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Researchers identified 17 plasma proteins associated with all-cause mortality in older adults, and several were also linked to biological-age measures across organ systems. Key associations were replicated in a second cohort, but the findings do not show that the proteins cause aging or provide a clinical lifespan prediction test.
A study of 1,025 older adults found that levels of 17 plasma proteins were significantly associated with all-cause mortality, and several also tracked with biological-age measures across multiple organ systems. Researchers independently evaluated key findings in 1,124 participants from a second study, but said the results show associations, not that the proteins cause aging or death.
Published in Geromedicine, the research measured 4,265 proteins in blood samples from participants in the LonGenity study. The researchers followed participants for an average of 8.05 years and used statistical models to examine whether protein levels were associated with all-cause mortality. They then assessed links between mortality-associated proteins, chronic disease burden and proteome-derived estimates of biological age for the body and individual organs.
Among the reported findings, higher levels of ERBB1 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. The study also reported more specific associations: MIC-1/GDF15 was linked to older organismal biological age, while ERBB1 was linked to younger liver biological age.
The researchers tested their findings in participants from the Baltimore Longitudinal Study of Aging. Key associations were independently replicated in that cohort, according to the report. The study, titled “Exploring mortality-linked proteins: Understanding their association with biological aging, disease phenotypes, signaling pathways, and their implications for longevity,” was conducted by researchers from Albert Einstein College of Medicine, Stony Brook University, the National Institute on Aging, Stanford University School of Medicine, Kannur University and collaborating institutions.
How Protein Patterns Relate to Aging
The findings add evidence that blood protein patterns may reflect differences in health and aging among people of similar chronological age. Biological-age measures aim to capture aspects of how the body, or particular organs, are functioning and aging, rather than simply counting years lived. The study’s links between mortality-associated proteins and multiple organ-system measures may help researchers investigate biological processes associated with physiological stress, chronic disease and aging.
For readers, the main relevance is scientific rather than clinical: the proteins are candidates for further research, not established tests for an individual’s lifespan or future health. The study does not establish that changing a protein level would change a person’s mortality risk. Its results may guide research into pathways that support healthy aging, but they do not yet support personal medical decisions or predictions.
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Two Cohorts Test Protein Associations
The study addresses a question in geroscience: why people of the same chronological age can have different health, disease burdens and resilience. Researchers distinguish that measure—the time elapsed since birth—from biological age, which seeks to describe how the body or its organs may be aging. Protein measurements offer one way to investigate those differences, though a statistical association does not by itself explain the underlying mechanism.
The researchers first examined the LonGenity cohort, then evaluated key results in the Baltimore Longitudinal Study of Aging. This second-cohort analysis provides a check on whether associations observed in the primary group also appear in another group of participants. The article is available open access in Geromedicine; the reported results concern older-adult cohorts and should not automatically be generalized to every age group.
“The analysis identified 17 proteins significantly associated with all-cause mortality.”
— The study authors, as summarized in the report
Limits of the Mortality Findings
The results do not show whether the proteins cause changes in biological aging, contribute to mortality, or instead reflect other underlying processes. The reported associations also do not establish that the proteins can predict an individual’s lifespan or disease outcome. The study is not a validated clinical blood test, and the report gives no basis for using its findings to guide diagnosis or treatment.
Further work is needed to understand the biological mechanisms behind the associations and whether they hold in broader populations. The supplied report does not specify a clinical threshold for any protein, describe a test intended for routine use, or show that modifying protein levels improves health or longevity.
Research Needed Before Clinical Use
The findings identify proteins for mechanistic and clinical investigation, rather than announcing a ready-to-use screening tool. Follow-up research would need to examine how these proteins relate to aging processes, test the associations in additional populations and determine whether they add useful information beyond existing health measures. Studies would also need to establish whether any resulting measurement can reliably inform clinical care.
For now, the main next step is further research into the pathways linking protein levels, disease and aging. The source report does not give a timeline for additional studies or say that a clinical test is in development.
Key Questions
What did the study find?
Researchers identified 17 plasma proteins associated with all-cause mortality among older adults. Several were also associated with biological-age measures across multiple organ systems.
Which proteins were linked to lower or higher mortality risk?
Higher ERBB1 and ANTXR2 levels were associated with lower mortality risk, while higher MIC-1/GDF15, HE4 and IGFBP-2 levels were associated with higher risk. These are statistical associations, not proof that the proteins cause those outcomes.
Does this research provide a test to predict lifespan?
No. The study does not provide a clinical blood test for predicting an individual’s lifespan or disease outcome. The proteins are candidates for further research.
Were the results checked in another group?
Yes. The researchers evaluated key findings in 1,124 participants from the Baltimore Longitudinal Study of Aging, where key associations were independently replicated, according to the report.
Do the findings show that these proteins cause aging?
No. The study reports associations and does not establish that the proteins cause aging or mortality. More research is needed to investigate the mechanisms involved.
Source: news-medical.net
