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Plasma proteins offer clues to biological aging and mortality risk (opens in a new tab)

news-medical.net · 2026-10-27

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The source study

Exploring mortality-linked proteins: Understanding their association with biological aging, disease phenotypes, signaling pathways, and their implications for longevity

Geromedicine · 2026
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4 claims in this story

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What the story carried across

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7 things the story did carry across
  • Primary LonGenity discovery analysis: 1,025 older adults, 4,265 plasma proteins, Cox proportional hazards modeling over mean 8.05 years, identifying 17 proteins associated with all-cause mortality.
  • Named mortality-protein directions: ERBB1 and ANTXR2 lower mortality risk; MIC-1/GDF15, HE4, and IGFBP-2 higher mortality risk.
  • Downstream associations with proteome-derived organismal and organ-specific biological age, including younger or older biological-age patterns across multiple organ systems.
  • External validation/replication in the Baltimore Longitudinal Study of Aging with 1,124 participants.
  • Observational design limitation: protein associations do not establish that the proteins cause aging or mortality.
  • The study does not establish a clinical blood test or validated individual prediction tool for lifespan or disease outcome.
  • Generalizability limitation: the discovery cohort consists of older adults, and broader population applicability is not established at abstract depth.
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study summary

Lead result

human in vivo

1Lead resulthuman in vivoIdentify plasma proteins whose baseline levels are associated with subsequent all-cause mortality in older adults.Prospective cohort discovery screen (LonGenity); high-throughput plasma proteomics with time-to-event modelingExpand

In plain English

In a prospective discovery analysis of 1,025 older adults from the LonGenity cohort, baseline levels of 4,265 plasma proteins were measured and associations with subsequent all-cause mortality were tested using Cox proportional hazards regression over a mean follow-up of 8.05 years. Seventeen plasma proteins were reported as significantly associated with all-cause mortality. Examples: 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 mortality risk. The abstract also reports links between several mortality-associated proteins and organismal or organ-specific biological age.

Key findings

  • Seventeen plasma proteins were significantly associated with all-cause mortality in the LonGenity discovery cohort (n = 1,025; 4,265 proteins measured; mean follow-up 8.05 years).
  • Higher baseline levels of ERBB1 (epidermal growth factor receptor) and ANTXR2 (anthrax toxin receptor 2) were associated with lower all-cause mortality risk.
“We conducted a prospective cohort study of 1,025 older adults from the LonGenity study, analyzing 4,265 plasma proteins.”
What this piece can’t prove
  • Observational/prospective cohort design: associations do not establish causation.
  • High-dimensional discovery screening (4,265 proteins) implies multiple-testing concerns; the abstract does not state the correction method or statistical thresholds used.

3 further details could not be confirmed from the summary.

2human in vivoCharacterize how mortality-associated proteins relate to chronic disease burden and proteome-derived measures of organismal and organ-specific biological aging (pathway/phenotype interpretation within cohort data).observational association analyses (cross-sectional within cohort)Expand

In plain English

In the LonGenity cohort (n=1,025 older adults), the subset of plasma proteins previously identified as associated with all-cause mortality were further analyzed for cross-sectional associations with chronic disease burden and proteome-derived measures of biological aging at the organismal and organ-specific levels. The abstract reports that higher ERBB1 and ANTXR2 levels were linked to lower mortality risk and younger biological age across multiple organ systems, whereas higher MIC-1 (GDF15), HE4, and IGFBP-2 levels were linked to increased mortality and older biological age across multiple organ systems; MIC-1 was specifically associated with older organismal biological age and ERBB1 with younger liver biological age. The abstract notes these associations were independently replicated in the BLSA cohort (n=1,124).

Key findings

  • Higher plasma ERBB1 (epidermal growth factor receptor) and ANTXR2 levels were associated with lower mortality risk and younger biological age across multiple organ systems in LonGenity.
  • Higher plasma MIC-1 (GDF15), HE4, and IGFBP-2 levels were associated with increased mortality and older biological age across multiple organ systems in LonGenity.
“Mortality-associated proteins were further examined for their relationships with chronic disease burden and proteome-derived measures of organismal and organ-specific biological aging.”
What this piece can’t prove
  • Abstract does not provide quantitative effect sizes, confidence intervals, or full model specifications for the protein–aging and protein–disease-burden associations.

4 further details could not be confirmed from the summary.

3human in vivoIndependently validate/replicate the mortality–protein (and related aging/phenotype) associations in an external cohort (BLSA).external cohort replication (BLSA)Expand

In plain English

The paper reports that the mortality-associated plasma protein findings and their relationships with organismal and organ-specific biological aging identified in the LonGenity discovery cohort were independently validated/replicated in an external cohort, the Baltimore Longitudinal Study of Aging (BLSA; n = 1,124). The abstract does not provide cohort-specific analytic details, effect sizes, or which of the 17 proteins were individually replicated.

Key findings

  • The authors report independent replication of the LonGenity-discovered associations between mortality-associated plasma proteins and measures of organismal and organ-specific biological aging in the Baltimore Longitudinal Study of Aging (n = 1,124).
“Findings were independently validated in 1,124 participants from the Baltimore Longitudinal Study of Aging (BLSA).”
What this piece can’t prove

3 further details could not be confirmed from the summary.

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Exploring mortality-linked proteins: Understanding their association with biological aging, disease phenotypes, signaling pathways, and their implications for longevity

Geromedicine · 2026

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Exploring mortality-linked proteins: Understanding their association with biological aging, disease phenotypes, signaling pathways, and their implications for longevity

Geromedicine · 2026 · Crossref

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