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Epigenetic Mechanisms of Aging and Aging-Associated Diseases
Annamaria la Torre, Filomena Lo Vecchio, Antonio Greco
Cells · 2023 · ▲ 101 citations
Abstract
Aging is an inevitable outcome of life, characterized by a progressive decline in tissue and organ function. At a molecular level, it is marked by the gradual alterations of biomolecules. Indeed, important changes are observed on the DNA, as well as at a protein level, that are influenced by both genetic and environmental parameters. These molecular changes directly contribute to the development or progression of several human pathologies, including cancer, diabetes, osteoporosis, neurodegenerative disorders and others aging-related diseases. Additionally, they increase the risk of mortality. Therefore, deciphering the telomere(definition) attrition, cellular senescence(definition))." style="text-decoration:underline dotted; text-underline-offset:2px; cursor:help;">hallmarks of aging(definition) represents a possibility for identifying potential druggable targets to attenuate the aging process, and then the age-related comorbidities. Given the link between aging, genetic, and epigenetic alterations, and given the reversible nature of epigenetic mechanisms, the precisely understanding of these factors may provide a potential therapeutic approach for age-related decline and disease. In this review, we center on epigenetic regulatory mechanisms and their aging-associated changes, highlighting their inferences in age-associated diseases.
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- 10.3390/cells12081163
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- 2026-06-13 MST
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APA
Torre, A.L., Vecchio, F.L., & Greco, A. (2023). Epigenetic Mechanisms of Aging and Aging-Associated Diseases. <em>Cells</em>. https://doi.org/10.3390/cells12081163
Vancouver
Torre AL, Vecchio FL, Greco A. Epigenetic Mechanisms of Aging and Aging-Associated Diseases. Cells. 2023. doi:10.3390/cells12081163.
BibTeX
@article{annamaria2023Epigen,
title = {Epigenetic Mechanisms of Aging and Aging-Associated Diseases},
author = {Annamaria la Torre and Filomena Lo Vecchio and Antonio Greco},
journal = {Cells},
year = {2023},
doi = {10.3390/cells12081163},
}
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