Metabolomic Analysis of Serum in Polycystic Ovary Syndrome Patients with Insulin Resistance

Background Polycystic ovary syndrome (PCOS) with insulin resistance is a complex endocrine disorder. Understanding its metabolic profile can contribute to early diagnosis and treatment. However, the underlying metabolic mechanisms remain incompletely understood. Thus, this study aimed to explore the metabolic characteristics of PCOS patients with insulin resistance through serum metabolomic analysis. Methods A total of 12 PCOS patients were recruited and divided into an insulin resistance group (IR group) and a non - insulin resistance group (NIR group). Liquid chromatography - mass spectrometry (LC - MS) was employed to conduct untargeted serum metabolomics analysis. Various statistical methods were utilized for data processing to identify differences in clinical biochemical parameters and metabolites between the two groups. Results Significant differences in clinical biochemical parameters were detected between the IR group and the NIR group. A total of 40 differential metabolites were identified. These metabolites were involved in multiple metabolic pathways related to carbohydrates, lipids, and amino acids. Conclusion The findings of this study provide new insights into the pathogenesis of insulin resistance in PCOS. The identified differential metabolites and metabolic pathways may serve as potential biomarkers and therapeutic targets, which could contribute to the early diagnosis and treatment of PCOS patients with insulin resistance. Clinical trial number Not applicable.