Literature DB >> 28052964

Whole-Genome Bisulfite Sequencing of Human Pancreatic Islets Reveals Novel Differentially Methylated Regions in Type 2 Diabetes Pathogenesis.

Petr Volkov1, Karl Bacos1, Jones K Ofori2, Jonathan Lou S Esguerra2, Lena Eliasson2, Tina Rönn1, Charlotte Ling3.   

Abstract

Current knowledge about the role of epigenetics in type 2 diabetes (T2D) remains limited. Only a few studies have investigated DNA methylation of selected candidate genes or a very small fraction of genomic CpG sites in human pancreatic islets, the tissue of primary pathogenic importance for diabetes. Our aim was to characterize the whole-genome DNA methylation landscape in human pancreatic islets, to identify differentially methylated regions (DMRs) in diabetic islets, and to investigate the function of DMRs in islet biology. Here, we performed whole-genome bisulfite sequencing, which is a comprehensive and unbiased method to study DNA methylation throughout the genome at a single nucleotide resolution, in pancreatic islets from donors with T2D and control subjects without diabetes. We identified 25,820 DMRs in islets from individuals with T2D. These DMRs cover loci with known islet function, e.g., PDX1, TCF7L2, and ADCY5 Importantly, binding sites previously identified by ChIP-seq for islet-specific transcription factors, enhancer regions, and different histone marks were enriched in the T2D-associated DMRs. We also identified 457 genes, including NR4A3, PARK2, PID1, SLC2A2, and SOCS2, that had both DMRs and significant expression changes in T2D islets. To mimic the situation in T2D islets, candidate genes were overexpressed or silenced in cultured β-cells. This resulted in impaired insulin secretion, thereby connecting differential methylation to islet dysfunction. We further explored the islet methylome and found a strong link between methylation levels and histone marks. Additionally, DNA methylation in different genomic regions and of different transcript types (i.e., protein coding, noncoding, and pseudogenes) was associated with islet expression levels. Our study provides a comprehensive picture of the islet DNA methylome in individuals with and without diabetes and highlights the importance of epigenetic dysregulation in pancreatic islets and T2D pathogenesis.
© 2017 by the American Diabetes Association.

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Year:  2017        PMID: 28052964     DOI: 10.2337/db16-0996

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


  51 in total

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Review 2.  An epigenetic association of malformations, adverse reproductive outcomes, and fetal origins hypothesis related effects.

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Journal:  J Assist Reprod Genet       Date:  2018-05-09       Impact factor: 3.412

Review 3.  Epigenetics in β-cell adaptation and type 2 diabetes.

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4.  DNA Analysis by Restriction Enzyme (DARE) enables concurrent genomic and epigenomic characterization of single cells.

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Review 5.  Epigenetics and Type 2 Diabetes Risk.

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Journal:  Curr Diab Rep       Date:  2019-06-27       Impact factor: 4.810

6.  Identification of Novel Regulatory Regions Induced by Intrauterine Growth Restriction in Rat Islets.

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Journal:  Endocrinology       Date:  2022-02-01       Impact factor: 4.736

Review 7.  Epigenetics Variation and Pathogenesis in Diabetes.

Authors:  Haichen Zhang; Toni I Pollin
Journal:  Curr Diab Rep       Date:  2018-10-02       Impact factor: 4.810

Review 8.  Epigenetic reprogramming in metabolic disorders: nutritional factors and beyond.

Authors:  Zhiyong Cheng; Louise Zheng; Fabio A Almeida
Journal:  J Nutr Biochem       Date:  2017-10-23       Impact factor: 6.048

Review 9.  DNA Methylation Patterning and the Regulation of Beta Cell Homeostasis.

Authors:  Nazia Parveen; Sangeeta Dhawan
Journal:  Front Endocrinol (Lausanne)       Date:  2021-05-07       Impact factor: 5.555

10.  Hypermethylation of Hepatic Mitochondrial ND6 Provokes Systemic Insulin Resistance.

Authors:  Ke Cao; Weiqiang Lv; Xueqiang Wang; Shanshan Dong; Xuyun Liu; Tielin Yang; Jie Xu; Mengqi Zeng; Xuan Zou; Daina Zhao; Qingqing Ma; Mu Lin; Jiangang Long; Weijin Zang; Feng Gao; Zhihui Feng; Jiankang Liu
Journal:  Adv Sci (Weinh)       Date:  2021-05-02       Impact factor: 16.806

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