Literature DB >> 29415820

Differentially methylated circulating DNA: A novel biomarker to monitor beta cell death.

Yingfeng Liu1, Qiyuan Tan1, Fang Liu2.   

Abstract

Diabetes mellitus (DM) is a metabolic disorder of glucose homeostasis caused by insufficient secretion or inadequate action of insulin. Nowadays, the increased morbidity of DM is a worldwide issue. Pancreatic beta cell death plays a key role in the progress of DM, especially Type 1 diabetes (T1D). Traditional biomarkers, such as C-peptide and islet autoimmune antibodies are limited to reflect beta cell death and to identify high risk patients in the clinical practice. Recently, a novel biomarker, differentially methylated circulating DNA, has become a research hotspot. It has better sensitivity and specificity in the detection of beta cell death. Assays of beta cell-derived differentially methylated insulin DNA in serum are helpful to predict the possibility to develop T1D in the high risk population. They have also been applied to evaluate beta cell death in Type 2 diabetes (T2D), gestational diabetes mellitus (GDM), islet transplantation and islet specific immune therapy. Although more studies are needed to identify the best methylation target sites in the INS gene, differentially methylated circulating DNA may be a good method to evaluate the progression and prognosis of islet related diseases in the future.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Beta cell death; Biomarker; DNA methylation

Mesh:

Substances:

Year:  2017        PMID: 29415820     DOI: 10.1016/j.jdiacomp.2017.08.012

Source DB:  PubMed          Journal:  J Diabetes Complications        ISSN: 1056-8727            Impact factor:   2.852


  3 in total

1.  Novel method utilizing bisulfite conversion with dual amplification-refractory mutation system polymerase chain reaction to detect circulating pancreatic β-cell cfDNA.

Authors:  Asami Okada; Misuzu Yamada-Yamashita; Yukari Tominaga; Kyoka Jo; Hiroyasu Mori; Reiko Suzuki; Masashi Ishizu; Motoyuki Tamaki; Yuko Akehi; Yuichi Takashi; Daisuke Koga; Eisuke Shimokita; Fuminori Tanihara; Kiyoe Kurahashi; Sumiko Yoshida; Yukari Mitsui; Shiho Masuda; Itsuro Endo; Ken-Ichi Aihara; Shoji Kagami; Masahiro Abe; Kevin Ferreri; Yoshio Fujitani; Munehide Matsuhisa; Akio Kuroda
Journal:  J Diabetes Investig       Date:  2022-05-06       Impact factor: 3.681

Review 2.  High-Throughput Approaches onto Uncover (Epi)Genomic Architecture of Type 2 Diabetes.

Authors:  Anna Dziewulska; Aneta M Dobosz; Agnieszka Dobrzyn
Journal:  Genes (Basel)       Date:  2018-07-26       Impact factor: 4.096

3.  Liquid Biopsy in Type 2 Diabetes Mellitus Management: Building Specific Biosignatures via Machine Learning.

Authors:  Makrina Karaglani; Maria Panagopoulou; Christina Cheimonidi; Ioannis Tsamardinos; Efstratios Maltezos; Nikolaos Papanas; Dimitrios Papazoglou; George Mastorakos; Ekaterini Chatzaki
Journal:  J Clin Med       Date:  2022-02-17       Impact factor: 4.241

  3 in total

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