Blood protein score improves heart failure prediction
A 19-protein score achieved 0.80 versus 0.76 for clinical risk factors alone on a measure of how well it distinguished future heart failure cases.

Our read
Biomarkers- Studied:
- Cohort study of 52,483 people without previous heart failure, against clinical risk factors alone
- What changed:
- The protein score distinguished future heart failure cases better than clinical risk factors alone: AUC 0.80 versus 0.76
- The catch:
- The analysis did not measure whether changing these proteins would prevent heart failure
- Why it’s aging research:
- It bears on staying healthy in midlife and later life.
Editor of record: Boris Djordjevic · AgingResearch.News
UK Biobank participants without previous heart failure were studied in an observational analysis of blood proteins. The results covered 52,483 people, averaging 57 years of age; 54% were female. Over an average 13.5 years, 2,454 developed heart failure.
The researchers identified a 19-protein score that predicted future heart failure better than clinical risk factors alone. Combining both improved prediction further. The score performed less well in every risk-factor subgroup examined. Genetic and other analyses suggested that most predictive proteins were linked to heart failure through pathways involving risk factors, rather than representing direct drug targets. One protein, called LRRN1, appeared to predict heart failure independently of these risk factors.
Why it matters
Heart failure is an age-related disease with several major risk factors. Distinguishing markers of those risks from possible contributors to disease could help guide biomarker and drug-target development.
Caveats
The analysis assessed prediction and genetic associations, not whether changing these proteins would prevent heart failure. The findings concerned people without prior heart failure and were reported in a conference abstract.
The paper
Proteomics Reveals Molecular Mechanisms Underpinning Heart Failure and Related Risk Factors
Duke Univ; Duke Univ Med Cntr
AHA Scientific Sessions 2026 Abstract, Nov 2, 2026
Presented at AHA Scientific Sessions 2026, abstract 17903




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