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Metabolic signatures and machine learning identify gut-liver-heart axis dysfunction as a potential link to major adverse cardiovascular events in coronary artery disease

Crossref DOI link: https://doi.org/10.1186/s40842-026-00329-w

Published Online: 2026-08-12

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Lin, Min-Qing

Wong, Chun-Ka

Au, Ka-Wing

Cheung, Chloe Yu-Yan

Lau, Yee-Man

Liao, Song-Yan

Lam, Karen Siu-Ling

Xu, Aimin

Tse, Hung-Fat
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Text and Data Mining valid from 2026-08-12

Version of Record valid from 2026-08-12
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Article History

Received: 1 June 2026

Accepted: 11 July 2026

First Online: 12 August 2026

Declarations

Ethics approval and consent to participate: The study was approved by the Institutional Review Board of the University of Hong Kong/Hospital Authority Hong Kong West Cluster. Written informed consent was obtained from all participants.

Consent for publication: Not applicable.

Competing interests: The authors declare no competing interests.

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