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Updated: Oct 11, 2025

Author Spotlight: Advancing the Analysis of Plasma Extracellular Vesicle Proteome for Cardiovascular Biomarker Studies
Published on: January 31, 2025
Large-Scale Plasma Protein Profiling of Incident Myocardial Infarction, Ischemic Stroke, and Heart Failure
Lars Lind1, Daniela Zanetti2, Martin Ingelsson3
1Department of Medical Sciences Uppsala University Sweden.
Insights
Measuring over 700 proteins identified new cardiovascular disease (CVD) risk markers. This large-scale proteomics approach enhances CVD risk prediction in older men.
Area of Science:
- Proteomics and Cardiovascular Disease Research
- Biomarker Discovery for Chronic Diseases
- Geriatric Cardiology and Risk Stratification
Background:
- Previous research linked 2 specific proteins to major cardiovascular diseases (CVD).
- The current study aimed to expand this by analyzing a much larger protein panel.
- The goal was to identify additional protein-based risk markers for CVD.
Purpose of the Study:
- To investigate if measuring a larger number of proteins can identify novel CVD risk markers.
- To assess the utility of large-scale proteomics for improving CVD risk prediction.
- To explore protein associations with incident myocardial infarction, ischemic stroke, and heart failure.
Main Methods:
- Proximity extension assay used to measure 742 plasma proteins.
- Study cohort: 826 men from the Uppsala Longitudinal Study of Adult Men (ULSAM) free from CVD at age 70.
- Statistical analysis included Cox proportional hazards models and lasso selection, adjusted for covariates.
Main Results:
- Over a median 12.5-year follow-up, 283 incident CVD events occurred.
- Forty-one proteins were significantly associated with combined incident CVD, including N-terminal pro-brain natriuretic peptide.
- Specific proteins like Growth Differentiation Factor 15 were linked to all three major CVD outcomes; 11 proteins improved CVD discrimination by 5.0%.
Conclusions:
- Large-scale proteomics is effective for discovering new CVD risk markers.
- This approach can improve CVD risk prediction in elderly men.
- Further validation in diverse populations (men and women of various ages) is warranted.
Abstract:
Background We recently reported a link between plasma levels of 2 of 84 cardiovascular disease (CVD)-related proteins and the 3 major CVDs, myocardial infarction, ischemic stroke, and heart failure. The present study investigated whether measurement of almost 10 times the number of proteins could lead to discovery of additional risk markers for CVD. Methods and Results We measured 742 proteins using the proximity extension assay in 826 male participants of ULSAM (Uppsala Longitudinal Study of Adult Men) who were free from CVD at the age of 70 years. Cox proportional hazards models were adjusted for age only, as well as all traditional risk factors. During a 12.5-year median follow-up (maximal, 22.0 years), 283 incident CVDs occurred. Forty-one proteins were significantly (false discovery rate <0.05) related to the combined end point of incident CVD, with N-terminal pro-brain natriuretic peptide as the top finding, while 53 proteins were related to incident myocardial infarction. A total of 13 and 16 proteins were significantly related to incident ischemic stroke and heart failure, respectively. Growth differentiation factor 15, 4-disulfide core domain protein 2, and kidney injury molecule were related to all of the 3 major CVD outcomes. A lasso selection of 11 proteins improved discrimination of incident CVD by 5.0% (P=0.0038). Conclusions Large-scale proteomics seem useful for the discovery of new risk markers for CVD and to improve risk prediction in an elderly population of men. Further studies are needed to replicate the findings in independent samples of both men and women of different ages.
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