Literature DB >> 27229720

DNA Methylation: An Epigenetic Insight into Type 2 Diabetes Mellitus.

Fahmida Alam, Md Asiful Islam, Siew Hua Gan, Mafauzy Mohamed, Teguh Haryo Sasongko1.   

Abstract

DNA methylation, a major regulator of epigenetic modifications has been shown to alter the expression of genes that are involved in aspects of glucose metabolism such as glucose intolerance, insulin resistance, β-cell dysfunction and other conditions, and it ultimately leads to the pathogenesis of type 2 diabetes mellitus (T2DM). Current evidences indicate an association of DNA methylation with T2DM. This review provides an overview of how various factors play crucial roles in T2DM pathogenesis and how DNA methylation interacts with these factors. Additionally, an update on current techniques of DNA methylation analysis with their pros and cons is provided as a basis for the adoption of suitable techniques in future DNA methylation research towards better management of T2DM. To elucidate the mechanistic relationship between vital environmental factors and the development of T2DM, a better understanding of the changes in gene expression associated with DNA methylation at the molecular level is still needed.

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Year:  2016        PMID: 27229720     DOI: 10.2174/1381612822666160527111152

Source DB:  PubMed          Journal:  Curr Pharm Des        ISSN: 1381-6128            Impact factor:   3.116


  7 in total

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4.  The human aortic endothelium undergoes dose-dependent DNA methylation in response to transient hyperglycemia.

Authors:  Mark E Pepin; Concetta Schiano; Marco Miceli; Giuditta Benincasa; Gelsomina Mansueto; Vincenzo Grimaldi; Andrea Soricelli; Adam R Wende; Claudio Napoli
Journal:  Exp Cell Res       Date:  2021-01-27       Impact factor: 3.905

Review 5.  Early-Life Nutritional Programming of Type 2 Diabetes: Experimental and Quasi-Experimental Evidence.

Authors:  Alexander M Vaiserman
Journal:  Nutrients       Date:  2017-03-05       Impact factor: 5.717

6.  DNA Methylation and Type 2 Diabetes: the Use of Mendelian Randomization to Assess Causality.

Authors:  Diana L Juvinao-Quintero; Marie-France Hivert; Gemma C Sharp; Caroline L Relton; Hannah R Elliott
Journal:  Curr Genet Med Rep       Date:  2019-11-15

7.  Identification of metabolic markers predictive of prediabetes in a Korean population.

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  7 in total

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