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. 2017 Sep 13;8(55):94910–94919. doi: 10.18632/oncotarget.20862

Tumor necrosis factor-α −308 G/A polymorphism and risk of sepsis, septic shock, and mortality: an updated meta-analysis

Hao Wang 1,*, Shujin Guo 2,*, Chun Wan 1,*, Ting Yang 1, Ni Zeng 1, Yanqiu Wu 1, Lei Chen 1, Yongchun Shen 1, Fuqiang Wen 1
PMCID: PMC5706923  PMID: 29212277

Abstract

Background

The -308G/A polymorphism in the gene encoding tumor necrosis factor-α (TNF-α) has been implicated in sepsis risk in many studies but with variable results. This study aimed to comprehensively assess the evidence of association between this polymorphism and risk of sepsis and sepsis-related mortality.

Materials and Methods

PubMed, EMBASE and other databases were searched to identify relevant studies, and data were analyzed using Review Manager 5.0 and STATA 12.0.

Results

Data from 34 publications involving 12,284 subjects were meta-analyzed. Combined analysis revealed an association between TNF-α -308G/A gene polymorphism and risk of sepsis (AA+GA vs. GG, OR 1.35, 95% CI 1.10–1.67, P = 0.005). This association was observed in the Caucasian subgroup (OR 1.50, 95% CI 1.13–2.00, P = 0.006), but not in the Asian subgroup. Across the entire study population, the polymorphism was also significantly related to septic shock risk (OR 1.52, 95% CI 1.18–1.95, P = 0.001) but not to sepsis-related mortality (OR 0.99, 95% CI 0.71–1.40, P = 0.97).

Conclusions

This meta-analysis suggests that the -308G/A gene polymorphism in the TNF-α gene may contribute to risk of sepsis and septic shock, but not risk of mortality.

Keywords: sepsis, mortality, polymorphism, meta-analysis

INTRODUCTION

Sepsis, which is usually caused by infection and mediated by severe systemic inflammation, creates a heavy disease burden worldwide. It is more likely than any other infectious disease to impair quality of life and ability to work. Despite extensive progress in sepsis management in recent decades, sepsis-related mortality remains as high as 30–50% [1]. This may reflect the lack of specific therapeutic strategies, which has inspired a growing literature aimed at investigating the pathogenesis of sepsis in order to explore unique therapeutic targets.

Growing evidence indicates that inflammatory cytokines play vital roles in regulating the host immune response and amplifying inflammation in sepsis. Single-nucleotide polymorphisms (SNPs) in the genes encoding these cytokines may be related to the risk of sepsis, and may even play roles in its pathogenesis [2, 3]. Among these diverse cytokines, tumor necrosis factor-α (TNF-α) has attracted considerable attention. TNF-α is an intensively studied pro-inflammatory cytokine released mainly by activated neutrophils and macrophages that helps regulate the mammalian immune response and cellular homeostasis [4]. It stimulates various immune and structural cells, triggering release of large amounts of inflammatory mediators, which amplify the inflammatory response and cause severe systemic inflammation, eventually leading to sepsis [5].

Numerous studies have examined various SNPs in the TNF-α gene and their potential relationship to sepsis risk. In particular, several studies of the −308G/A polymorphism have suggested a relationship, but others have given contrasting results [6–9]. A systematic review in 2010 concluded that this polymorphism is associated with risk of sepsis, but not risk of sepsis-related mortality [10]. Because several studies on this potential association have been published since that review, we wanted to perform an updated meta-analysis in order to gain a comprehensive understanding of all available evidence through the end of 2016, including the studies analyzed in the 2010 review. We examined the potential associations of this polymorphism with risk of sepsis, septic shock and sepsis-related mortality.

RESULTS

Characteristics of included publications and studies

After systematic search of the literature and study selection, 34 publications (37 studies) involving 12,284 subjects from 16 countries were included in the meta-analysis (Table 1 and Supplementary Figure 1) [11–44]. These studies were published between 1999 and 2015. Fourteen studies were performed in Caucasians [22, 25–26, 28–30, 32–34, 36–37, 40–41, 43], 12 in Asians [11, 13–16, 19–20, 24, 31, 38–39, 44], and the remainder in populations of mixed or unknown ethnicity [12, 17–18, 21, 23, 27, 35, 42]. In contrast, the most recent systematic review and meta-analysis of associations between the −308G/A polymorphism and sepsis contained 25 studies involving 2,977 patients [10]. Studies incorporated since that last review are marked with an asterisk in Table 1.

