TNF gene polymorphisms in cystic fibrosis patients: contribution to the disease progression
© Shmarina et al.; licensee BioMed Central Ltd. 2013
Received: 20 November 2012
Accepted: 18 January 2013
Published: 23 January 2013
It is well known that the disease progression in cystic fibrosis (CF) patients may be diverse in subjects with identical mutation in CFTR gene. It is quite possible that such heterogeneity is associated with TNF-α and/or LT-α gene polymorphisms since their products play a key role in inflammation. The aim of the study was to investigate the possible roles of TNF gene polymorphisms in CF disease phenotype and progression.
198 CF patients and 130 control subjects were genotyped for both TNF-α–308GA and LT-α + 252AG polymorphisms.
The carriers of the TNF-α–308A allele more frequently had asthma as compared to patients homozygous for the TNF-α–308 G allele. In 9 of 108 (8.3%) of LTα + 252AA carriers, tuberculosis infection has been documented, whereas there was no case of tuberculosis among patients, either homozygous or heterozygous for LTα +252 G alleles (p = 0.01). We never observed virus hepatitis among LTα + 252GA carriers. The genotypes TNF-α–308GG – LT-α + 252AA and TNF-α–308GA – LT-α + 252AG were unfavorable with regard to liver disease development (both p < 0.05). It was also shown that neutrophil elastase activity was higher in sputum specimens from high TNF producers with genotypes TNF-α–308GA or LT-α + 252GG. In addition the carriers of such genotypes demonstrated a higher risk of osteoporosis development (p values were 0.011 and 0.017, respectively).
The carriers of genotypes, which are associated with higher TNF-α production, demonstrated increased frequency of asthma, higher levels of neutrophil elastase, and decrease of bone density. On the contrary, the carriers of genotypes associated with low TNF-α production showed a higher frequency of tuberculosis infection.
KeywordsTNF Gene polymorphism Cystic fibrosis Inflammation Liver disease Osteoporosis Tuberculosis Asthma
The Major Histocompatibility Complex (MHC) contains genes essential to both the adaptive and innate immune systems. In humans, these genes are referred to as HLA genes. Genes within the MHC traditionally divided into three different subregions. Class I and II regions contain genes encoded molecules that are responsible for antigen presentation to T cells. The human Class III region is the most gene-dense and highly conserved region of the human genome . Within this region TNF α and TNF-β (LT α) genes are located close to each other . The gene products tumor necrosis factor (TNF)-α and TNF-β, also known as lymphotoxin-α (LT-α), exhibit a broad spectrum of inflammatory and immunomodulatory activities. In particular, at the level of hypothalamus TNF-α stimulates hypothalamic-pituitary-adrenal axis, in the liver it stimulates acute phase response and increases insulin resistance in different tissues. At the level of macrophages it stimulates phagocytosis and the production of PGE2. In addition, TNF-α is a potent chemoattractant, which helps neutrophils to stick to the endothelial cells for migration. The effects of LT-α are similar substantially to
TNF-α, but LT-α is also important for the development of lymphoid organs [3–5]. It is obvious that both cytokines play an important role in pathogenesis of many inflammatory disorders including cystic fibrosis (CF), the most common autosomal recessive disease in Caucasian population. Although there is no doubt that etiology of CF is directly associated with the mutation in the cystic fibrosis transmembrane conductance regulator (CFTR) gene, it is very difficult to connect the disease clinical course with the type of mutation. Indeed, it is well known that CF progression may be diverse among either siblings or unrelated patients with identical mutation in CFTR gene. Apparently there are other factors including genetic ones, which may determine the course of disease [6, 7]. It is quite possible that such heterogeneity is associated with TNF α and/or LT α gene polymorphisms. A polymorphism in the promoter region of the
TNF α gene at nucleotide −308, relative to the transcription start site, may be important in determining the host TNF-α response . There are two alleles at the polymorphic site, TNF α 308 G and TNF α 308A. In normal population TNF α 308 G homozygosity is the predominant genotype. The TNF α 308GA polymorphism has a small, but significant, functional effect, with the A allele being associated with higher constitutive and inducible levels of transcription for TNF-α than the G allele . Within the first intron of the LT α gene at position +252, there is Nco I restriction polymorphism, consisting of a Guanine (LT α + 252 G) on one allele and an Adenine (LT α + 252Α) on the alternate allele. The presence of G at this position defines the allele which is less frequent one in white subjects and is associated with higher TNF-α and TNF-β production [10, 11]. Recently it has been shown that lung function is significantly lower in CF patients with TNF α 308A polymorphism . It has been also demonstrated that certain TNF α polymorphisms, other than −308 G/A polymorphic loci, are also associated with severity of CF lung disease in Czech and Belgian patients .
