Differential Profile of Plasma Circular RNAs in Type 1 Diabetes Mellitus.

Content Provider	Europe PMC
Author	Li, Yangyang Zhou, Ying Zhao, Minghui Zou, Jing Zhu, Yuxiao Yuan, Xuewen Liu, Qianqi Cai, Hanqing Chu, Cong-Qiu Liu, Yu
Copyright Year	2020
Abstract	BackgroundNo currently available biomarkers or treatment regimens fully meet therapeutic needs of type 1 diabetes mellitus (T1DM). Circular RNA (circRNA) is a recently identified class of stable noncoding RNA that have been documented as potential biomarkers for various diseases. Our objective was to identify and analyze plasma circRNAs altered in T1DM.MethodsWe used microarray to screen differentially expressed plasma circRNAs in patients with new onset T1DM (n=3) and age-/gender-matched healthy controls (n=3). Then, we selected six candidates with highest fold-change and validated them by quantitative real-time polymerase chain reaction in independent human cohort samples (n=12). Bioinformatic tools were adopted to predict putative microRNAs (miRNAs) sponged by these validated circRNAs and their downstream messenger RNAs (mRNAs). Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were performed to gain further insights into T1DM pathogenesis.ResultsWe identified 68 differentially expressed circRNAs, with 61 and seven being up- and downregulated respectively. Four of the six selected candidates were successfully validated. Curations of their predicted interacting miRNAs revealed critical roles in inflammation and pathogenesis of autoimmune disorders. Functional relations were visualized by a circRNA-miRNA-mRNA network. GO and KEGG analyses identified multiple inflammation-related processes that could be potentially associated with T1DM pathogenesis, including cytokine-cytokine receptor interaction, inflammatory mediator regulation of transient receptor potential channels and leukocyte activation involved in immune response.ConclusionOur study report, for the first time, a profile of differentially expressed plasma circRNAs in new onset T1DM. Further in silico annotations and bioinformatics analyses supported future application of circRNAs as novel biomarkers of T1DM.
ISSN	22336079
Journal	Diabetes & Metabolism Journal
Volume Number	44
PubMed Central reference number	PMC7801755
Issue Number	6
PubMed reference number	32662258
e-ISSN	22336087
DOI	10.4093/dmj.2019.0151
Language	English
Publisher	Korean Diabetes Association
Publisher Date	2020-07-13
Access Restriction	Open
Rights License	This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. Copyright © 2020 Korean Diabetes Association
Subject Keyword	Autoimmune diseases Biomarkers Diabetes mellitus, type 1 Inflammation MicroRNAs Plasma RNA, circular
Content Type	Text
Resource Type	Article
Subject	Endocrinology, Diabetes and Metabolism