Table 1. Clinical summary of included studies.

Author/Year Country Ethnicity Age group Patient group Sepsis type Subjects SNP method Sepsis risk reported Septic shock risk reported Mortality reported
Allam et al. 2015* Saudi Arabia Asian Neonate NICU S 137 Taqman Y N N
Cardoso et al. 2015* Brazil Mixed ≥ 18 ICU S,SS, SSH 72 Taqman N N Y
Feng et al. 2015* China Asian NA Pneumonia SS, SSH 277 Taqman N N Y
Gupta et al. 2015* India Asian ≥ 16 Trauma S 114 PCR-SSP Y N N
Baghel et al. 2014* India Asian ≥ 18 Post-operative S 239 PCR Y N N
Kothari et al. 2013* India Asian NA Critical ill patient S, SSH 400 PCR Y Y N
Susantitaphong et al. 2013* USA Mixed ≥ 18 AKI S 262 PCR Y N N
Azevedo et al. 2012* Brazil Mixed < 18 PICU patients S,SS, SSH 1003 Taqman Y N Y
Song et al. 2012* China Asian NA Trauma and Critical ill patient S,SS 1402 PCR Y N Y
Duan et al. 2011* China Asian ≥ 18 Trauma S 305 PCR-RFLP Y N N
Härtel et al. 2011* Germany Mixed Infant VLBWI S 2870 PCR Y N N
Paskulin et al. 2011* Brazil Caucasian ≥ 18 Critical ill patient S, SSH 520 PCR-RFLP Y Y Y
Carregaro et al. 2010 * Brazil Mixed ≥ 18 ICU patients S,SS, SSH 303 Taqman Y N N
Gu et al. 2010* China Asian ≥ 18 Trauma S 305 PCR Y N N
Menges et al. 2008 Germany Caucasian ≥ 18 Trauma S 230 PCR Y N N
Jessen et al. 2007 Denmark Caucasian ≥ 17 Gram negative S,SS, SSH 304 PCR N N Y
McDaniel et al. 2007 USA Mixed NA Trauma S 68 PCR Y N N
Garnacho-Montero et al. 2006 Spain Caucasian > 18 ICU S,SS, SSH 325 PCR Y Y Y
Schueller et al. 2006 Germany Caucasian < 32 weeks Premature infant S 169 PCR Y N N
Sipahi et al. 2006 Turkey Caucasian < 15 Critical ill patient SS 130 PCR Y N Y
Nakada et al. 2005 Japan Asian NA Critical ill patient S 411 PCR-RFLP Y N Y
Gordon et al. 2004 UK and Australia Caucasian ≥ 18 ICU patient SS, SSH 566 PCR-RFLP, PCR-SSP Y N Y
Jaber et al. 2004 USA Caucasian ≥ 18 ARF S 61 PCR-SSP Y N N
Balding et al. 2003 Ireland Caucasian < 16 Meningococaemia S 572 PCR Y N Y
Calvano et al. 2003 Spain Mixed > 21 Post-operative S, SSH 44 PCR Y Y Y
Schaaf et al. 2003 Germany Caucasian NA Pneumococcal infection S,SS, SSH 118 PCR Y Y Y
Treszl et al. 2003 Hungary Caucasian Infant LBWI S 103 PCR-RFLP Y N N
Zhang et al. 2003 China Asian NA ASP SSH 148 PCR Y Y N
Zhang et al. 2003 China Asian NA ABP SSH 120 PCR Y Y N
Majetschak et al. 2002 Netherlands Caucasian ≥ 18 Trauma SS 70 PCR Y N N
Appoloni et al. 2001 Belgium Caucasian NA ICU patient SSH 34 PCR N N Y
Waterer et al. 2001 Australia Mixed NA CAP S 280 PCR Y N Y
Mira et al. 1999 France Caucasian NA ICU patient SSH 176 PCR Y Y Y
Nuntayanuwat et al. 1999 Thailand Asian NA Meliodosis S 146 PCR-RFLP Y N N
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ABP: Acute biliary pancreatitis; AKI: Acute kidney injury; ARF: Acute renal failure; ASP: Acute severe pancreatitis; CAP: Community acquired pneumonia; ICU : Intensive care unit; LBWI: Low birth weight infant; NA: Not available; PCR: Polymerase Chain Reaction; PCR-RFLP: Polymerase chain reaction-restriction fragment length polymorphism; PCR-SSP: Polymerase chain reaction -sequence-specific amplification; PICU: Pediatric intensive care unit; S: Sepsis; SS: Severe sepsis; SSH: Septic shock; N: No; Y: Yes; VLBWI: Very Low birth weight infant; *: Studies which were newly included in the review when compare with previous meta-analysis.

