Plasma metabolomics uncovers key metabolites and enhances prediction of aortic stenosis: insights from prospective cohort and Mendelian randomisation studies
Our study identified 39 metabolites with causal associations with AS risk, particularly apolipoprotein B-containing lipoproteins. The derived 12-metabolite panel significantly improved AS risk prediction, demonstrating the potential of NMR-based metabolomics to enhance AS risk stratification and targeted prevention.
Authors
- Xiaoqin Gan (ORCID: https://orcid.org/0009-0002-1906-666X)
- Xianhui Qin (ORCID: https://orcid.org/0000-0001-7812-7982)
- Yanjun Zhang (ORCID: https://orcid.org/0009-0000-0637-5549)
- Yiting Wu (ORCID: https://orcid.org/0000-0001-8079-9497)
- Ziliang Ye (ORCID: https://orcid.org/0000-0002-8626-4925)
- Sisi Yang (ORCID: https://orcid.org/0009-0008-2696-9107)
- Yuanyuan Zhang (ORCID: https://orcid.org/0000-0002-9894-248X)
- Yiwei Zhang (ORCID: https://orcid.org/0000-0001-9611-9337)
- Hao Xiang (ORCID: https://orcid.org/0000-0003-4823-2890)
- Yu Huang
Institutions
- Guangdong Provincial Occupational Disease Prevention Hospital (CN)
Publication Details
- Journal
- Heart
- Published
- 2025-08-04
- DOI
- https://doi.org/10.1136/heartjnl-2025-326161
- Citations
- 1
- Primary Topic
- Cardiac Valve Diseases and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 1.39
Funders
- National Natural Science Foundation of China
- National Key Research and Development Program of China