ArticleAging2025
DNA methylation entropy is a biomarker for aging.
Article in Aging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
9 citing papers in PubMed.
- Tissue-Level Transcriptomic Entropy Reveals Organ-Specific Aging Patterns and Predicts Cancer Progression.Aging cell · 2026Article
- Article
- Embracing non-linearity in human ageing.Nature reviews. Genetics · 2026Review
- The entropic view of aging: from thermodynamics to biology.Life medicine · 2026Article
- Cellular Senescence as a Risk Factor in Head and Neck Cancer-Diagnostic and Therapeutic Perspective.Cancers · 2025Review
- DNA methylation signatures of frailty beyond age: a longitudinal study of female and male mice.bioRxiv : the preprint server for biology · 2025Article
- Aging by the clock and yet without a program.Nature aging · 2025Review
- Article
- A Biophysics of Epigenetic Rejuvenation.Cells · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The dynamic nature of epigenetic modifications has been leveraged to construct epigenetic clocks that accurately predict an individual's age based on DNA methylation levels. Here we explore whether the accumulation of epimutations, which can be quantified by Shannon's entropy, changes reproducibly with age. Using targeted bisulfite sequencing, we analyzed the associations between age, entropy, and methylation levels in human buccal swab samples. We find that epigenetic clocks based on the entropy of methylation states predict chronological age with similar accuracy as common approaches that are based on methylation levels of individual cytosines. Our approach suggests that across many genomic loci, methylation entropy changes reproducibly with age.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.