UHPLC/Q-TOFMS-Based Plasma Metabolomics of Polycystic Ovary Syndrome Patients With and Without Insulin Resistance

The study analyzed plasma samples from 59 individuals, including healthy controls (n=19), non-insulin resistant (non-IR) PCOS patients (n=19), and insulin-resistant (IR) PCOS patients (n=21), using UHPLC/Q-TOFMS to identify metabolic differences and potential biomarkers for PCOS with and without IR. Significant metabolic alterations were found, particularly in glycerophospholipid, glycerolipid, and fatty acid metabolisms. Trilauric glyceride and decanoylcarnitine were proposed as potential biomarkers for PCOS with and without IR, respectively. The study concluded that LC-MS-based metabolomics could be a promising diagnostic strategy for PCOS and its complications, although further research with larger sample sizes is needed. The study was supported by grants from the Research Committee of the University of Macau and the Macao Science and Technology Development Fund.