Dataset Information

Associations between interleukin-1 gene polymorphisms and sepsis risk: a meta-analysis.

ABSTRACT:

Background

Previous epidemiological studies have presented conflicting evidence regarding associations between interleukin-1 (IL-1) polymorphisms and sepsis susceptibility. We have performed a meta-analysis to evaluate possible associations between IL-1 polymorphisms and sepsis risk.

Methods

Eligible literature was retrieved from PubMed, Embase and Web of Knowledge databases until Jun 15, 2013. The pooled odds ratio (OR) and 95% confidence interval (CI) were calculated using random-effects model in the overall and subgroup analysis based on ethnicity, sepsis severity and quality score.

Results

Eighteen studies addressing five IL-1 polymorphisms were included in this meta-analysis. For IL-1A-889 (rs1800587) polymorphism, significant association was observed in overall comparison for allelic effect (OR = 1.47, 95% CI = 1.01-2.13, P = 0.04). There were no significant associations between either IL-1B-511 (rs16944) or IL-1B-31 (rs1143627) and sepsis susceptibility in overall or subgroup analyses. For IL-1B + 3594 (rs143634) polymorphism, genotype TT decreased sepsis risk in overall analysis (OR = 0.59, 95% CI = 0.36-0.97, P = 0.04), as well as in Caucasian (OR = 0.57, 95% CI = 0.34-0.95, P = 0.03) and sepsis (OR = 0.55, 95% CI = 0.31-0.97, P = 0.04) subgroup analysis. For IL-1RN VNTR polymorphism, significant association was observed in overall comparison for allelic effect (OR = 1.40, 95% CI = 1.01-1.95, P = 0.04). Furthermore, the effect sizes of IL-1RN VNTR on sepsis risk increased with disease severity (septic shock OR > severe sepsis OR > sepsis OR).

Conclusions

Our meta-analysis indicated that IL-1A-889, IL-1B + 3954 and IL-1RN VNTR might be associated with sepsis susceptibility. However, further studies with larger sample sizes and from homogenous populations would be necessary to validate these findings.

SUBMITTER: Zhang AQ

PROVIDER: S-EPMC3901334 | biostudies-literature | 2014 Jan

REPOSITORIES: biostudies-literature

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Publications

Associations between interleukin-1 gene polymorphisms and sepsis risk: a meta-analysis.

Zhang An-Qiang AQ Pan Wei W Gao Jun-Wei JW Yue Cai-Li CL Zeng Ling L Gu Wei W Jiang Jian-Xin JX

BMC medical genetics 20140116

<h4>Background</h4>Previous epidemiological studies have presented conflicting evidence regarding associations between interleukin-1 (IL-1) polymorphisms and sepsis susceptibility. We have performed a meta-analysis to evaluate possible associations between IL-1 polymorphisms and sepsis risk.<h4>Methods</h4>Eligible literature was retrieved from PubMed, Embase and Web of Knowledge databases until Jun 15, 2013. The pooled odds ratio (OR) and 95% confidence interval (CI) were calculated using rando ...[more]

PMID: 24428862

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Project description:The associations between TNF-? and Interleukin gene polymorphisms and polycystic ovary syndrome (PCOS) risk have been studied in numerous epidemiological studies, but the results remain controversial. To investigate whether these polymorphisms facilitate susceptibility to PCOS, we conducted a comprehensive systematic review and meta-analysis.PubMed, Embase, Web of Science, Medline, CNKI, and Google Scholar were searched to obtain the genetic association studies according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Odds ratios (OR) with corresponding 95 % confidence intervals (CI) were used to assess the strengths of the associations. Funnel plots and Egger's tests were performed to test for possible publication bias. All statistical analyses were performed using Review Manager 5.2 and STATA11.0.Eighteen articles were included in the final meta-analysis. The studies involved the following polymorphisms: TNF-? -308G?>?A, TNF-? -805C>T, TNF-? -1031 T>C, IL-1A -889C>T, IL-1B -511C>T, IL-1B +3953 T>C, IL-6 -174G>C, IL-10 -819C>T, IL-10 -1082A>G, IL-18 -607C>A, and IL-18 -137G>C. Our results show a significant association between PCOS risk and the TNF-? -1031 T>C polymorphism (For TC+CC vs. TT: OR=2.09, 95 % CI=1.58-2.76, p<0.0001. For C allele vs. T allele: OR=1.67, 95 % CI=1.33-2.09, p<0.0001) and between PCOS risk and the IL-6 -174>C polymorphism (For CC+GC vs. GG: OR=0.49, 95 % CI=0.25-0.95, p=0.03. For CC vs. GG: OR=0.48, 95 % CI=0.28-0.80, p=0.005. For C vs. G: OR=0.60, 95 % CI=0.42-0.87, p=0.007). No associations were found with the other genetic models.The results of the meta-analysis suggest positive associations between the TNF-? -1031 T>C and IL-6 -174G>C polymorphisms and the risk of PCOS. No associations are found between PCOS risk and the TNF-? -308G>A, TNF-? -805C>T, IL-1A -889C>T, IL-1B -511C>T, IL-1B +3953C>T, IL-10 -819C>T, IL-10 -1082 A>G, IL-18 -607C>A, and IL-18 -137G>C polymorphisms. However, due to the heterogeneity and low quality of the studies related to PCOS polymorphisms in the meta-analysis, the results should be interpreted with caution. Future multi-ethnicity studies of homogeneous populations of PCOS patients with larger sample sizes and well-matched controls are needed.

Dataset Information

Associations between interleukin-1 gene polymorphisms and sepsis risk: a meta-analysis.

Background

Methods

Results

Conclusions

Publications

Associations between interleukin-1 gene polymorphisms and sepsis risk: a meta-analysis.

Similar Datasets

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