google Scholar 

  123. 123.

    Kopec JA, Sayre EC. Traumatic experiences in childhood and the risk of arthritis: a prospective cohort study. Can J Public Health. 2004;95(5):361–5.

    PubMed  Google Scholar 

  124. 124.

    Thomason BT, et al. The relation between stress and disease activity in rheumatoid arthritis. J Behav Med. 1992;15(2):215–20.

    CAS  PubMed  Article  Google Scholar 

  125. 125.

    Zautra AJ, et al. Daily fatigue in women with osteoarthritis, rheumatoid arthritis, and fibromyalgia. Pain. 2007;128(1–2):128–35.

    PubMed  Article  Google Scholar 

  126. 126.

    Potter PT, et al. Interpersonal workplace stressors and well-being: a multi-wave study of employees with and without arthritis. J Appl Psychol. 2002;87(4):789–96.

    PubMed  Article  Google Scholar 

  127. 127.

    Neufeld KM, et al. Reduced anxiety-like behavior and central neurochemical change in germ-free mice. Neurogastroenterol Motil. 2011;23(3):255–64.

    CAS  Article  PubMed  Google Scholar 

  128. 128.

    Nishino R, et al. Commensal microbiota modulate murine behaviors in a strictly contamination-free environment confirmed by culture-based methods. Neurogastroenterol Motil. 2013;25(6):521–8.

    CAS  PubMed  Article  Google Scholar 

  129. 129.

    Park AJ, et al. Altered colonic function and microbiota profile in a mouse model of chronic depression. Neurogastroenterol Motil. 2013;25(9):733-e575.

    PubMed  PubMed Central  Article  Google Scholar 

  130. 130.

    Topol IA, et al. Expression of XBP1 in lymphocytes of the small intestine in rats under chronic social stress and modulation of intestinal microflora composition. Fiziol Zh. 2014;60(2):38–44.

    CAS  PubMed  Google Scholar 

  131. 131.

    Naseribafrouei A, et al. Correlation between the human fecal microbiota and depression. Neurogastroenterol Motil. 2014;26(8):1155–62.

    CAS  PubMed  Article  Google Scholar 

  132. 132.

    Jeffery IB, et al. An irritable bowel syndrome subtype defined by species-specific alterations in faecal microbiota. Gut. 2012;61(7):997–1006.

    PubMed  Article  Google Scholar 

  133. 133.

    Lee KJ, Tack J. Altered intestinal microbiota in irritable bowel syndrome. Neurogastroenterol Motil. 2010;22(5):493–8.

    CAS  PubMed  Article  Google Scholar 

  134. 134.

    Tana C, et al. Altered profiles of intestinal microbiota and organic acids may be the origin of symptoms in irritable bowel syndrome. Neurogastroenterol Motil. 2010;22(5):512–9.

    CAS  PubMed  Google Scholar 

  135. 135.

    D’Mello C, et al. Probiotics improve inflammation-associated sickness behavior by altering communication between the peripheral immune system and the brain. J Neurosci. 2015;35(30):10821–30.

    PubMed  Article  CAS  Google Scholar 

  136. 136.

    Fuller R. Probiotics in man and animals. J Appl Bacteriol. 1989;66(5):365–78.

    CAS  PubMed  Article  Google Scholar 

  137. 137.

    WHO. Probiotics in food - Food and Agriculture Organization of the United Nations. 2006.

  138. 138.

    So JS, et al. Lactobacillus casei suppresses experimental arthritis by down-regulating T helper 1 effector functions. Mol Immunol. 2008;45(9):2690–9.

    CAS  PubMed  Article  Google Scholar 

  139. 139.

    So JS, et al. Lactobacillus casei potentiates induction of oral tolerance in experimental arthritis. Mol Immunol. 2008;46(1):172–80.

    CAS  PubMed  Article  Google Scholar 

  140. 140.

    Amdekar S, et al. Lactobacillus casei reduces the inflammatory joint damage associated with collagen-induced arthritis (CIA) by reducing the pro-inflammatory cytokines: Lactobacillus casei: COX-2 inhibitor. J Clin Immunol. 2011;31(2):147–54.

