Association between insulin resistance and abnormal menstrual cycle in Chinese patients with polycystic ovary syndrome

Author:

Niu Jiali1,Lu Meiyin1,Liu Bin1

Affiliation:

1. Jinan University

Abstract

Abstract Background: Polycystic ovary syndrome (PCOS) is a common reproductive endocrine disorder, which is characterized by insulin resistance (IR) and menstrual cycle disorders. IR is thought of as a pivotal cause of PCOS and related comorbidities. However, the link between IR and abnormal menstrual cycles in PCOS should be further studied. In this study, we aimed to clarify the dose-response relationship between IR and abnormal menstrual cycles in patients with PCOS. Results: In this retrospective study including140 patients with PCOS, we found that there was a dose-response relationship between the increased HOMA-IR index and the level of menstrual cycle disorders (1.610 [95%CI: 1.37-1.85] for normal menstruation, 2.020 [95%CI: 1.61-2.44] for oligomenorrhea, 2.350 [95%CI:1.96-2.75] for amenorrhea, Pfor trend = 0.003). Further stratification analyses showed that this dose-response relationship was more evident in the patients who were younger than 25 years, had higher AFC numbers and had elevated levels of testosterone, anti-Müllerian hormone, inhibin B, and prolactin levels. Conclusions: Our study has established an association between IR and abnormal menstrual cycles in patients with PCOS, which can be affected by age and aberrant hormone levels. Our results might be helpful for further prevention and treatment of amenorrhea in PCOS.

Publisher

Research Square Platform LLC

Reference49 articles.

1. Hyperandrogenism and menstrual imbalance are the best predictors of metformin response in PCOS patients;Garzia E;Reprod Biol Endocrinol,2022

2. Epidemiology, diagnosis, and management of polycystic ovary syndrome;Sirmans SM;Clin Epidemiol,2013

3. Association between Biomarkers of Low-grade Inflammation and Sex Hormones in Women with Polycystic Ovary Syndrome;Hatziagelaki E;Exp Clin Endocrinol Diabetes,2020

4. Zhang Y, Ho K, Keaton JM, Hartzel DN, Day F, Justice AE, Josyula NS, Pendergrass SA, Actkins K, Davis LK, et al: A genome-wide association study of polycystic ovary syndrome identified from electronic health records. Am J Obstet Gynecol 2020, 223(4):559.e551-559.e521.

5. Administration of a VIP-antagonist in vivo modifies ovarian hormone secretion in a rat model with polycystic ovary syndrome;Morales-Ledesma L;Life Sci,2021

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3