The aim of the study was to investigate the possible roles of TNF gene polymorphisms in CF disease phenotype and progression. To address this issue, we genotyped 198 CF patients and 130 control subjects for both TNF-α–308GA and LT-α + 252AG polymorphisms.
A total of 198 patients (mean age, 12.7 ± 0.6 years) from the Cystic Fibrosis Department of the Research Centre for Medical Genetics (Moscow) were enrolled into the study. CF was diagnosed by increased chloride concentrations (>60 mmol/l) in a sweat test, typical clinical symptoms of the disease, and/or detection of mutations in both CFTR alleles. Clinical, biological and functional data were obtained from hospital records from the previous 2 to 15 years. The data included date of birth, sex, CFTR genotype, pulmonary function tests, nutritional status, airways microbiology, CF and non-CF complications (cirrhosis, osteoporosis, pulmonary aspergillosis, asthma, tuberculosis, virus hepatitis, etc.). Lung function was assessed by spirometry in children >4 years during periods of clinical stability. Respiratory microbial flora was determined by microscopy and culture of lower respiratory tract secretions or throat swabs realized every routine visit to the CF Department. Chronic airway colonization with Pseudomonas aeruginosa was defined by the persistence of the pathogen in at least three airway samples for at least 6 months. 127 individuals were chronically colonized with the mucoid form of P. aeruginosa. The CFTR genotype in 138 CF patients was homozygous or heterozygous for F508del (ΔF508). Forced expiratory volume in 1 sec (FEV1) and forced vital capacity (FVC) values averaged 78.1 ± 4.4 and 70.1 ± 4.0% predicted, respectively. Characteristics of patient groups with different TNF gene polymorphisms are presented in Additional file 1: Table S1 and Additional file 2: Table S2. The patients were treated with basic therapy (mucolytics, multivitamins, high calorie diet, microspheric enzymes). Some individuals received anti-inflammatory therapy including azithromycin, nimesulide or/and prednisolone in low doses. In the case of acute pulmonary exacerbation, antibacterial treatment depended on the microbiology analysis of the sputum. Individuals with P. aeruginosa infection were treated by cephalosporins of third generation in combination with aminoglycosids or ciprofloxacin.
Blood collection and sputum processing
Blood was collected in tubes with heparin (25 IU/ml) by venipuncture. The sputum samples were placed into the container with ice and delivered to the laboratory within 1 h. The weight of each sputum sample was calculated. The same weight of phosphate-buffered saline without Ca2+ and Mg2+ was added to the sputum sample. The mixture placed on vortex for 10 sec and then on the rocker for 30 min. The sample was filtered through a 100 μm filter to remove the mucus. The filtrate has been centrifuged at 400 × g for 10 min at 4°C to pellet the cells. The supernatant has been harvested, aliquoted and stored at −60°C. Protein concentrations in the samples were measured by Bradford’s method.
Genomic DNA was extracted from anti-coagulated blood by a conventional proteinase K digestion/phenol-chloroform extraction method. Typing of TNF α promoter gene polymorphism (rs1800629, –308 G/A) was performed by polymerase chain reaction (PCR) amplification (using a 5′primer 5′-AGGCAATAGGTTTTGAGGGCCAT3′ and 5′-TCCTCCCTGCTCCGATTCCG3′ as the 3′primer) and NcoI digestion as described by Zhang DL et al. . PCR was carried out in 25-μL volume containing 0.5 μg of genomic DNA, 1 μM of each primer, 1.5 U of Taq DNA polymerase, 0.2 mM of each 2′-deoxiribonucleoside 5′-triphosphate, 67 mM Tris–HCl, pH 8.4, 2 mM MgCl2, 16.6 mM (NH4)SO4, and 20 μg/ml BSA. The cycling condition consisted of an initial activation of Taq polymerase at 94°C for 5 min followed by 35 cycles of denaturation at 94°C for 45 sec, annealing at 60°C for 45 sec, and extension at 72°C for 45 sec. The PCR products were digested with 8 U of Nco I at 37°C for 6 h. Digested DNA was analyzed on 8% polyacrylamide gels. Ethidium bromide staining of the gel demonstrated the original 107 basepairs fragment (homozygous patients for allele TNF α 308A, lacking NcoI site), three fragments of 102, 87 and 20 basepairs (heterozygous patients), or two fragments of 87 and 20 basepairs of size (homozygous patients for the allele TNF-α–308 G). The Nco I polymorphism in intron 1 of the LT α (rs909253, +252 A/G) was determined by PCR-restriction fragment length polymorphism method. A 782 