CYP17A1 (rs74357) polymorphism and polycystic ovary syndrome risk: a systemic review and meta-analysis.

Q2 Medicine
Mohamed Larbi Rezgoun, Djihan El Khour, Hiba Bendaoud, Djalila Chellat
{"title":"CYP17A1 (rs74357) polymorphism and polycystic ovary syndrome risk: a systemic review and meta-analysis.","authors":"Mohamed Larbi Rezgoun,&nbsp;Djihan El Khour,&nbsp;Hiba Bendaoud,&nbsp;Djalila Chellat","doi":"10.23750/abm.v94i4.14229","DOIUrl":null,"url":null,"abstract":"<p><strong>Background and aim: </strong>To investigate the association between CYP17A1 (rs74357) polymorphism and the risk of Polycystic Ovary Syndrome (PCOS).</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusions: </strong>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.</p>","PeriodicalId":35682,"journal":{"name":"Acta Biomedica de l''Ateneo Parmense","volume":"94 4","pages":"e2023167"},"PeriodicalIF":0.0000,"publicationDate":"2023-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/51/0f/ACTA-94-167.PMC10440780.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Acta Biomedica de l''Ateneo Parmense","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23750/abm.v94i4.14229","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0

Abstract

Background and aim: To investigate the association between CYP17A1 (rs74357) polymorphism and the risk of Polycystic Ovary Syndrome (PCOS).

Methods: 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.

Results: 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.

Conclusions: 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.

Abstract Image

Abstract Image

Abstract Image

CYP17A1 (rs74357)多态性与多囊卵巢综合征风险:一项系统回顾和荟萃分析
背景与目的:探讨CYP17A1 (rs74357)多态性与多囊卵巢综合征(PCOS)发病风险的关系。方法:通过检索PubMed、Science Direct、Google Scholar、Embase等数据库,检索CYP17rs74357基因多态性与PCOS易感性的相关文献。使用比值比(OR)和95%置信区间(CI)分析相关性测量。所有统计分析均采用CMA 3.0软件进行。结果:在本荟萃分析中,分析了24项研究,包括3462例PCOS和2898例对照。总体结果验证了17 CYP17 T/C (rs74357)基因多态性在隐性模型(固定和随机效应)、显性模型(随机效应)、CC与TT(固定效应)、CT与TT(固定效应)、等位基因对比(随机效应)5种遗传模型中与PCOS风险显著相关。种族/国家的分层分析还发现,在隐性、显性、CC vs TT、CC vs CT和等位基因对比模型下,亚洲人和高加索人之间存在显著关联。结论:本研究中CYP17 T/C (rs74357)基因多态性增加PCOS易感性,隐性C等位基因可作为PCOS风险的预测因素或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一发现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Acta Biomedica de l''Ateneo Parmense
Acta Biomedica de l''Ateneo Parmense Medicine-Medicine (all)
CiteScore
4.30
自引率
0.00%
发文量
0
期刊介绍: Acta Bio Medica Atenei Parmensis is the official Journal of the Society of Medicine and Natural Sciences of Parma, and it is one of the few Italian Journals to be included in many excellent scientific data banks (i.e. MEDLINE). Acta Bio Medica was founded in 1887 and its founders and collaborators, Clinicians and Surgeons, entered history. Acta Bio Medica Atenei Parmensis publishes Original Articles, Commentaries, Review Articles, Case Reports of experimental and general Medicine. A section is devoted to a Continuous Medical Education programme in order to help primary care Physicians to improve the quality of care.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信