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Researchers identified 17 plasma proteins statistically associated with all-cause mortality among older adults, then replicated key associations in a separate cohort. Several proteins also tracked with biological-age measures, but the study does not show that they cause aging or can predict an individual’s lifespan.
A study published in Geromedicine identified 17 plasma proteins associated with all-cause mortality among older adults, with several also linked to biological-age measures across multiple organ systems. Researchers analyzed blood-protein data from 1,025 LonGenity participants and tested key findings in a separate group of 1,124 participants, offering candidates for further research—not a clinical test or proof that the proteins cause aging or death.
In the study published in Geromedicine, researchers assessed 4,265 plasma proteins in the LonGenity cohort, whose participants were followed for an average of 8.05 years. Using Cox proportional-hazards models, they examined how protein levels were associated with mortality from any cause. They then considered whether proteins linked to mortality were also associated with chronic disease burden and biological-age measures for the whole body and specific organs.
According to the study’s reported results, higher levels of ERBB1, also called the epidermal growth factor receptor, and ANTXR2, or anthrax toxin receptor 2, 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 investigators, not evidence that changing protein levels would alter health outcomes.
The paper also reports more specific associations: elevated MIC-1/GDF15 was associated with older organismal biological age, while ERBB1 was associated with younger liver biological age. The researchers evaluated key associations in 1,124 participants from the Baltimore Longitudinal Study of Aging. The paper lists authors affiliated with institutions including Albert Einstein College of Medicine, Stony Brook University, the National Institute on Aging and Stanford University School of Medicine.
Blood Signals for Aging Research
The findings connect mortality-associated blood proteins with measures intended to capture biological aging, which may differ from a person’s chronological age. As the study authors discuss, that connection could help researchers investigate why people of similar ages have different levels of disease, resilience and health, and which physiological processes may be involved.
The results are not a way to calculate an individual’s lifespan. The study did not establish a validated clinical test, nor show that any protein causes aging or mortality. Its value at this stage is in identifying candidate biomarkers and pathways for further investigation. Readers should not interpret the associations as personal risk estimates or as a basis for medical decisions.
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Two Cohorts, One Protein Analysis
Chronological age counts years lived; biological-age measures aim to describe aspects of how the body, or particular organs, are aging. In this study, investigators used proteome-derived measures—estimates based on patterns in proteins—to explore whether mortality-linked proteins also tracked with aging across the body and its organ systems.
As described in the paper, the analysis began with the LonGenity cohort and used the Baltimore Longitudinal Study of Aging to independently evaluate key associations. This second-cohort check adds support that some observed relationships were not limited to the first sample, but it does not by itself prove that the proteins will predict outcomes in other populations or work as clinical markers. The open-access paper by Garvey and colleagues is titled “Exploring mortality-linked proteins: Understanding their association with biological aging, disease phenotypes, signaling pathways, and their implications for longevity” and appeared in Geromedicine in 2026.
Prediction and Causation Remain Open
The Geromedicine paper describes associations; it does not establish that the proteins cause biological aging, chronic disease or death. The results also do not show that measuring these proteins can accurately predict an individual’s lifespan or future disease. The study authors present them as candidates for additional research, not as a ready-to-use clinical blood test.
Further work would need to clarify the biological mechanisms behind the relationships and test how reliably the findings apply to other groups. The report of the study does not provide enough detail to determine how well a combined protein-based measure predicts individual outcomes, or whether acting on these protein levels could improve health.
Testing the Biomarkers Further
The next step, as indicated by the study’s findings, is further mechanistic and clinical investigation of the proteins and their links to aging, disease and mortality. Researchers will need to establish whether the associations hold across broader populations and whether the proteins add useful information beyond existing health measures.
Until those questions are addressed, the findings should be treated as research evidence rather than a screening tool or treatment guide. The paper reports no announced clinical test or intervention based on these results. Any future use in care would require additional validation and evidence that measuring the proteins meaningfully improves decisions or outcomes.
Key Questions
What did the study find?
Researchers found 17 plasma proteins associated with all-cause mortality in a cohort of older adults. Several also tracked with biological-age measures, and key associations were evaluated in a second cohort.
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 reports associations, not proof that the proteins protect health.
Which proteins were linked to higher mortality risk?
Higher levels of MIC-1/GDF15, HE4 and IGFBP-2 were associated with higher mortality risk and older biological age across multiple organ systems.
Can a blood test based on these results predict my lifespan?
No clinical test is established by this study. The findings do not show that these proteins can predict an individual’s lifespan or disease outcome, and they should not be used for personal medical decisions.
Does the study show that these proteins cause aging?
No. The researchers reported statistical associations; the results do not establish cause and effect. Further research is needed to investigate the biological mechanisms and possible clinical relevance.
Source: news-medical.net