Of the 34 publications, 30 (33 studies) examined correlations between the TNF-α −308 A/G polymorphism and risk of sepsis [11, 14–25, 27–40, 42–44], 8 examined correlations between this polymorphism and risk of septic shock [16, 22, 28, 35–36, 38–39, 43], and 16 examined correlations between this polymorphism and risk of sepsis-related mortality [12–13, 18–19, 22, 26, 28, 30–32, 34–36, 41–43]. Genotype distributions in case and control groups are shown in Supplementary Table 1. Distributions in control groups met the criteria of Hardy-Weinberg equilibrium (HWE) in 24 publications (71%).

Study quality is assessed in Supplementary Table 2. Most publications (26 of 34, 76%) provided detailed information about genotyping primers, and 32 publications reported the definition of sepsis, usually based on the definitions recommended by the American College of Chest Physicians/Society of Critical Care Medicine or by the International Sepsis Definitions Conferences [45–46]. On the other hand, fewer than one-third of publications (10 of 34, 29%) reported procedures for blinding.

TNF-α −308 A/G polymorphism and sepsis risk

A total of 33 studies involving 11,590 subjects evaluated relationships between the TNF-α −308 A/G polymorphism and overall risk of sepsis, which included sepsis, severe sepsis, and septic shock. The dominant model (AA+GA vs. GG) indicated a significant association between the TNF-α −308 A/G polymorphism and sepsis risk (OR 1.35, 95% CI 1.10–1.67, P = 0.005; Figure 1). However, meta-analysis of only the 23 studies meeting HWE criteria showed no such association based on the dominant model (OR 1.28, 95% CI 0.99–1.64, P = 0.06).

Figure 1. Meta-analysis to evaluate the association between the TNF-α -308 A/G polymorphism and sepsis risk (AA+GA vs. GG).

Figure 1

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The size of the square is proportional to the weight of each study; horizontal lines represent the 95% CI.

Applying the dominant model to the subgroup of Caucasian subjects revealed a significant association between the polymorphism and sepsis risk (OR 1.50, 95%CI 1.13–2.00, P = 0.006; Figure 2). However, this association was not observed in the subgroup of Asian subjects (OR 1.56, 95% CI 0.97–2.51, P = 0.07). Results of meta-analyses assessing relationships between the −308 A/G polymorphism and overall risk of sepsis are summarized in Table 2.

Figure 2. Meta-analysis to evaluate the association between the TNF-α -308 A/G polymorphism and sepsis risk in Caucasian (AA+GA vs. GG).

Figure 2

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The size of the square is proportional to the weight of each study; horizontal lines represent the 95% CI.

Table 2. Summary of statistical results.

