2017
DOI: 10.1371/journal.pone.0187038
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DNA methylation and gene expression of TXNIP in adult offspring of women with diabetes in pregnancy

Abstract: BackgroundFetal exposure to maternal diabetes increases the risk of type 2 diabetes (T2DM), possibly mediated by epigenetic mechanisms. Low blood TXNIP DNA methylation has been associated with elevated glucose levels and risk of T2DM, and increased skeletal muscle TXNIP gene expression was reported in subjects with impaired glucose metabolism or T2DM. Subcutaneous adipose tissue (SAT) and skeletal muscle play a key role in the control of whole body glucose metabolism and insulin action. The extent to which TXN… Show more

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Cited by 20 publications
(12 citation statements)
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“…Increased TXNIP expression was shown to inhibit insulin-mediated glucose uptake in skeletal muscle and adipocytes. However, in this study, no changes were observed in the muscles [64]. It should also be mentioned that valuable data can be extracted from the Danish National Birth Cohort (dnbc.dk).…”
Section: Studies On Adult Offspringmentioning
confidence: 52%
“…Increased TXNIP expression was shown to inhibit insulin-mediated glucose uptake in skeletal muscle and adipocytes. However, in this study, no changes were observed in the muscles [64]. It should also be mentioned that valuable data can be extracted from the Danish National Birth Cohort (dnbc.dk).…”
Section: Studies On Adult Offspringmentioning
confidence: 52%
“…We carried out correlation analysis to detect whether DNA methylation causes CAD by regulating gene expression. The addition of methyl groups at cytosine-guanine dinucleotides (CpGs) in regulatory/promoter regions in DNA, known as DNA methylation, typically leads to transcriptional repression and decreased expression of the gene in question [ 6 ]. However, the DNA methylation was positively correlated with the gene expression in BDNF, IL-6 and PIK3R1.…”
Section: Resultsmentioning
confidence: 99%
“…Methylation of the DNA promoter region regulates its expression by leading to transcriptionally silencing. It has been demonstrated that abnormal DNA methylation level is involved in GDM pathogenesis . Thus, methylation data from GSE70494 data set were used to analyze the methylation levels of hub genes between GDM and health samples.…”
Section: Methodsmentioning
confidence: 99%