Université Frères Mentouri Constantine 1.
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Acta Biomed. 2023 Aug 3;94(4):e2023167. doi: 10.23750/abm.v94i4.14229.
To investigate the association between CYP17A1 (rs74357) polymorphism and the risk of Polycystic Ovary Syndrome (PCOS).
Literature on the association of CYP17rs74357 gene polymorphism and susceptibility to PCOS was retrieved by searching databases such as PubMed, Science Direct, Google Scholar and Embase from. The association measure was analyzed using an Odds Ratio (OR) and 95% Confidence Interval (CI). All the statistical analyses were executed using CMA 3.0 Software.
In the present meta-analysis,24 studies including 3462 PCOS and 2898 controls were analyzed. The overall results validated that the 17 CYP17 T/C (rs74357) gene polymorphism was significantly associated with PCOS risk in 5 genetic models: recessive model (fixed and random effect), dominant model (random effect), CC vs. TT (fixed effect), CT vs. TT (fixed effect), and allele contrast (random effect). Stratified analyses by ethnicity/country also detected significant association between Asian and Caucasian under the recessive, dominant, CC vs. TT, CC vs. CT, and the allele contrast models.
In the present study, CYP17 T/C (rs74357) gene polymorphism increase the susceptibility of PCOS, and the recessive C allele, can be proposed as a predictive factor for the risk of PCOS or an important pathway in PCOS associated metabolic and hormonal dysregulation especially insulin resistance.However, larger sample size andmultiracial studies are needed in the future to confirm the findings.
探讨细胞色素 P450 家族 17 亚单位 A1(CYP17A1)(rs74357)基因多态性与多囊卵巢综合征(PCOS)发病风险的相关性。
检索 PubMed、Science Direct、Google Scholar 和 Embase 等数据库,获取 CYP17rs74357 基因多态性与 PCOS 易感性相关的文献。采用比值比(OR)及其 95%置信区间(CI)分析相关性。所有统计分析均采用 CMA 3.0 软件进行。
本荟萃分析共纳入 24 项研究,包括 3462 例 PCOS 患者和 2898 例对照。总体结果表明,在 5 种遗传模型(隐性模型、显性模型、CC 与 TT、CT 与 TT、等位基因对比)中,17 号 CYP17T/C(rs74357)基因多态性与 PCOS 发病风险显著相关。按种族/国家进行分层分析,在亚洲人和白种人中,隐性、显性、CC 与 TT、CC 与 CT 以及等位基因对比模型均显示出显著相关性。
本研究表明,CYP17T/C(rs74357)基因多态性增加了 PCOS 的易感性,隐性 C 等位基因可作为 PCOS 发病风险的预测因子,或作为 PCOS 相关代谢和激素失调(尤其是胰岛素抵抗)的重要途径。然而,未来需要更大的样本量和多种族研究来证实这些发现。