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Cell Aging May Predict Future Disease

Plasma proteomic models of more than 40 cell types were associated with incident Alzheimer's disease, amyotrophic lateral sclerosis, cancer,  and mortality across three large cohorts.

  • By

  • Andrea Surnit

  • June 18, 2026

  • 4 min

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  • 1

    Plasma proteomic signatures of aging may predict future disease and mortality, aiding in the identification of high-risk patient groups.

  • 2

    Accelerated aging signatures in over 40 cell types were linked to disease status and incident disease over a 15-year follow-up.

  • 3

    Astrocyte aging was the strongest predictor of incident Alzheimer's disease, with extreme aging correlating to a 12.6-fold increased risk.

  • 4

    Cell-specific aging signatures were associated with various diseases, including cancer, type 2 diabetes, and chronic obstructive pulmonary disease.

  • 5

    The study suggests that plasma proteomics can noninvasively assess biological aging and its impact on disease susceptibility.

Original Source(s)

Cell Aging May Predict Future Disease

  • by Andrea Surnit

  • June 18, 2026

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