- Research article
- Open Access
- Open Peer Review
Association between tumor necrosis factor alpha-238G/a polymorphism and tuberculosis susceptibility: a meta-analysis study
© Zhang et al.; licensee BioMed Central Ltd. 2012
- Received: 22 April 2012
- Accepted: 26 November 2012
- Published: 28 November 2012
Tumor necrosis factor alpha (TNF-α) plays a key role in the containment of tuberculosis. The relationship between the TNF -238G/A polymorphism and tuberculosis susceptibility remains inconclusive. A comprehensive meta-analysis was made to provide a more precise estimate of the relationship between them.
Multiple search strategies were used. A fixed effect model was takentook to estimate pooled OR with 95% confidence interval (CI) for the association between the TNF -238G/A polymorphism and tuberculosis susceptibility. The Chi-squared-based Q-test and I-squaredI 2 statistic were calculated to examine heterogeneity. Begg’s funnel plot and Egger’s test were used to assess publication bias.
9 case-control studies were included in this meta-analysis. No significant heterogeneity was demonstrated, and no obvious publication bias was detected among the included studies. The meta-analysis indicated that there was no significant association between the TNF -238G/A polymorphism and tuberculosis susceptibility (GA+AA versus GG model: OR=1.005, 95% CI: 0.765-1.319; A versus G model: OR=1.000, 95% CI: 0.769-1.300). In the subgroup analyses by ethnicity, types of TB and human immunodeficiency virus (HIV) status, no significant association were identified.
The meta-analysis involving 2723 subjects did not detect any association between the TNF -238G/A polymorphism and tuberculosis susceptibility.
Tuberculosis (TB) is still a high-burden disease in present society. In spite of the preventability and curability of TB, there still remained 8.8 million incident cases, 12.0 million prevalent cases, and 1.4 million deaths in 2010 on a global scale . Among those who are infected (approximately one third of the whole population), only an estimated 10% will develop clinical signs of disease while the majority of individuals are naturally resistant to TB . Apart from environmental factors, genetic variability is regarded to be responsible for the advancement of infection . Some gene polymorphisms have been demonstrated to be associated with TB susceptibility [4–6]. These significant findings may lead to the development of new TB preventive or therapeutic strategies .
Tumor necrosis factor alpha (TNF-α) is an immunoregulatory cytokine, which is produced primarily by monocytes and macrophages . It plays an essential role in the proper regulation of host defense to tuberculosis in both animal models and human models [9, 10]. The TNF-α gene cluster, which encodes the cytokine TNF-α, is located within the major histocompatibility complex (MHC) between human leukocyte antigen-B (HLA-B) and the HLA class III genes . The single nucleotide polymorphisms (SNPs) as the most common genetic variation of TNF-α was considered to substantially influence the production capacity of TNF-α . A few of them have been identified at positions−238, −308, −857, −863, and −1031 [13, 14]. One of the extensively studied polymorphisms was at -238G/A position .
So far, there have been an increasing trend of researches conducted to assess the relationship between TNF-238 polymorphism and TB susceptibility, but the results remain inconclusive. Some studies have identified the significant association between the TNF-238G/A polymorphism and TB susceptibility [16, 17]. Meanwhile, a contrary result emerged in a number of studies with TNF-238G/A polymorphism being not associated with TB [13, 18–21]. Thus, we carried out a meta-analysis in order to estimate the association between the TNF-238G/A polymorphism and susceptibility to TB.
A literature search was conducted among six English databases (PubMed, Embase, Web of Science, Science Direct, SpringerLink and EBSCO) and two Chinese databases (Wanfang and Chinese National Knowledge Infrastructure databases) to identify studies involving association between tuberculosis susceptibility and TNF-238G/A polymorphism through October 2011. The search terms used (both in English and Chinese databases) were as follows: tuberculosis or TB or mycobacteria, polymorphism or variant or mutation or susceptibility, “tumor necrosis factor” or TNF or cytokine or gene.
Studies were included in the analysis if (1) evaluated the association between TNF -238G/A polymorphism and TB susceptibility, (2) was a case-control study, (3) it provided genotype frequencies or numbers for cases and controls to calculate odds ratios (OR), and (4) genotype distributions in control group must be consistent with Hardy–Weinberg equilibrium (HWE; p<0.05). We excluded studies if (1) the studies were reviews or abstracts, (2) Its targets were animals rather than human beings, (3) genotype frequencies or numbers were not reported, (4) studies were conducted among the patients with some potential confounding diseases, such as pneumoconiosis. For overlapping and republished studies, only the most recent or complete study was included. Two of the researchers independently reviewed the full text of all studies to ensure that the studies could meet preset criteria for the inclusion. Any discordance between the two researchers was subsequently resolved through discussion.
Two reviewers independently collected the data, cross-checked and reached a consensus on all items. The following items were extracted from each study: First author, publication year, original country, ethnicity, sample size, diagnostic methods of cases, selection criteria of controls, genotype and allele number in cases and controls.
