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.
    The study investigated serum metabolites in 31 women with polycystic ovary syndrome (PCOS) using an untargeted metabolomic approach, comparing them to 31 healthy controls. It identified 146 significantly altered metabolites, with disruptions primarily in lipid metabolism pathways. Notable findings included higher levels of fasting glucose, LH, testosterone, triglycerides, LDL-c, and LH/FSH ratio in PCOS patients, while PRL and HDL-c levels were lower. The study highlighted potential biomarkers for PCOS diagnosis, such as Leu–Ala/Ile–Ala and 3-(4-Hydroxyphenyl) propionic acid, with high diagnostic significance. However, the limited sample size indicated a need for further large-scale research to validate these results.
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