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ImAge quantitates aging and rejuvenation.

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Researchers developed an imaging-based chromatin and epigenetic age (ImAge) biomarker. This novel tool predicts biological and functional age more accurately than chronological age in mice.

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Area of Science:

  • Biogerontology
  • Epigenetics
  • Molecular Biology

Background:

  • Accurate biomarkers for biological aging are crucial for personalized healthcare and disease risk prediction.
  • Chronological age is an insufficient predictor of individual health trajectories and lifespan.
  • Novel biomarkers are needed to capture intrinsic age-related changes beyond chronological age.

Purpose of the Study:

  • To develop and validate an imaging-based biomarker of aging (ImAge) that assesses spatial organization of epigenetic marks in single nuclei.
  • To determine if ImAge can capture intrinsic age-related trajectories and predict functional age.
  • To investigate the effects of aging interventions on ImAge.

Main Methods:

  • Developed ImAge by analyzing spatial organization of chromatin and epigenetic marks in mouse single nuclei.
  • Computed ImAge using various epigenetic marks and DNA labeling techniques.
  • Assessed ImAge changes in response to chemotherapy, caloric restriction, and partial reprogramming.

Main Results:

  • ImAge trajectories emerged as principal changes independent of chronological age.
  • Interventions like chemotherapy, caloric restriction, and reprogramming modulated ImAge.
  • ImAge inversely correlated with locomotor activity in chronologically identical mice, suggesting functional age correlation.

Conclusions:

  • ImAge is a novel, single-cell resolution imaging-based biomarker of aging.
  • ImAge captures intrinsic biological and functional aging processes rooted in epigenetic organization.
  • ImAge shows promise for predicting disease risk and guiding personalized healthcare strategies.