Statistical model Group Number of studies Q test P value I2 Model OR (95% CI) P value
AA+GA vs. GG Overall Sepsis 33 P < 0.00001 73% Random Model 1.35 [1.10, 1.67] 0.005
Studies with HWE 23 P < 0.00001 78% Random Model 1.28 [0.99, 1.64] 0.06
Ethnicity
Caucasian 14 P = 0.003 58% Random Model 1.50 [1.13, 2.00] 0.006
Asian 11 P < 0.00001 83% Random Model 1.56 [0.97, 2.51] 0.07
Septic shock 8 P = 0.17 32% Fixed Model 1.52 [1.18, 1.95] 0.001
Mortality 16 P = 0.03 45% Random Model 0.99 [0.71, 1.40] 0.97
AA vs. GA+GG Overall Sepsis 25 P = 0.002 54% Random Model 1.14 [0.74, 1.74] 0.55
Studies with HWE 21 P = 0.006 53% Random Model 1.09 [0.67, 1.75] 0.74
Ethnicity
Caucasian 9 P = 0.58 0% Fixed Model 1.01 [0.61, 1.66] 0.97
Asian 9 P < 0.0001 78% Random Model 1.57 [0.55, 4.49] 0.40
Septic shock 4 P = 0.55 0% Fixed Model 2.78 [1.20, 6.40] 0.02
Mortality 12 P = 0.49 0% Fixed Model 1.75 [0.97, 3.18] 0.06
AA vs GG Overall Sepsis 25 P < 0.0001 66% Random Model 1.13 [0.68, 1.86] 0.64
Studies with HWE 21 P < 0.0001 67% Random Model 1.07 [0.60, 1.91] 0.81
Ethnicity
Caucasian 9 P = 0.56 0% Fixed Model 1.06 [0.64, 1.74] 0.83
Asian 9 P < 0.00001 85% Random Model 1.56 [0.42, 5.75] 0.51
Septic shock 4 P = 0.55 0% Fixed Model 2.84 [1.22, 6.59] 0.02
Mortality 12 P = 0.50 0% Fixed Model 1.60 [0.88, 2.92] 0.12
A vs G Overall Sepsis 27 P < 0.00001 77% Random Model 1.17 [0.96, 1.42] 0.12
Studies with HWE 21 P < 0.00001 79% Random Model 1.13 [0.90, 1.41] 0.30
Ethnicity
Caucasian 9 P = 0.59 0% Fixed Model 1.13 [0.96, 1.32] 0.13
Asian 11 P < 0.00001 87% Random Model 1.46 [0.91, 2.32] 0.12
Septic shock 4 P = 0.66 0% Fixed Model 1.30 [0.97, 1.75] 0.08
Mortality 12 P = 0.18 27% Fixed Model 0.91 [0.72, 1.15] 0.42
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TNF-α −308 A/G polymorphism and septic shock risk

Eight studies involving 1,480 subjects examined association of the TNF-α −308 A/G polymorphism with septic shock risk. Meta-analysis revealed a significant association based on the dominant model (OR 1.52, 95% CI 1.18–1.95, P = 0.001; Figure 3).

Figure 3. Meta-analysis to evaluate the association between the TNF-α -308 A/G polymorphism and septic shock risk (AA+GA vs. GG).

Figure 3

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The size of the square is proportional to the weight of each study; horizontal lines represent the 95% CI.

TNF-α −308 A/G polymorphism and sepsis-related mortality

A total of 16 studies involving 2,850 patients with sepsis, of whom 2,064 survived through the end of the study and 786 did not, examined the potential relationship between the TNF-α −308 A/G polymorphism and sepsis-related mortality. None of the four statistical models revealed significant differences in genotype frequencies at the TNF-α −308 A/G polymorphism between survivors and non-survivors (Table 2). Similar results were obtained for Caucasian and Asian subgroups (data not shown).

Analysis of sensitivity and publication bias

To assess the robustness of our meta-analysis results, we sequentially excluded each study from the complete set of 33 examining sepsis risk, and then we re-calculated ORs. In each case, the results were similar to those obtained with the complete set of studies (Figure 4). Begg’s funnel plot showed a symmetrical pattern for the dominant genetic model (AA+GA vs. GG) (Figure 5), and Egger’s test gave a P value of 0.63, suggesting a lack of publication bias.

Figure 4. Sensitivity analysis of included studies examining the TNF-α promoter -308 A/G polymorphism and sepsis risk (CC vs. CG + GG).

