Untargeted Metabolomic Approach to Study the Serum Metabolites in Women with Polycystic Ovary Syndrome

    August 2021 in “ BMC Medical Genomics
    Yingyan Yu, Panli Tan, Zhenchao Zhuang, Zhejiong Wang, Linchao Zhu, Ruyi Qiu, Huaxi Xu
    TLDR Certain metabolites may help diagnose and predict polycystic ovary syndrome.
    This study investigated the serum metabolic profiles of 31 women with polycystic ovary syndrome (PCOS) compared to 31 healthy controls using a metabolomics approach with UPLC-HRMS technology. The analysis identified 68 downregulated and 78 upregulated metabolites in PCOS patients, primarily involving triacylglycerols, glycerophosphocholines, acylcarnitines, and other compounds. These metabolites were enriched in pathways such as glycerophospholipid metabolism and fatty acid degradation. The study highlighted specific metabolites with high diagnostic value, suggesting their potential as metabolic markers for PCOS prognosis and diagnosis.
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