胰岛素抵抗
高雄激素血症
多囊卵巢
生物
生物信息学
胰岛素
内分泌学
内科学
医学
作者
Xianrui Chen,Yu Wan,Lingling Xie
标识
DOI:10.1093/biolre/ioaf197
摘要
Abstract Purpose Polycystic ovary syndrome affects 5–10% of women of reproductive age, with insulin resistance playing a central role in its pathophysiology in up to 80% of cases. This review aims to elucidate the molecular mechanisms by which insulin resistance disrupts ovarian function, contributing to menstrual irregularities and hyperandrogenism. It also evaluates current and emerging therapeutic strategies, with an emphasis on individualized management. Methods A comprehensive review of recent literature was conducted, focusing on molecular studies, clinical trials, and meta-analyses related to insulin signaling pathways in polycystic ovary syndrome, as well as therapeutic interventions. Special attention was paid to ethnic variations, particularly in East Asian populations, and advances in genomic and metabolomic profiling. Results Polycystic ovary syndrome is characterized by selective insulin resistance, wherein metabolic insulin signaling is impaired, but steroidogenic and mitogenic pathways remain responsive, promoting hyperandrogenism and anovulation. East Asian women exhibit significant insulin resistance despite lower body mass index compared with Western populations. Insulin resistance in polycystic ovary syndrome also increases cardiometabolic risks and psychological burden. While lifestyle modification, insulin sensitizers, and hormonal therapy remain first-line treatments, novel approaches such as microbiome-targeted therapies and anti-inflammatory agents show promise. Conclusion Understanding the complex interplay between insulin resistance and ovarian dysfunction is crucial for effective polycystic ovary syndrome management. Integrating emerging molecular insights with digital health tools can facilitate personalized, multidisciplinary approaches that address both reproductive and metabolic aspects of polycystic ovary syndrome, ultimately improving patient outcomes. Summary Sentence This study underscores the pivotal role of insulin resistance in ovarian dysfunction and advocates for integrated, technology-enhanced strategies to personalize PCOS management, thereby improving holistic patient outcomes.
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