ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2026
Biomarkers help us understand how cellular and systemic aging contribute to mortality: a study utilizing a machine-learning approach in the Health and Retirement Study.
Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
2 citing papers in PubMed.
- Residential exposure to deadly gun violence and accelerated biological aging in a national sample of U.S. adolescents.SSM - population health · 2026Article
- The contribution of social and economic factors to accelerated biological aging differences between non-Hispanic Black and White adults in the Health and Retirement Study.The journals of gerontology. Series A, Biological sciences and medical sciences · 2026Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
backgroundResearch suggests aging is a coordinated physiological decline occurring in multiple systems and at multiple biological levels. However, it is largely unknown how general biological aging and specific systemic aging co-occur and influence one another to affect health outcomes. There is also emerging interest in understanding how social exposures may differentially accelerate decline in individual physiological systems.
methodsWe utilize data from the Health and Retirement Study, a nationally representative sample of about 4000 US adults over age 55. We used eXtreme Gradient Boosting (xgboost) in a training subsample to create system-specific mortality risk scores based on sets of biomarkers representing biological systems (eg, brain and nervous system, adaptive immune system, cardiovascular system, renal system) as well as general multisystem aging.
resultsResults suggest that the effects of most biological systems may be well captured by one or a small number of biomarkers and that female sex appears to be a protective or risk factor depending on specific biological system.
conclusionsThe importance of studying both general and system-specific aging is discussed.
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Registered trials
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