    PubMed  Article  Google Scholar 

  141. 141.

    Mandel DR, Eichas K, Holmes J. Bacillus coagulans: a viable adjunct therapy for relieving symptoms of rheumatoid arthritis according to a randomized, controlled trial. BMC Complement Altern Med. 2010;10:1.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  142. 142.

    Pineda Mde L, et al. A randomized, double-blinded, placebo-controlled pilot study of probiotics in active rheumatoid arthritis. Med Sci Monit. 2011;17(6):CR347–54.

    PubMed  Google Scholar 

  143. 143.

    Vaghef-Mehrabany E, et al. Probiotic supplementation improves inflammatory status in patients with rheumatoid arthritis. Nutrition. 2014;30(4):430–5.

    CAS  PubMed  Article  Google Scholar 

  144. 144.

    Sanges M, et al. Probiotics in spondyloarthropathy associated with ulcerative colitis: a pilot study. Eur Rev Med Pharmacol Sci. 2009;13(3):233–4.

    CAS  PubMed  Google Scholar 

  145. 145.

    Jenks K, et al. Probiotic therapy for the treatment of spondyloarthritis: a randomized controlled trial. J Rheumatol. 2010;37(10):2118–25.

    PubMed  Article  Google Scholar 

  146. 146.

    Berntson L, Hedlund-Treutiger I, Alving K. Anti-inflammatory effect of exclusive enteral nutrition in patients with juvenile idiopathic arthritis. Clin Exp Rheumatol. 2016 [Epub ahead of print].

  147. 147.

    Karin M, Jobin C, Balkwill F. Chemotherapy, immunity and microbiota–a new triumvirate? Nat Med. 2014;20(2):126–7.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  148. 148.

    Iida N, et al. Commensal bacteria control cancer response to therapy by modulating the tumor microenvironment. Science. 2013;342(6161):967–70.

    CAS  PubMed  Article  Google Scholar 

  149. 149.

    Viaud S, et al. The intestinal microbiota modulates the anticancer immune effects of cyclophosphamide. Science. 2013;342(6161):971–6.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  150. 150.

    Das KM, et al. The metabolism of salicylazosulfapyridine in ulcerative colitis. I. The relationship between metabolites and the response to treatment in inpatients. Gut. 1973;14(8):631–41.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  151. 151.

    Peppercorn MA, Goldman P. The role of intestinal bacteria in the metabolism of salicylazosulfapyridine. J Pharmacol Exp Ther. 1972;181(3):555–62.

    CAS  PubMed  Google Scholar 

  152. 152.

    Lee HJ, et al. The effects of an orally administered probiotic on sulfasalazine metabolism in individuals with rheumatoid arthritis: a preliminary study. Int J Rheum Dis. 2010;13(1):48–54.

    PubMed  Article  Google Scholar 

  153. 153.

    Rajca S, et al. Alterations in the intestinal microbiome (dysbiosis) as a predictor of relapse after infliximab withdrawal in Crohn’s disease. Inflamm Bowel Dis. 2014;20(6):978–86.

    PubMed  Google Scholar 

Download references

Authors’ contributions

APD and MMR participated in the design of the study and drafted the manuscript. BL and RD participated in the study coordination and helped to draft the manuscript. All authors read and approved the final manuscript.

Competing interests

The authors declare that they have no competing interests.

Author information



Corresponding author

Correspondence to Andrea Picchianti Diamanti.

Additional information

Andrea Picchianti Diamanti and M. Manuela Rosado contributed equally to this work

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (, which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Diamanti, A.P., Manuela Rosado, M., Laganà, B. et al. Microbiota and chronic inflammatory arthritis: an interwoven link. J Transl Med 14, 233 (2016).

Download citation


  • Microbiota
  • Chronic inflammatory arthritis
  • Immunosuppressant
  • Probiotic
  • Stress
  • Diet
  • Smoke