| Title: | Aortic stenosis risk and Life's Crucial 9: the role of proteomics and inflammation |
| Journal: | European Journal of Preventive Cardiology |
| Published: | 4 Aug 2025 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/40757799/ |
| DOI: | https://doi.org/10.1093/eurjpc/zwaf491 |
Publication 16034
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Abstract
AIM: To investigate the association between Life's Crucial 9 (LC9) and the risk of aortic stenosis, and the mediating roles of plasma proteomics and inflammatory biomarkers.</p>
METHODS: This study analyzed 295,828 UK Biobank participants (including 31,522 with available proteomics data) without aortic stenosis at baseline. LC9 score was categorized into three groups: low (0-49 points), moderate (50-79 points), and high (80-100 points).</p>
RESULTS: Compared with participants in the low LC9 group, those in the moderate (HR: 0.49, 95% CI: 0.44-0.55) and high groups (HR: 0.28, 95% CI: 0.23-0.34) had a significantly lower aortic stenosis risk. The population attributable risk for aortic stenosis risk associated with low/moderate LC9 was 43.6% (95%CI: 34.1-53.0%). A proteomic signature for LC9, consisting of 549 proteins, was constructed and found to be primarily involved in pathways related to lipid metabolism, immune function and inflammation. The proteomic signature significantly mediated 35.9% of the association between LC9 and aortic stenosis risk, with ADM showing the highest mediating proportion at 20.9%, followed by FABP4 (18.6%), HGF (17.3%), HAVCR1 (17.0%) and GDF15 (15.8%). Inflammatory biomarkers also mediated a small but significant proportion of LC9-related aortic stenosis risk, with mediating proportions ranging from 1.0 to 5.9%.</p>
CONCLUSIONS: Higher LC9 score was associated with reduced aortic stenosis risk. This inverse relationship was significantly mediated by plasma proteomics and inflammatory biomarkers. These findings underscore the importance of adherence to LC9 guidelines for the prevention of aortic stenosis, and provide insights into the biological pathways linking cardiovascular health to aortic stenosis.</p>
10 Authors
- Hao Xiang
- Yiwei Zhang
- Yuanyuan Zhang
- Ziliang Ye
- Yanjun Zhang
- Sisi Yang
- Xiaoqin Gan
- Yu Huang
- Yiting Wu
- Xianhui Qin
1 Application
| Application ID | Title |
|---|---|
| 73201 | Identification of residual risks of non-infectious chronic diseases |
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