Article ; Online: Epigenetic Biomarkers of Metabolic Responses to Lifestyle Interventions.
2023 Volume 15, Issue 19
Abstract: Studies have examined the possible utility of epigenetic phenomena (DNA methylation changes, covalent histone modifications, and miRNA expression patterns) in predicting individual responses to different lifestyle programs. Nonetheless, most available ... ...
Abstract | Studies have examined the possible utility of epigenetic phenomena (DNA methylation changes, covalent histone modifications, and miRNA expression patterns) in predicting individual responses to different lifestyle programs. Nonetheless, most available evidence is focused on identifying epigenetic marks eventually associated with body composition and adiposity outcomes, whereas their roles in metabolic endings remain less explored. This document comprehensively reviewed the evidence regarding the use of epigenetic signatures as putative biomarkers of metabolic outcomes (glycemic, lipid, blood pressure, and inflammatory/oxidative stress features) in response to different lifestyle interventions in humans. Although more investigation is still necessary in order to translate this knowledge in clinical practice, these scientific insights are contributing to the design of advanced strategies for the precise management of cardiometabolic risk, gaining understanding on metabolic heterogeneity, allowing for the prediction of metabolic outcomes, and facilitating the design of epigenome-based nutritional strategies for a more customized approach for metabolic alterations treatment under the scope of precision nutrition. |
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MeSH term(s) | Humans ; Epigenesis, Genetic ; DNA Methylation ; Biomarkers ; Obesity/genetics ; Life Style |
Chemical Substances | Biomarkers |
Language | English |
Publishing date | 2023-10-03 |
Publishing country | Switzerland |
Document type | Journal Article ; Review |
ZDB-ID | 2518386-2 |
ISSN | 2072-6643 ; 2072-6643 |
ISSN (online) | 2072-6643 |
ISSN | 2072-6643 |
DOI | 10.3390/nu15194251 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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