Epigenome-wide association study of systemic effects of obesity susceptibility in human twins.

Autor: Duncan GE; Department of Nutrition and Exercise Physiology, Elson S. Floyd College of Medicine, Washington State University, Spokane, WA, USA., Avery A; Department of Nutrition and Exercise Physiology, Elson S. Floyd College of Medicine, Washington State University, Spokane, WA, USA., Maamar MB; Center for Reproductive Biology, School of Biological Sciences, Washington State University, Pullman, WA, USA., Nilsson EE; Center for Reproductive Biology, School of Biological Sciences, Washington State University, Pullman, WA, USA., Beck D; Center for Reproductive Biology, School of Biological Sciences, Washington State University, Pullman, WA, USA., Skinner MK; Center for Reproductive Biology, School of Biological Sciences, Washington State University, Pullman, WA, USA.
Jazyk: angličtina
Zdroj: Epigenetics [Epigenetics] 2023 Dec; Vol. 18 (1), pp. 2268834. Date of Electronic Publication: 2023 Oct 23.
DOI: 10.1080/15592294.2023.2268834
Abstrakt: The current study was designed to use an epigenome-wide association approach (EWAS) to identify potential systemic DNA methylation alterations that are associated with obesity using 22 discordant twin pairs. Buccal cells (from a cheek swab) were used as a non-obesity relevant purified marker cell for the epigenetic analysis. Analysis of differential DNA methylation regions (DMRs) was used to identify epigenetic associations with metabolic and dietary measures related to obesity with discordant twins. An edgeR analysis provided a DMR signature with p  < 1e-04, but statistical significance was reduced due to low sample size and known multiple origins of obesity. A weighted gene coexpression network analysis (WGCNA) was performed and identified modules ( p  < 0.005) of epigenetic sites that correlated with different metabolic and dietary measures. The DMR and WGCNA epigenetic sites were near genes (e.g., CIDEC, SPP1, ZFPG9, and POMC) with previously identified obesity associated pathways (e.g., metabolism, cholesterol, and fat digestion). Observations demonstrate the feasibility of identifying systemic epigenetic biomarkers for obesity, which can be further investigated for clinical relevance in future research with larger sample sizes. The availability of a systemic epigenetic biomarker for obesity susceptibility may facilitate preventative medicine and clinical management of the disease early in life.
Databáze: MEDLINE