Mashhadi Faezeh, Khadem Ghaebi Nayere, Roudi Fatemeh, Nematy Mohsen
Department of Nutrition, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Women's Health Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
J Obstet Gynaecol India. 2025 Apr;75(Suppl 1):78-85. doi: 10.1007/s13224-024-01997-3. Epub 2024 Jul 3.
Polycystic ovary syndrome (PCOS) represents a prevalent endocrine disorder affecting women of reproductive age, coupled with an array of conditions such as hypertension, dyslipidemia, mental health challenges, and potential infertility. The current understanding of risk factors for metabolic disorders within distinct reproductive diagnostic phenotypes of PCOS remains limited. This study aims to compare the metabolic characteristics of different phenotype groups, aiming to identify those with a heightened risk of metabolic complications, thus laying the groundwork for future screening and preventive strategies.
A cross-sectional study involving 91 women diagnosed with PCOS categorized into four phenotype groups based on the Rotterdam diagnostic criteria was conducted. Demographic and laboratory parameters among these groups were compared and analyzed.
No noteworthy distinctions in laboratory findings were discerned among these phenotypes ( value > 0.05). Body mass index (BMI) displayed a significant positive correlation, while high-density lipoprotein (HDL) exhibited a notable inverse correlation with the TyG Index ( value < 0.05). Stepwise model regression unveiled that LDL variables exerted a positive effect ( = .017, value < .001), while CRP ( = - .144, P value = .003) and AST ( = - .016, value = .011) variables displayed a negative and significant impact on the TyG Index.
Insulin resistance in diverse PCOS types appears to be influenced by both patient-specific traits and their inflammatory and metabolic health. Continued research into these relationships is crucial to guide the development of more effective, personalized approaches for managing PCOS.
多囊卵巢综合征（PCOS）是一种常见的内分泌紊乱疾病，影响育龄女性，还伴有一系列病症，如高血压、血脂异常、心理健康问题以及潜在的不孕症。目前对于PCOS不同生殖诊断表型中代谢紊乱风险因素的理解仍然有限。本研究旨在比较不同表型组的代谢特征，以确定那些代谢并发症风险较高的人群，从而为未来的筛查和预防策略奠定基础。
进行了一项横断面研究，纳入91名根据鹿特丹诊断标准被诊断为PCOS的女性，并将其分为四个表型组。对这些组之间的人口统计学和实验室参数进行了比较和分析。
这些表型之间在实验室检查结果上未发现显著差异（P值>0.05）。体重指数（BMI）显示出显著的正相关，而高密度脂蛋白（HDL）与TyG指数呈显著负相关（P值<0.05）。逐步模型回归显示，低密度脂蛋白（LDL）变量具有正向影响（β=0.017，P值<0.001），而C反应蛋白（CRP）（β=-0.144，P值=0.003）和谷草转氨酶（AST）（β=-0.016，P值=0.011）变量对TyG指数显示出负向且显著的影响。
不同类型PCOS中的胰岛素抵抗似乎受到患者个体特征及其炎症和代谢健康状况的影响。对这些关系的持续研究对于指导开发更有效、个性化的PCOS管理方法至关重要。
