2018
DOI: 10.1210/jc.2018-01659
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Reduced Insulin Receptor Expression and Altered DNA Methylation in Fat Tissues and Blood of Women With GDM and Offspring

Abstract: Context Altered expression of the insulin receptor (IR) in adipose tissue (AT) could contribute to gestational diabetes mellitus (GDM) etiopathogenesis. Transcriptional regulation via epigenetic mechanisms (e.g., DNA methylation) may play a critical role. However, the human IR promoter DNA methylation patterns and involvement in gene expression are unknown. Objective We evaluated IR mRNA and protein expression accompanied by … Show more

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Cited by 28 publications
(37 citation statements)
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“…However, recent data support the suggestion of an explicit part of VAT and visceral adiposity in GDM [18,[36][37][38][39]. Particularly, the expression of insulin receptor and adiponectin were found to be altered in GDM patients, accompanied by altered promoter methylation [16,17]. Importantly, this has been shown to occur even independent of the BMI, which is so far the only adipogenic indicator/marker clinically considered in GDM screening/treatment but, on the other hand, hardly serves as a marker for visceral type of obesity.…”
Section: Discussionmentioning
confidence: 74%
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“…However, recent data support the suggestion of an explicit part of VAT and visceral adiposity in GDM [18,[36][37][38][39]. Particularly, the expression of insulin receptor and adiponectin were found to be altered in GDM patients, accompanied by altered promoter methylation [16,17]. Importantly, this has been shown to occur even independent of the BMI, which is so far the only adipogenic indicator/marker clinically considered in GDM screening/treatment but, on the other hand, hardly serves as a marker for visceral type of obesity.…”
Section: Discussionmentioning
confidence: 74%
“…The research presented here is part of the prospective observational 'Early CHARITÉ (EaCH)' cohort study [16,17,19,44]. Genes involved in the inflammatory process were further investigated on the cases in which the optimal material and factors (such as transcription, metabolic and hormonal) could be measured in a complete set so as to avoid a missing data bias.…”
Section: Subject Datamentioning
confidence: 99%
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