Evidence map›Paper›PMID 42158927›Full record

ArticleFrontiers in molecular biosciences2026

Serum bile acid metabolic profiles in polycystic ovary syndrome: insights from targeted metabolomics and correlation with embryonic parameters.

Jialai Wang, Lirong Wang, Hang Ge, XinYu Hu, Zhenmin Si, Ying Yang, Fengjuan Li, Zhenyu Shi, Hui Chang

Abstract read
In one paragraph

Article in Frontiers in molecular biosciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Jialai Wang *The First Clinical Medical College, Heilongjiang University of Chinese Medicine, Harbin, China.
Lirong Wang *The First Clinical Medical College, Heilongjiang University of Chinese Medicine, Harbin, China.
Hang Ge *The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Traditional Chinese Medicine), Hangzhou, Zhejiang, China.
XinYu HuThe First Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Zhenmin SiThe First Clinical Medical College, Heilongjiang University of Chinese Medicine, Harbin, China.
Ying YangThe First Clinical Medical College, Heilongjiang University of Chinese Medicine, Harbin, China.
Fengjuan LiThe First Clinical Medical College, Heilongjiang University of Chinese Medicine, Harbin, China.
Zhenyu ShiThe First Clinical Medical College, Heilongjiang University of Chinese Medicine, Harbin, China.
Hui ChangThe First Clinical Medical College, Heilongjiang University of Chinese Medicine, Harbin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Polycystic ovary syndrome (PCOS) is a complex endocrine disorder. In this study, we characterize serum bile acids (BAs) metabolic profiles in PCOS patients using targeted metabolomics and investigated their correlation with embryonic parameters, thereby elucidating the role of BAs in the pathogenesis of PCOS. Methods: We enrolled 20 PCOS patients undergoing Results: We identified 43 BA metabolites, including 22 upregulated and 21 downregulated species. We selected 11 key BA metabolites, of which six demonstrated diagnostic potential based on ROC curve analysis. We found negative correlations between these metabolites and embryonic parameters, although none of the correlations were statistically significant. Conclusion: Although targeted metabolomics is an exploratory tool, it is valuable for identifying potential diagnostic biomarkers in PCOS, offering preliminary novel insights into the pathophysiology of PCOS. The findings of this study suggest that targeted modulation of the metabolism of BA may represent an emerging and promising strategy for ameliorating metabolic and reproductive dysfunction in PCOS; however, these findings need to be validated in larger, independent cohorts.

Indexed as

bile acidsembryonic parametersmetabolomicspolycystic ovary syndromeultra-high-performance liquid chromatography–tandem mass spectrometry

Identifiers

PMID42158927
PMCPMC13180545

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