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Blood methylation framework links aging hallmarks to organ patterns across humans

The computational approach identified reproducible conditional dependencies across two cohorts, highlighting stem cell maintenance and senescence regulation as broad markers of organ aging.

Preprints.org · Xiong J · Paper published 28 Sep 2026

Paper

In a preprint analyzing blood DNA methylation from 656 discovery and 1,394 replication human participants, researchers introduced RootMap to evaluate relationships between aging hallmarks and organ-aging patterns. The team scored 332 gene modules for intrinsic capability and defined dependencies as differences in organ-age associations based on hallmark scores. Twenty-two hallmark-organ pairs passed quality checks, with 17 of 20 retaining their direction in replication. Stem-cell maintenance linked to 12 organ modules in the discovery cohort, whereas senescence regulation was broadest in the replication cohort. Functional modules altered their scores during interventions more often than hallmark modules (25.4% versus 14.4%). Applying functional-layer filters to a protein-interaction drug screen increased candidate hit enrichment from 3.19-fold to 8.87-fold.

Why it matters

Understanding how systemic hallmark states correlate with individual organ aging helps researchers prioritize molecular targets that influence multiple physiological systems. The framework also offers a structured method to select relevant biomarkers for longitudinal longevity trials.

Caveats

The study is a preprint evaluating observational blood methylation patterns rather than proving direct biological control within organs. Furthermore, the hit enrichment gain from functional-layer filtering did not achieve statistical significance over target-matched random draws.

Written from the paper’s abstract, and every claim checked against it before publishing. Read the paper for the full methods and data.

The paper

RootMap: A Longevity Medicine Framework for Mapping Conditional Dependencies Between Aging Hallmarks and Organ-Aging Patterns

Xiong J

Preprints.org · 28 Sep 2026 · Preprint, not yet peer-reviewed

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