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<p>Polycystic ovary syndrome (PCOS) is a complex endocrine disorder characterized by metabolic dysregulation. Identifying serum biomarkers can enhance our understanding of its pathophysiology. This study employs an untargeted metabolomic approach to investigate metabolic alterations in PCOS. Serum samples were collected from 71 women with PCOS and 54 healthy controls. Untargeted Metabolomic profiling was performed using liquid chromatography-mass spectrometry to identify metabolites with differential abundance. Pathway analysis was conducted to identify key metabolic disruptions, and correlations between identified metabolites and clinical parameters were assessed. The metabolomics analysis identified 24 upregulated and 17 downregulated metabolites in PCOS compared with controls. These metabolites mainly include glycerophospholipids, fatty acids, sphingolipids, peptides, ceramides, and steroids. Pathway analysis indicated that these metabolites were enriched in pathways including bile acid biosynthesis, glycerolipid metabolism, tryptophan metabolism, the citric acid cycle, and fatty acid metabolism. Increased levels of branched-chain and aromatic amino acids suggested potential links to insulin resistance. Disruptions in bile acid metabolism suggested altered interactions between the gut microbiome and the host. Additionally, metabolites related to oxidative stress and mitochondrial function indicated metabolic dysfunction. Correlation analyses revealed associations between altered metabolites and clinical markers such as insulin resistance and androgen levels. This study reveals distinct serum metabolic alterations in PCOS, emphasizing their association with insulin resistance and inflammation. These findings highlight the potential of metabolomics to identify novel biomarkers for early diagnosis and to develop targeted therapeutic strategies.</p>

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Global metabolomic profiling of serum biomarkers in women with polycystic ovary syndrome

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年7月1日

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  • Jalpa Patel,
  • Hiral Chaudhary,
  • Sonal Panchal,
  • Rushikesh Joshi

摘要

Polycystic ovary syndrome (PCOS) is a complex endocrine disorder characterized by metabolic dysregulation. Identifying serum biomarkers can enhance our understanding of its pathophysiology. This study employs an untargeted metabolomic approach to investigate metabolic alterations in PCOS. Serum samples were collected from 71 women with PCOS and 54 healthy controls. Untargeted Metabolomic profiling was performed using liquid chromatography-mass spectrometry to identify metabolites with differential abundance. Pathway analysis was conducted to identify key metabolic disruptions, and correlations between identified metabolites and clinical parameters were assessed. The metabolomics analysis identified 24 upregulated and 17 downregulated metabolites in PCOS compared with controls. These metabolites mainly include glycerophospholipids, fatty acids, sphingolipids, peptides, ceramides, and steroids. Pathway analysis indicated that these metabolites were enriched in pathways including bile acid biosynthesis, glycerolipid metabolism, tryptophan metabolism, the citric acid cycle, and fatty acid metabolism. Increased levels of branched-chain and aromatic amino acids suggested potential links to insulin resistance. Disruptions in bile acid metabolism suggested altered interactions between the gut microbiome and the host. Additionally, metabolites related to oxidative stress and mitochondrial function indicated metabolic dysfunction. Correlation analyses revealed associations between altered metabolites and clinical markers such as insulin resistance and androgen levels. This study reveals distinct serum metabolic alterations in PCOS, emphasizing their association with insulin resistance and inflammation. These findings highlight the potential of metabolomics to identify novel biomarkers for early diagnosis and to develop targeted therapeutic strategies.