DNA
计算生物学
计算机科学
细胞生物学
生物
遗传学
作者
Alexander V. Sergeev,О. V. Kisil,Andrey A Eremin,Anton S. Petrov,Maria I. Zvereva
出处
期刊:Biokhimiya
[Pleiades Publishing]
日期:2025-02-01
卷期号:90 (S1): S342-S355
被引量:3
标识
DOI:10.1134/s0006297924604076
摘要
Aging is associated with systemic changes in the physiological and molecular parameters of the body. These changes are referred to as biomarkers of aging. Statistical models that link changes in individual biomarkers to biological age are called aging clocks. These tools facilitate a comprehensive evaluation of bodily health and permit the quantitative determination of the rate of aging. A particularly promising area for the development of aging clocks is the analysis of cell-free DNA (cfDNA), which is present in the blood and contains numerous potential biomarkers. This review explores in detail the fragmentomics, topology, and epigenetic landscape of cfDNA as possible biomarkers of aging. The review further underscores the potential of leveraging single-molecule sequencing of cfDNA in conjunction with long-read technologies to simultaneously profile multiple biomarkers, a strategy that could lead to the development of more precise aging clocks.
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