| Title: | Plasma proteomics and incident coronary heart disease |
| Journal: | Communications Medicine |
| Published: | 10 Jan 2026 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/41520077/ |
| DOI: | https://doi.org/10.1038/s43856-025-01363-y |
| URL: | https://www.nature.com/articles/s43856-025-01363-y_reference.pdf |
Publication 18654
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Abstract
BackgroundSystematic profiling of plasma proteins in population studies offers a complementary approach to discovery of novel risk factors and may provide new insights into the causes of coronary heart disease.MethodsTo explore relationships between the circulating proteome and coronary heart disease (CHD), we evaluated associations of 4780 plasma proteins with incident CHD in the Cardiovascular Health Study (CHS, N=2856, 575 CHD events) and replicated significant associations in the Atherosclerosis Risk in Communities Study (ARIC, N = 10456; 1375 events).ResultsWe find that 11 proteins significantly associate with incident CHD after adjusting for risk factors; and eight significantly replicated in ARIC. Several proteins correlate with carotid intimal medial thickness and CHD associations are attenuated in participants without subclinical atherosclerosis. Macrophage metalloelastase (MMP12) is the strongest observed association (Hazard Ratio, 1.31; 95% Confidence Interval, 1.19-1.44). Mendelian randomization (MR) identifies a causal relationship between higher MMP12 and lower CHD (Odds Ratio, OR 0.94) and ischemic stroke (OR 0.90) risk, while reverse MR found that genetic propensity to CHD increased MMP12. Taken together, multivariable MR confirms a direct protective effect of higher plasma MMP12 on CHD risk and a genetic effect of atherosclerosis and CHD on elevating MMP12.ConclusionsProteomic analyses reveal associations with incident CHD and genomic evidence suggests that therapeutic MMP12 inhibition may confer adverse cardiovascular effects.</p>
17 Authors
- Matthew P. Huber
- Jennifer A. Brody
- Colleen M. Sitlani
- Thomas R. Austin
- Usman A. Tahir
- Shuliang Deng
- Devendra Meena
- Jingsha Chen
- Kunihiro Matsushita
- Christie M. Ballantyne
- Josef Coresh
- Robert E. Gerszten
- Russell P. Tracy
- Ting Ye
- Bruce M. Psaty
- Joshua C. Bis
- James S. Floyd
1 Application
| Application ID | Title |
|---|---|
| 52569 | A phenome-wide association analysis and Mendelian Randomisation analysis on metabolic features detected by untargetted metabolomics |
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