Center of Oncology, The Affiliated Hospital of Guangdong Medical College, Zhanjiang, China.
Department of Biochemistry and Molecular Biology, Guangdong Medical College, Zhanjiang, China.
PLoS One. 2014 Jan 21;9(1):e86649. doi: 10.1371/journal.pone.0086649. eCollection 2014.
Epidemiological studies have evaluated the association between 3801T>C polymorphism of CYP1A1 gene and the risk for idiopathic male infertility, but the results are inconclusive. We aimed to derive a more precise estimation of the relationship by conducting a meta-analysis of case-control studies.
This study conformed to Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. PubMed, Embase and CNKI databases were searched through November 2013 to identify relevant studies. Pooled odds ratios with 95% confidence intervals were used to assess the strength of the association between CYP1A1 3801T>C polymorphism and idiopathic male infertility risk. Q-test was performed to evaluate between-study heterogeneity and publication bias was appraised using funnel plots. Sensitivity analyses were conducted to evaluate the robustness of meta-analysis findings.
Six studies involving 1,060 cases and 1,225 controls were included in this meta-analysis. Overall, significant associations between 3801T>C polymorphism and idiopathic male infertility risk were observed in allelic comparison (OR = 1.36, 95% CI: 1.01-1.83), homozygous model (OR = 2.18, 95% CI: 1.15-4.12), and recessive model (OR = 1.86, 95% CI: 1.09-3.20), with robust findings according to sensitivity analyses. However, subgroup analyses did not further identify the susceptibility to idiopathic male infertility in all comparisons. Funnel plot inspections did not reveal evidence of publication bias.
The current meta-analysis provides evidence of a significant association between CYP1A1 3801T>C polymorphism and idiopathic male infertility risk. Considering the limitation inherited from the eligible studies, further confirmation in large-scale and well-designed studies is needed.
流行病学研究已经评估了 CYP1A1 基因 3801T>C 多态性与特发性男性不育症风险之间的关联，但结果尚无定论。我们旨在通过对病例对照研究进行荟萃分析得出更精确的估计。
本研究符合系统评价和荟萃分析的首选报告项目指南。通过 2013 年 11 月检索 PubMed、Embase 和中国知网数据库，以确定相关研究。使用合并的优势比及其 95%置信区间来评估 CYP1A1 3801T>C 多态性与特发性男性不育症风险之间的关联强度。Q 检验用于评估研究间的异质性，漏斗图用于评估发表偏倚。进行敏感性分析以评估荟萃分析结果的稳健性。
这项荟萃分析共纳入了 6 项研究，涉及 1060 例病例和 1225 例对照。总体而言，在等位基因比较（OR=1.36，95%CI：1.01-1.83）、纯合子模型（OR=2.18，95%CI：1.15-4.12）和隐性模型（OR=1.86，95%CI：1.09-3.20）中，3801T>C 多态性与特发性男性不育症风险之间存在显著关联，并且根据敏感性分析结果，这些发现具有稳健性。然而，亚组分析并未进一步确定所有比较中特发性男性不育症的易感性。漏斗图检查未发现发表偏倚的证据。
本荟萃分析提供了 CYP1A1 3801T>C 多态性与特发性男性不育症风险之间存在显著关联的证据。考虑到合格研究中存在的局限性，需要在大规模和精心设计的研究中进一步证实。
