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巨噬细胞移动抑制因子-173 G>C多态性与结核病风险:一项荟萃分析。

Macrophage migration inhibitory factor -173 G > C polymorphism and risk of tuberculosis: A meta-analysis.

作者信息

Naderi Mohammad, Hashemi Mohammad, Ansari Hossein

机构信息

Infectious Diseases and Tropical Medicine Research Center, Zahedan University of Medical Sciences, Zahedan, Iran.

Department of Clinical Biochemistry, School of Medicine, Zahedan University of Medical Sciences, Zahedan, Iran.

出版信息

EXCLI J. 2017 Mar 21;16:313-320. doi: 10.17179/excli2016-662. eCollection 2017.

Abstract

The aim of the present meta-analysis was to find out the impact of -173 G > C polymorphism on risk of tuberculosis (TB). We conducted a search of case-control studies on the associations of -173 G > C variant of with susceptibility to tuberculosis in PubMed, ISI Web of Science, and Scopus. We extracted the data from eligible studies and achieved a meta-analysis to examine the relationship between -173 G > C polymorphism and the risk of TB. Odds ratios (ORs) with the corresponding 95 % confidence intervals (CIs) were pooled to find out the impact of -173G > C promoter polymorphism on TB risk. The pooled ORs were calculated for the codominant, dominant, recessive, and allelic model comparison. The findings revealed that -173 G > C variant increased the risk of TB in codominant (OR = 1.54, 95 %CI = 1.26-1.88, p < 0.0001; CG vs GG), and dominant (OR = 1.62, 95 %CI = 1.33-1.96, p < 0.00001; GC+CC vs GG) inheritance models tested. The results suggested that the -173 C allele significantly increased the risk of PTB (OR = 1.49, 95 %CI = 1.28-1.74, p < 0.00001). The findings of this meta-analysis propose that -173 G > C variant is associated with the risk of TB. More case-control studies with well-designed in different ethnic groups and larger sample size are needed to confirm the findings.

摘要

本荟萃分析的目的是探究-173 G>C多态性对结核病(TB)风险的影响。我们在PubMed、ISI Web of Science和Scopus数据库中检索了关于-173 G>C变异与结核病易感性关联的病例对照研究。我们从符合条件的研究中提取数据,并进行荟萃分析以检验-173 G>C多态性与结核病风险之间的关系。汇总具有相应95%置信区间(CI)的比值比(OR),以探究-173G>C启动子多态性对结核病风险的影响。针对共显性、显性、隐性和等位基因模型比较计算汇总OR。研究结果显示,在共显性(OR = 1.54,95%CI = 1.26 - 1.88,p < 0.0001;CG与GG)和显性(OR = 1.62,95%CI = 1.33 - 1.96,p < 0.00001;GC + CC与GG)遗传模型中,-173 G>C变异增加了结核病风险。结果表明,-173 C等位基因显著增加了肺结核(PTB)的风险(OR = 1.49,95%CI = 1.28 - 1.74,p < 0.00001)。该荟萃分析的结果表明,-173 G>C变异与结核病风险相关。需要更多在不同种族群体中设计良好且样本量更大的病例对照研究来证实这些发现。

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