Literature DB >> 26153245

Alterations of a Cellular Cholesterol Metabolism Network Are a Molecular Feature of Obesity-Related Type 2 Diabetes and Cardiovascular Disease.

Jingzhong Ding1, Lindsay M Reynolds2, Tanja Zeller3, Christian Müller3, Kurt Lohman2, Barbara J Nicklas1, Stephen B Kritchevsky1, Zhiqing Huang4, Alberto de la Fuente5, Nicola Soranzo6, Robert E Settlage7, Chia-Chi Chuang8, Timothy Howard1, Ning Xu9, Mark O Goodarzi9, Y-D Ida Chen10, Jerome I Rotter10, David S Siscovick11, John S Parks8, Susan Murphy4, David R Jacobs12, Wendy Post13, Russell P Tracy14, Philipp S Wild15, Stefan Blankenberg3, Ina Hoeschele7, David Herrington1, Charles E McCall1, Yongmei Liu16.   

Abstract

Obesity is linked to type 2 diabetes (T2D) and cardiovascular diseases; however, the underlying molecular mechanisms remain unclear. We aimed to identify obesity-associated molecular features that may contribute to obesity-related diseases. Using circulating monocytes from 1,264 Multi-Ethnic Study of Atherosclerosis (MESA) participants, we quantified the transcriptome and epigenome. We discovered that alterations in a network of coexpressed cholesterol metabolism genes are a signature feature of obesity and inflammatory stress. This network included 11 BMI-associated genes related to sterol uptake (↑LDLR, ↓MYLIP), synthesis (↑SCD, FADS1, HMGCS1, FDFT1, SQLE, CYP51A1, SC4MOL), and efflux (↓ABCA1, ABCG1), producing a molecular profile expected to increase intracellular cholesterol. Importantly, these alterations were associated with T2D and coronary artery calcium (CAC), independent from cardiometabolic factors, including serum lipid profiles. This network mediated the associations between obesity and T2D/CAC. Several genes in the network harbored C-phosphorus-G dinucleotides (e.g., ABCG1/cg06500161), which overlapped Encyclopedia of DNA Elements (ENCODE)-annotated regulatory regions and had methylation profiles that mediated the associations between BMI/inflammation and expression of their cognate genes. Taken together with several lines of previous experimental evidence, these data suggest that alterations of the cholesterol metabolism gene network represent a molecular link between obesity/inflammation and T2D/CAC.
© 2015 by the American Diabetes Association. Readers may use this article as long as the work is properly cited, the use is educational and not for profit, and the work is not altered.

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Year:  2015        PMID: 26153245      PMCID: PMC4587646          DOI: 10.2337/db14-1314

Source DB:  PubMed          Journal:  Diabetes        ISSN: 0012-1797            Impact factor:   9.461


  52 in total

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