Genome-wide analysis reveals DNA methylation markers that varies with both age and obesity.
Author: Almén MS1, Nilsson EK2, Jacobsson JA1, Kalnina I3, Klovins J3, Fredriksson R1, Schiöth HB1.
Affiliation:
1Department of Neuroscience, Functional Pharmacology, Uppsala University, BMC, Box 593, 751 24, Uppsala, Sweden. 2Department of Neuroscience, Functional Pharmacology, Uppsala University, BMC, Box 593, 751 24, Uppsala, Sweden. Electronic address: emil.nilsson@neuro.uu.se. 3Latvian Biomedical Research and Study Centre, University of Latvia, Ratsupites 1, LV 1067, Riga, Latvia.
Conference/Journal: Gene
Date published: 2014 Jul 7
Other:
Pages: S0378-1119(14)00772-0 , Special Notes: doi: 10.1016/j.gene.2014.07.009 , Word Count: 198
The combination of the Obesity epidemic and an aging population presents growing challenges for the healthcare system. Obesity and aging are major risk factors for a diverse number of diseases and it is of importance to understand their interaction and the underlying molecular mechanisms. Herein the authors examined the methylation levels of 27578 CpG sites in 46 samples from adult peripheral blood. The effect of obesity and aging was ascertained with general linear models. More than one hundred probes were correlated to aging, nine of which belonged to the KEGG group map04080. Additionally, 10 CpG sites were had diverse methylation profiles in obese and lean individuals, one of which was the telomerase catalytic subunit (TERT). In eight of ten cases the methylation change was reverted between obese and lean individuals. One region proved to be differentially methylation with obesity (LINC00304) independent of age. This study provides evidence that obesity influences age driven epigenetic changes, which provides a molecular link between aging and obesity. This link and the identified markers may prove to be valuable biomarkers for the understanding of the molecular basis of aging, obesity and associated diseases.
Copyright © 2014 Elsevier B.V. All rights reserved.
KEYWORDS:
aging; epigenetics; microarray; obesity
PMID: 25010727
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