Open access · CC-BY
via OpenAlex
Epigenetic Clocks: Beyond Biological Age, Using the Past to Predict the Present and Future
Runyu Liang, Qiang Tang, Jia Chen, Luwen Zhu
Aging and Disease · 2024 · ▲ 16 citations
Abstract
Predicting health trajectories and accurately measuring aging processes across the human lifespan remain profound scientific challenges. Assessing the effectiveness and impact of interventions targeting aging is even more elusive, largely due to the intricate, multidimensional nature of aging-a process that defies simple quantification. Traditional biomarkers offer only partial perspectives, capturing limited aspects of the aging landscape. Yet, over the past decade, groundbreaking advancements have emerged. Epigenetic clocks, derived from DNA methylation patterns, have established themselves as powerful aging biomarkers, capable of estimating biological age and assessing aging rates across diverse tissues with remarkable precision. These clocks provide predictive insights into mortality and age-related disease risks, effectively distinguishing biological age from chronological age and illuminating enduring questions in gerontology. Despite significant progress in epigenetic clock(definition) development, substantial challenges remain, underscoring the need for continued investigation to fully unlock their potential in the science of aging.
◌ CITATION ONLY
Full text is not openly licensed for redistribution here. Read it at the source:
Provenance
- Source
- OpenAlex
- DOI
- 10.14336/ad.2024.1495
- Canonical
- link ↗
- Fetched
- 2026-07-28 MST
Cite this
APA
Liang, R., Tang, Q., Chen, J., & Zhu, L. (2024). Epigenetic Clocks: Beyond Biological Age, Using the Past to Predict the Present and Future. <em>Aging and Disease</em>. https://doi.org/10.14336/ad.2024.1495
Vancouver
Liang R, Tang Q, Chen J, Zhu L. Epigenetic Clocks: Beyond Biological Age, Using the Past to Predict the Present and Future. Aging and Disease. 2024. doi:10.14336/ad.2024.1495.
BibTeX
@article{runyu2024Epigen,
title = {Epigenetic Clocks: Beyond Biological Age, Using the Past to Predict the Present and Future},
author = {Runyu Liang and Qiang Tang and Jia Chen and Luwen Zhu},
journal = {Aging and Disease},
year = {2024},
doi = {10.14336/ad.2024.1495},
}
Research neighborhood
References, citing works, and semantically nearest findings. Click a node to open it.
Related findings
Elsevier eBooks 2017
Citation only
The Epigenetic Clock and Aging
Nature Aging 2021
Preprint · OA
Profiling epigenetic age in single cells
Scientific reports 2026
Open access · OA
Longitudinal association of circulating inflammatory biomarkers with epigenetic ageing in the Young Finns Study.
Journal of Internal Medicine 2022
Citation only
Epigenetic aging: Biological age prediction and informing a mechanistic theory of aging
Cells 2023
Open access · CC-BY
Reappraisal of the Concept of Accelerated Aging in Neurodegeneration and Beyond
Preprints.org 2023
Preprint · CC-BY