Figure 4

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Figure 5. Begg’s funnel plot to detect publication bias in studies examining the TNF-α promoter -308 A/G polymorphism and sepsis risk (CC vs. CG + GG).

Figure 5

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DISCUSSION

Our meta-analysis of the most complete and up-to-date set of studies published so far on potential relationships between the TNF-α −308 A/G polymorphism and sepsis suggests that this polymorphism significantly contributes to the risk of sepsis and septic shock, but not to risk of sepsis-related mortality. Thus, this polymorphism appears to be a risk factor for sepsis, but not a mortality predictor.

TNF-α, one of the most studied pro-inflammatory cytokines implicated in diverse diseases, is known to contribute to sepsis. The −308 A/G polymorphism in the TNF-α gene has been shown to up-regulate the gene’s transcription [47], ultimately leading to higher levels of expressed protein in serum [15–16, 19]. Elevated TNF-α levels enhance the inflammatory response and lead to the multiple phenotypic and functional characteristics of sepsis; they also induce apoptosis and reduce immune responsiveness and cell function [48–49].

An association between the −308 A/G polymorphism and sepsis risk was observed in the entire study population, as well as in the subgroup of Caucasian participants. However, this association was not observed in the subgroup of Asian participants. This may reflect different prevalence of the SNPs in different ethnic groups. It may also mean that genetic risk factors for sepsis differ across ethnic groups. Further research should examine the possibility of ethnic bias in the associations of sepsis risk with certain alleles/genotypes at the −308 A/G polymorphism in the TNF-α gene, with certain alleles/genotypes at other SNPs in the TNF-α gene, and with SNPs in other genes.

A subtype of sepsis is septic shock, which involves circulatory, cellular, and metabolic abnormalities. Septic shock is associated with higher risk of mortality than sepsis alone [50]. Our meta-analysis indicated a stronger association of the TNF-α −308 A/G polymorphism with risk of septic shock (OR 1.52, 95% CI 1.18–1.95) than with risk of sepsis (OR 1.35, 95% CI 1.10–1.67). However, the meta-analysis did not indicate a significant association between the polymorphism and sepsis-related mortality (OR 0.99, 95% CI 0.71–1.40). One possible explanation for the lack of association with mortality is that the SNPs in the TNF-α gene that influence protein expression differ between ethnic groups or even between individuals. Another explanation is environmental differences that may influence TNF-α transcription. It is also possible that, since other cytokines help to mediate sepsis, polymorphism in the TNF-α gene by itself is insufficient to significantly affect risk of sepsis-related death. Whether sepsis ultimately leads to mortality can also depend on numerous clinical factors, which cannot be predicted from genetics [51]. Our meta-analysis suggests that future research on risk factors of sepsis-related mortality may wish to focus on other SNPs in the TNF-α gene or on SNPs in other cytokine genes.

Our meta-analysis has several limitations. First, although we added several new studies relative the most recent meta-analysis from 2010 [10], the numbers of studies and subjects in our work were still limited. This may reduce the statistical power for identifying possible associations between TNF-α −308 A/G polymorphism and sepsis, especially septic shock, for which the meta-analysis included only 8 studies. Second, our meta-analysis included only studies in Asians, Caucasians, and populations of mixed or unknown ethnicity. Future work should examine this polymorphism in other populations, such as Hispanics, Africans, and Native Americans. Third, we reviewed only English-language publications. It is possible that our results would have been different if we had searched for literature in other languages. Fourth, we looked at only one SNP in only one sepsis-related gene. The available evidence, including results from the present meta-analysis, highlight the importance of taking into account the potential contributions of other cytokines and signaling pathways in sepsis risk.

Indeed, sepsis is a complicated clinical syndrome arising through interactions between genotype and environment [52]. Future studies should aim to avoid false associations resulting from ethnic differences in genotype frequencies and disease prevalence. Studies should also pursue high methodological quality, and genotype distributions in the controls should be confirmed to satisfy HWE. Functional studies that take into account genetic and environmental factors should investigate how the TNF-α −308 A/G polymorphism affects TNF-α production and the cytokine’s role in pathogenesis of sepsis. The results of this work may help improve risk assessment and precision treatment of patients with sepsis.

