2015
DOI: 10.2337/db14-1314
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Alterations of a Cellular Cholesterol Metabolism Network Are a Molecular Feature of Obesity-Related Type 2 Diabetes and Cardiovascular Disease

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 in… Show more

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Cited by 89 publications
(79 citation statements)
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“…DHCR24 (24-dehydrocholesterol reductase) catalyzes the reduction of sterol intermediates during cholesterol synthesis. Differential methylation of SREBF1, CPT1A, ABCG1, and DHCR24 has been reported in previous EWASs of adiposity, glycemic traits, and lipids [29][30][31][71][72][73][74][75][76]. We add to the published literature and provide evidence that differential methylation at the ABCG1 locus is likely a downstream effect of BMI.…”
Section: Differential Methylation Is Identified In Loci Known To Be Isupporting
confidence: 57%
See 1 more Smart Citation
“…DHCR24 (24-dehydrocholesterol reductase) catalyzes the reduction of sterol intermediates during cholesterol synthesis. Differential methylation of SREBF1, CPT1A, ABCG1, and DHCR24 has been reported in previous EWASs of adiposity, glycemic traits, and lipids [29][30][31][71][72][73][74][75][76]. We add to the published literature and provide evidence that differential methylation at the ABCG1 locus is likely a downstream effect of BMI.…”
Section: Differential Methylation Is Identified In Loci Known To Be Isupporting
confidence: 57%
“…The majority of BMI-related CpGs (65%-85% of CpGs depending on the cohort) had mean sample CpG methylation levels between 20% and 80% (S4 Table). Fifty of the 83 replicated differentially methylated CpGs have not been previously reported in microarraybased EWASs of BMI [28][29][30][31][32][33][34][35][36] (Table 3). Age and sex interactions among the BMI EWAS findings.…”
Section: Epigenome-wide Association Study Of Bmimentioning
confidence: 99%
“…This PM cholesterol accumulation and insulin resistance model is in accord with recent gene expression network studies (Ding et al. 2015; Fall et al. 2015).…”
Section: Discussionmentioning
confidence: 99%
“…Recent whole-genome transcriptome studies demonstrated different gene pathways activation in obese subjects. Lee et al [50] investigated a time-course change in gene expression in mice during 24 weeks high fat diet, and identified differential expressed gene in oxidative phosphorylation, lipid metabolism and cell cycle pathways. The authors also investigated the differences in brown adipose tissue (BAT) genes respect to white adipose tissue (WAT), reporting increased levels of leptin and adiponectin in BAT and a consequent differential immune response [50].…”
Section: Nutrigenomic Approaches To Obesitymentioning
confidence: 99%
“…Lee et al [50] investigated a time-course change in gene expression in mice during 24 weeks high fat diet, and identified differential expressed gene in oxidative phosphorylation, lipid metabolism and cell cycle pathways. The authors also investigated the differences in brown adipose tissue (BAT) genes respect to white adipose tissue (WAT), reporting increased levels of leptin and adiponectin in BAT and a consequent differential immune response [50]. A similar study measured the gene expression changes in mice WAT and liver tissues after long-term high fat diet, and confirmed a transcriptome transition in the 24 analyzed weeks, that evolved in the perturbation of lipid metabolism and immune system homeostasis [51].…”
Section: Nutrigenomic Approaches To Obesitymentioning
confidence: 99%