basepairs fragment of the LT-α genomic sequence, including the polymorphic NcoI site, was amplified with a sense primer (5′- CCGTGCTTCGTGCTTTGGACTA 3′) and an antisense primer (5′- AGAGGGGTGGATGCTTGGGTTC3′) [14, 15]. PCR was carried out in 25-μL volume containing 0.5 μg of genomic DNA, 1 μM of each primer, 1.5 U of Taq DNA polymerase, 0.2 mM of each 2′-deoxiribonucleoside 5′-triphosphate, 67 mM Tris–HCl, pH 8.4, 2 mM MgCl2, 16.6 mM (NH4)SO4, and 20 μg/ml BSA. The cycling condition consisted of an initial activation of Taq polymerase at 94°C for 5 min followed by 35 cycles of denaturation at 94°C for 1 min, annealing at 50°C for 1 min, and extension at 72°C for 1 min. The PCR products were digested with 8 U of Nco I at 37°C for 6 h. Digested DNA was analyzed on 8% polyacrylamide gels. Ethidium bromide staining of the gel demonstrated the original 782 basepairs fragment (homozygous patients for allele LTα + 252A), three fragments of 782, 586 and 196 basepairs (heterozygous patients), or two fragments of 586 and 196 basepairs of size (homozygous patients for the allele LTα + 252 G).
Assay of human leukocyte elastase activity
The method is based on the ability of neutrophil elastase to interact with specific chromogenic substrate N-methoxysuccinyl-ala-ala-pro-val p-nitro anilide (Sigma, St Louis, MO, USA), forming a colored complex with maximum of absorbance at 410 nm . The standard assay was performed as described earlier . Finally, the value of neutrophil elastase activity was normalized to the protein content in each sample of the sputum extract.
Bone density assessment
Fifty four patients were undergone to bone mineral density (BMD, g/cm2) assessment. BMD was assessed at the lumbar spine (L1-L4) by dual energy x-ray absorptiometry using a Lunar Prodigy Bone Densitometer (GE Lunar Corporation, WI, USA). The results were expressed as Z score for age, sex and ethnicity according to the reference data given by the GE Lunar Corporation software. Z scores were calculated by subtracting the sex- and age-specific population mean BMD from the CF subject’s BMD; this value was then divided by the standard deviation (SD) of the sex and age-specific mean. Z scores were classified according to the standards recently proposed for pediatric subjects to define bone density reduction . We considered normal BMD a lumbar spine Z score above −1, mild BMD reduction a lumbar spine Z score lower than −1.0 but higher than −2, severe BMD reduction a lumbar spine Z score lower than −2.0.
The differences in allele/genotype frequencies between patients and controls were analyzed by the Fisher’s exact test. This test was also used for assessment of the differences in clinical course between patients with different genotypes. The levels of neutrophil elastase activity in sputa, the data of pulmonary function tests as well as z-score values were compared by unpaired Student’s t-test. P values less than 0.05 were considered significant.
The study was approved by the Ethics Committee of the Research Centre for Medical Genetics.
TNF gene polymorphisms in cystic fibrosis patients and healthy children
Allele frequency, G/A
LT-α + 252GG
LT-α + 252GA
LT-α + 252AA
Allele frequency, A/G
Associations with lung diseases
Contribution of individual TNF-α and LT-α gene polymorphisms in CF lung disease progression
TNF-α-308GA – LT-α + 252AA
96.9 ± 9.5 (n = 12)
91.5 ± 10.4 (n = 12)
TNF-α-308GG – LT-α + 252AA
78.8 ± 2.6 (n = 94)
70.3 ± 2.8 (n = 94)
TNF-α-308GA – LT-α + 252AG
72.5 ± 4.2 (n = 27)
66.4 ± 5.5 (n = 27)
TNF-α-308GG – LT-α + 252AG
78.1 ± 3.8 (n = 33)
72.6 ± 4.6 (n = 32)
TNF-α-308GG – LT-α + 252GG together with
TNF-α-308GA – LT-α + 252GG
76.1 ± 6.8 (n = 11)
69.3 ± 8.9 (n = 11)
Frequencies of concomitant diseases in CF patients with different TNF-α and LT-α gene polymorphisms
(n = 145)
(n = 53)
LT-α + 252AA
(n = 110)
LT-α + 252GA
(n = 67)
LT-α + 252GG
(n = 12)
PA/A,G/A = 0.013
PA/A,G/A = 0.035
PA/A,G/G+G/A = 0.007
PA/A,G/G+G/A = 0.088
We did not find any association between TNF α 308 polymorphism and tuberculosis susceptibility (see Table 3). However, in 9 of 108 (8.3%) of LT α + 252AA carriers tuberculosis infection has been documented. At the same time there was no case of tuberculosis among patients, both homozygous and heterozygous for LT α + 252 G alleles (p = 0.01) (see Table 3). The results are similar to the recent data of García-Elorriaga et al. showing that healthy subjects have had significantly high frequency of the LT α + 252A allele compared to groups of tuberculosis patients .
