Literature DB >> 28966078

Change in circulating microRNA profile of obese children indicates future risk of adult diabetes.

Xianwei Cui1, Lianghui You1, Lijun Zhu1, Xing Wang1, Yahui Zhou1, Yun Li1, Juan Wen1, Yankai Xia2, Xinru Wang2, Chenbo Ji3, Xirong Guo4.   

Abstract

PURPOSE: Childhood obesity increases susceptibility to type 2 diabetes (T2D) in adults. Circulating microRNAs (miRNAs) in serum have been proposed as potential diagnostic biomarkers, and they may contribute to the progression toward T2D. Here, we investigated the possibility of predicting the future risk of adult T2D in obese children by using circulating miRNAs. BASIC PROCEDURES: We performed miRNA high-throughput sequencing to screen relevant circulating miRNAs in obese children. The expression patterns of targeted miRNAs were further explored in obese children and adults with T2D. To investigate the underlying contributions of these miRNAs to the development of T2D, we detected the impacts of the candidate miRNAs on preadipocyte proliferation, insulin secretion by pancreatic β-cell, and glucose uptake by skeletal muscle cells. MAIN
FINDINGS: Three miRNAs (miR-486, miR-146b and miR-15b), whose expression in the circulation was most dramatically augmented in obese children and adult T2D patients, were selected for further investigation. Of these 3 miRNAs, miR-486 was implicated in accelerating preadipocyte proliferation and myotube glucose intolerance, miR-146b and miR-15b were engaged in the suppression of high concentration glucose-induced pancreatic insulin secretion, and they all contributed to the pathological processes of obesity and T2D. PRINCIPAL
CONCLUSIONS: Our results provide a better understanding of the role of circulating miRNAs, particularly miR-486, miR-146b and miR-15b, in predicting the future risk of T2D in obese children.
Copyright © 2017 The Author(s). Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Childhood obesity; Circulating microRNA; Diabetes; Future risk

Mesh:

Substances:

Year:  2017        PMID: 28966078     DOI: 10.1016/j.metabol.2017.09.006

Source DB:  PubMed          Journal:  Metabolism        ISSN: 0026-0495            Impact factor:   8.694


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