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Researchers identified 17 plasma proteins associated with all-cause mortality in older adults, using data from 1,025 LonGenity participants and checking key associations in a separate cohort of 1,124 people. Several proteins were also associated with biological-age measures across organ systems, but the study does not show that the proteins cause aging or can predict an individual’s lifespan.
A study of older adults has identified 17 plasma proteins associated with all-cause mortality, with several also linked to biological-age measures in multiple organ systems. Published in Geromedicine, the research analyzed blood-protein data from 1,025 participants and tested key findings in a separate group of 1,124 people; it reports associations, not a test that can predict an individual’s lifespan.
The researchers measured 4,265 proteins in blood samples from participants in the LonGenity study. They followed that group for an average of 8.05 years and used statistical models to assess whether protein levels were associated with the risk of death from any cause. They also examined links between the mortality-associated proteins, chronic disease burden and proteome-derived estimates of biological age for the body and individual organs.
Higher levels of ERBB1, also called epidermal growth factor receptor, and ANTXR2 were associated with lower mortality risk and younger biological age across multiple organ systems. Higher levels of MIC-1/GDF15, HE4 and IGFBP-2 were associated with higher mortality risk and older biological age across multiple systems. These are statistical relationships reported by the researchers; they do not establish that changing any protein level would change a person’s health or survival.
Some associations were more specific: elevated MIC-1/GDF15 was linked to older organismal biological age, while ERBB1 was associated with younger liver biological age. The researchers independently evaluated key associations in 1,124 participants from the Baltimore Longitudinal Study of Aging. The paper, by Garvey and colleagues, is available open access and lists a DOI of 10.70401/Geromedicine.2026.0042.
How Protein Patterns May Reflect Aging
The findings add to research seeking to explain why people of the same chronological age can differ in health, disease burden and resilience. A set of circulating proteins associated with both mortality and biological-age estimates may help researchers investigate the processes connecting systemic stress, physiological balance, chronic disease and aging.
The results could help prioritize candidate biomarkers for further research into healthy aging and longevity. They do not yet make the proteins useful for routine clinical decisions: the study reports group-level associations and does not establish a validated method to estimate an individual’s lifespan, diagnose disease or guide treatment. Any possible use in healthcare would require additional testing and evaluation.
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Two Cohorts Tested the Associations
The study addresses a distinction between chronological age, which records time since birth, and biological age, a research concept intended to capture how aging may vary across the body and its organs. The investigators used protein measurements to examine whether mortality-linked signals also appeared in measures of biological aging and chronic disease burden.
The primary analysis used LonGenity data, then the researchers checked key associations in the Baltimore Longitudinal Study of Aging cohort. This second-cohort evaluation provides evidence that the reported patterns were not limited to the initial group. However, the supplied study summary does not establish that the findings apply to all populations or describe a clinical validation study. The research involved investigators from Albert Einstein College of Medicine, Stony Brook University, the National Institute on Aging, Stanford University School of Medicine, Kannur University and collaborating institutions.
“The findings may help researchers better understand the biological pathways that connect systemic stress, physiological homeostasis, chronic disease and aging.”
— The study authors, as described in the report
What the Protein Links Cannot Show
The study does not show that the proteins cause aging, illness or death. Protein levels may be associated with other health conditions or biological processes, and the reported analyses cannot by themselves determine why the relationships occur. The results also do not establish how accurately any combination of these proteins would predict outcomes for an individual.
The available report does not provide the effect sizes or detailed performance measures needed to compare the strength of each association or assess a potential clinical test. It is also unclear from the supplied material how well the findings would generalize beyond the two study cohorts. Further mechanistic and clinical investigation is needed before these proteins could be considered for routine screening or care.
Further Testing Before Clinical Use
The next steps identified by the research are mechanistic studies to clarify how the proteins relate to aging and disease, alongside further research into their potential as biomarkers. Clinical evaluation would also be needed to determine whether measuring them can provide reliable information beyond existing health assessments.
No specific follow-up trial, timetable or planned clinical test is described in the supplied report. For now, the findings are best understood as associations in longitudinal research cohorts, with their potential role in studying aging still to be tested.
Key Questions
How many proteins were associated with mortality?
The researchers reported 17 plasma proteins significantly associated with all-cause mortality in their analysis of older adults.
Which proteins were linked to lower mortality risk?
Higher levels of ERBB1 and ANTXR2 were associated with lower mortality risk and younger biological age across multiple organ systems. The study did not show that these proteins cause lower risk.
Which proteins were associated with older biological age?
Higher levels of MIC-1/GDF15, HE4 and IGFBP-2 were associated with higher mortality risk and older biological age across multiple systems. The researchers also reported a link between elevated MIC-1/GDF15 and older organismal biological age.
Can a blood test based on these findings predict how long someone will live?
No. The study did not provide a clinical test for predicting an individual’s lifespan or disease outcome. It identified statistical associations that require further research.
Were the findings checked in another group of participants?
Yes. The researchers independently evaluated key associations in 1,124 participants from the Baltimore Longitudinal Study of Aging, after analyzing 1,025 LonGenity participants.
Source: news-medical.net
