Authors
Javier A Menendez, Carlos Peña-Garay, Tomás Alarcón, Elisabet Cuyàs
Published in
Aging and disease. Jun 05, 2026. Epub Jun 05, 2026.
Abstract
DNA methylation aging clocks are among the most accurate biomarkers of chronological and biological age, yet why the methylome encodes time with reproducible precision remains unclear. Current models emphasize developmental patterning, imperfect epigenetic maintenance, chromatin drift, and remodeling associated with DNA repair. However, they do not consider whether the persistent physical noise from Earth's radiation environment contributes to clock variance or coherence. Here, we propose DEEP-CLOCK, an experimental framework that uses the deep underground laboratory (LSC-DUL) at Canfranc (Spain) as a natural protector from a primary external stochastic input, namely surface-level cosmic-ray muons. DULs suppress the muon component of cosmic-ray background radiation by several orders of magnitude without eliminating endogenous biochemical noise and other radiation sources. This enables DNA methylation clocks to be interrogated as noise-limited biosensors by measuring mean epigenetic-age trajectories, clock-CpG variance, and methylation entropy under matched underground and above-ground conditions. Two outcomes are envisioned. Muon depletion may narrow clock variance while preserving the mean trajectory, which is consistent with improved timekeeping precision. Alternatively, muon depletion could reveal structured drift, altered slopes, or metastable offsets, suggesting that extreme radiobiological quietness could destabilize clock coherence. Neither outcome would by itself imply slowed aging, rejuvenation, or improved function alone. However, DEEP-CLOCK will test whether epigenetic clock behavior is fully intrinsic or partly calibrated by chronic low-dose radiobiological background. This reductionist framework could clarify the physical constraints on epigenetic timekeeping and inform how aging clocks function in shielded terrestrial, lunar, and Martian habitats during aging, disease, and future space habitation.
PMID:
42295084
Bibliographic data and abstract were imported from PubMed on 15 Jun 2026.
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