Associations with CF related liver diseases
Contribution of individual TNF-α and LT-α gene polymorphisms in CF associated liver disease
Cirrhosis (without PH)
TNF-α-308GA–LT-α + 252AA
TNF-α-308 G–LT- + 252AA
TNF-α-308GA–LT- + 252AG
TNF-α-308GG–LT- + 252AG
TNF-α-308GG–LT- + 252GG together with
TNF-α-308GA–LT- + 252GG
Associations with osteoporosis
Many studies have investigated the potential role of TNF-α and LT-α gene polymorphisms in the development of various diseases [19, 21, 26–30]. Several lines of evidence suggest that TNF genes may be implicated in the pathogenic mechanisms of inflammatory diseases. In case of CF we could say only about CF progression and development of the disease complications, but not about predisposition to suffer from CF, since the etiology of it is absolutely clear and associated with mutation in both CFTR alleles. It might be supposed that the influence of TNF gene polymorphisms upon the disease progression in CF patients is associated with high or low TNF production in the carriers of different TNF genotypes. Indeed, it was shown that allele TNF α
308A has been associated with higher inducible levels of gene transcription and TNF-α protein production [27, 31]. Among the polymorphisms of LT-α gene LT α + 252 G allele is associated with higher TNF-α and TNF-β production [10, 11]. Clinical observations indirectly confirm the data received in in vitro experiments on human cell lines. Thus, the results of meta-analysis carried out to explore the association between the TNF α –308GA polymorphism and asthma development suggested that TNF α –308A allele may be a risk factor in the etiology of the disease. In the subgroup analysis by atopic status, significant elevated risks of asthma were associated with A allele carriers in atopic population . It was also shown that the risk for the –308A allele in asthma was greater in females . On the contrary the TNF α 308GG genotype may have a protective role in asthma pathogenesis . At the same time, highly conserved ancestral haplotype (AH) 8.1 including among others TNF α 308A and LT α + 252 G alleles, is an important genetic modifier of lung disease in CF. Although 8.1 AH is associated with delayed onset of respiratory colonization with S. aureus and P. aeruginosa in young CF patients. An elevated inflammatory response being beneficial in the early stages of childhood CF becomes destructive as chronic infection ensure in older patients . On the contrary, primary biliary cirrhosis is associated with reduced carriage of the high production TNF α 308A allele . This is in keeping with a protective role of TNF-α against the disease. In whole, it is safe to say that TNF-α is a potent immunomediator and pro-inflammatory cytokine that has been implicated in the pathogenesis of a large number of human diseases.
Our data received in the cohort of CF patients confirm these observations. Thus, the carriers of genotypes, which are associated with higher TNF production, demonstrated more frequency of asthma, higher levels of neutrophil elastase, and decrease of bone density. At the same time, low TNF producers showed a higher frequency of tuberculosis infection. We believe that the CF complications associated with TNF gene polymorphisms are the same that TNF gene associated diseases in general population. Simply, there is a strong possibility that such genetically predisposed diseases will be diagnosed in CF subjects in time since most of them undergo a medical examination at least twice a year.
The work shows that the carriers of genotypes, which are associated with higher TNF production, demonstrate more frequency of asthma, higher levels of neutrophil elastase, and decrease of bone density. On the contrary, the carriers of genotypes associated with low TNF production show a higher frequency of tuberculosis and virus hepatitis infection. Thereby, TNF genotyping may be useful for prognosis and for choice of therapeutic strategy in CF patients.
We are indebted to all participating patients and their families, physicians, Moscow CF Centre staff for the time, cooperation and assistance.
This work was supported by Russian Foundation for Basic Research (Grant No 10-04-01342a) and in part by Ministry of Education and Science (Russia) (Grant No 8826).
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