MATERIALS AND METHODS

This meta-analysis was performed according to the guidelines of the Preferred Reporting Items for Systematic Reviews according to standard methods recommended for genetic meta-analysis [53–54]. Institutional review board approval was waived since this was a secondary data analysis.

Literature search

Two authors (HW and SG) independently searched PubMed, EMBASE, Scopus, and Web of Science databases up to December 2016 in order to identify studies testing the association between the TNF-α −308 A/G polymorphism and sepsis risk. The following search terms were used: “Sepsis or severe sepsis or septic shock or septicemia or infection-related systemic inflammatory response syndrome” and “tumor necrosis factor-α or tumor necrosis factor-alpha or TNF-α” and “polymorphism or variant or mutation”. The reference lists of identified original studies and review articles were manually reviewed to find additional relevant publications.

Study selection

Studies were included in the review if they (1) evaluated the association of the TNF-α −308 A/G polymorphism with risk of sepsis or septic shock or risk of sepsis-related mortality, (2) had a case-control design, (3) reported genotype distributions for case and control groups in a way that allowed estimation of odds ratios (ORs) and 95% confidence intervals (CIs), and (4) were published in English. When duplicate publications involved the same or overlapping data sets, only the study with the larger number of participants was included. If one article contained training and validation groups, each was treated as a separate study.

Abstracts and reviews were excluded from consideration, as were studies that failed to report genotype frequencies. Studies that included patients with sepsis caused by non-bacterial infection were excluded.

Data extraction

Two authors (HW and SG) independently extracted data from the final set of included studies using a pre-designed table. The following data were collected: name of first author, year of publication, country of origin, ethnicity of subjects, source of subjects, sample size, sepsis type, genotyping method, and genotype frequencies in case and control groups. Any disagreement was resolved through discussion with the third author (CW).

Assessment of study quality

The following questions were assessed for each study: (1) whether the genotype distribution in control groups was consistent with HWE; (2) whether the study listed primer sequences; (3) whether data analysts were blind to genotype and clinical status; and (4) whether a specific definition of sepsis was reported.

Statistical analysis

Strength of the associations of the TNF-α −308 A/G polymorphism with risk of sepsis, septic shock and sepsis-related mortality was assessed using ORs and 95% CIs. Significance of the pooled OR was evaluated using the Z-test, with P < 0.05 defined as the significance threshold. Results were calculated according to four genetic models: dominant, AA+AG vs. GG; recessive, AA vs. AG+GG; additive, AA vs. GG; and allelic contrast, A vs. G. Subgroup analyses based on ethnicity were also performed.

Heterogeneity was evaluated using the χ2-based Q statistic as well as the I2 statistic, with P < 0.10 defined as the significance threshold. If P ≥ 0.10, then data were meta-analyzed using a fixed-effects model; otherwise, a random-effects model was used. Publication bias was assessed using Begg’s funnel plots and Egger’s test [55–56]. Sensitivity analysis was carried out by sequentially excluding individual studies and re-calculating the ORs. All statistical tests were performed using Revman 5.0 (Cochrane Collaboration, Oxford, UK) and STATA 12.0 (Stata Corp., College Station, TX, USA).

SUPPLEMENTARY MATERIALS FIGURE AND TABLES

Acknowledgments

We thank Raven Riordan from University of Missouri for the review of the language.

Abbreviations

TNF-α

tumor necrosis factor-α

OR

odds ratio

CI

confidence interval

SNP

single nucleotide polymorphism

HWE

Hardy-Weinberg equilibrium

Author contributions

HW, SG-, and CW conceived the article, systematic review, meta-analysis, drafted and revised the manuscript. TY, NZ, YW-, LC and FW- systematic review, drafted and revised the manuscript. YS- Guarantor of the paper, taking responsibility for the integrity of the work as a whole, from inception to published article.

CONFLICTS OF INTEREST

None.

FUNDING

This work was supported by grants from the National Natural Science Foundation of China (81230001, 81300032), and a Project Grant from the Science and Technology Pillar Program of the Department of Science and Technology of Sichuan Province (2015SZ0151). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

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