The strength of association between TNF -238G/A polymorphism and TB susceptibility was estimated by OR with the corresponding 95% confidence interval (CI). The genetic model evaluated for pooled OR was as follows: AA + AG versus GG and A versus G. The significance of the pooled OR was determined by Z test. Heterogeneity among studies was checked by a χ2-based Q test and I2 statistic [22, 23]. When the heterogeneity was not considered significant, the pooled OR was calculated by the fixed-effects model (Mantel–Haenszel)[24, 25]. Otherwise a random-effects model was used (DerSimonian and Laird) . Subgroup analysis was performed by ethnicity, HIV status and TB type to produce accurate results. Sensitivity analysis was conducted by omitting one single study each time, and leaving out studies specifically on smear-confirmed TB, and restricting the analysis specifically on culture-confirmed TB. Publication bias was examined visually in a Begg’s funnel plot and Egger’s test [26, 27]. HWE was tested by Fisher’s exact test via Genepop on web [28, 29], and other analyses were performed using STATA version 12.0 software (Stata Corporation, College Station, TX, USA). All tests were two-sided and the significance levels was 0.05.
Selection process and characteristics of eligible studies
Characteristics of included studies
Diagnosis of cases
Selection of controls
Smear, culture, radiological, clinical response confirmed PTB
Normal healthy spouses and Tuberculosis Research Centre staff, ethnicity and area of residence matched
Smear, culture, histology confirmed TB, HIV negative
No history or symptom of TB; not first or second degree relatives of the cases; age, sex and area of residence matched
Smear, culture, clinical and radiological response confirmed PTB, HIV negative
Unrelated healthy blood bank donors
Smear, culture, pathological, radiological , clinical response confirmed PTB,EPTB
No history of TB noted on chest radiography, age and sex matched
Republic of Macedonia (Caucasian)
Smear/culture confirmed PTB
No family history of TB, nationality and area of residence matched
Smear and radiological confirmed PTB
Nurses, doctors and TB staff with no laboratory or clinical sign of diseases development, age, sex and nationality matched
Smear, culture, histology, radiological , clinical response confirmed PTB,EPTB,HIV negative without chronic illness
Without a family history of TB or any other related disease and a possibility of a latent tuberculosis infection, socioeconomic status and ethnicity matched
Smear and culture confirmed PTB
No history of TB
Pathological examination and clinical response confirmed EPTB
Genotype and allele distributions in cases and controls
Pooled ORs of association between TNF-238G/A polymorphism and TB susceptibility
GA+AA versus GG
A versus G
We excluded each case-control study step by step and removing the TB patient confirmed by smear to test the sensitivity of the meta-analysis, and the corresponding pooled ORs received were not substantially different. (data not shown).
The hypothesis that TNF gene polymorphisms may increase the risk of developing TB has prompted a number of studies [7, 36]. However, currently available published data on the association between the TNF-238G/A and the risk of TB provided contradictory results. On the one hand, positive associations might be spurious. On the other hand, the negative results might be a consequence of inadequate statistical power . Therefore, this meta-analysis was conducted, and no association between the TNF-238G/A and TB susceptibility was identified.
The failure of this meta-analysis which did not detect any association between TNF -238 G/A polymorphism and TB susceptibility was attributed to several factors. First of all, other polymorphisms within the TNF gene impacting the production capacity of TNF-α may also affect the susceptibility to TB. The association between -308 polymorphism of TNF-α and TB susceptibility has been identified recently . Moreover, it may be explained on the basis of linkage disequilibrium between other SNP that are directly linked to TB and TNF-α 238 site. The infrequent allele A of TNF-238 was in strong linkage disequilibrium with HLA-A1, and the latter one has been proved to be associated with bacteriological relapse . In addtion, it may be on account of the opposing effect that exists between TNF and other genes. The balance between TNF-α and IL-10 was considerate to be important for control or dissemination of TB .
There are some limitations in this meta-analysis. Firstly, the cases were not uniformly defined. In some studies, cases were defined using smear microscopy and radiology while other studies used culture-confirmed TB as cases. Three of nine studies provided HIV status of cases, and it is better for the future researchers to mention their cases’ HIV status in the study since coinfections may influence the genetic susceptibility to TB. Secondly, a few studies described source of the controls, and it is important to note that population-based study may not have the same representativeness with hospital-based study. Thirdly, the subgroup analyses were only implemented among some explicitly described population due to the lack of original studies. Studies conduct among Non-Asian population, EPTB patients and HIV-positive TB patients were needed in the future.
Despite these limitations, there are some advantages in the meta-analysis. First, the HWE test was performed for the control groups in each study, and three studies that deviated from HWE were excluded in the process to ensure the homogeneity of the population genetic background. Second, Begg’s and Egger’s tests did not find any publication bias, indicating that the results were unbiased. Third, subgroup analyses and sensitivity analyses were conducted and the results were stable. As far as we were concerned, this is the first meta-analysis carried out so far to investigate the association of the TNF-238G/A polymorphism with TB.
No apparent association between TNF-238G/A and TB susceptibility was identified in the meta-analysis. In the future, well-designed studies with large sample size among Non-Asian and EPTB population and with multiple SNPs are still needed due to the lack evidence in these fields.
We would like to thank everyone who helped with this study. The research was supported by no fund.
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