Yan LN, Zhang X, Xu F, Fan YY, Ge B, Guo H, Li ZL. Four-microRNA signature for detection of type 2 diabetes. World J Clin Cases 2020; 8(10): 1923-1931 [PMID: 32518782 DOI: 10.12998/wjcc.v8.i10.1923]
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
Share the Article
Yan LN, Zhang X, Xu F, Fan YY, Ge B, Guo H, Li ZL. Four-microRNA signature for detection of type 2 diabetes. World J Clin Cases 2020; 8(10): 1923-1931 [PMID: 32518782 DOI: 10.12998/wjcc.v8.i10.1923]
Li-Na Yan, Fang Xu, Yuan-Yuan Fan, Biao Ge, Hui Guo, Zi-Ling Li, Department of Endocrinology, Inner Mongolia Baogang Hospital, Baotou 014010, Inner Mongolia Autonomous Region, China
Xin Zhang, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Interventional Therapy Department, Peking University Cancer Hospital and Institute, Beijing 100142, China
Author contributions: Yan LN and Zhang X designed the study; Yan LN, Xu F, Fan YY, Ge B, and Guo H performed the research; Yan LN, Zhang X, and Li ZL analyzed the data; Yan LN wrote the paper and Li ZL revised the manuscript for final submission; Yan LN and Zhang X contributed equally to this study.
Supported bythe National Key R& D Program of China, No. 2016YFC0106604.
Institutional review board statement: The study was reviewed and approved by the Ethics Committee of the Third Hospital Affiliated to Inner Mongolia Medical University (Inner Mongolia Baogang Hospital).
Informed consent statement: All study participants or their legal guardian provided written informed consent prior to study enrollment.
Conflict-of-interest statement: We declare that we have no financial or personal relationships with other individuals or organizations that can inappropriately influence our work and that there is no professional or other personal interest of any nature in any product, service and/or company that could be construed as influencing the position presented in or the review of the manuscript.
Data sharing statement: No additional data are available.
STROBE statement: The authors have read the STROBE Statement – checklist of items, and the manuscript was prepared and revised according to the STROBE Statement – checklist of items.
Received: February 24, 2020 Peer-review started: February 24, 2020 First decision: March 24, 2020 Revised: April 2, 2020 Accepted: April 15, 2020 Article in press: April 15, 2020 Published online: May 26, 2020 Processing time: 91 Days and 5.2 Hours
ARTICLE HIGHLIGHTS
Research background
Sensitive, novel, and accurate biomarkers for the detection of physiological changes in type 2 diabetes (T2DM) at an early stage are urgently needed. MicroRNAs (miRNAs) are found not only in the cell but also outside the cell, including body fluids, such as serum, saliva, and nasal secretions. Extracellular miRNAs were demonstrated to be stable in serum or plasma due to their presence as protein complexes. Abnormal expression of miRNAs is related to the occurrence and development of many diseases, such as cancer and T2DM.
Research motivation
MiRNAs in the serum or plasma are stable, can be reproducibly detected, and therefore have the potential as novel biomarkers for a variety of diseases, include T2DM.
Research objectives
This study aimed to build a multi-parameter diagnostic model for the early detection of T2DM.
Research methods
MiR-148b, miR-223, miR-130a, and miR-19a levels were detected in serum of healthy controls, individuals with impaired glucose regulation, and T2DM patients. The detection value of these miRNAs, alone and in combination, was analyzed.
Research results
The area under the curve of miR-223, which had the best diagnostic value for discriminating the impaired glucose regulation and T2DM groups, was 0.84, and the sensitivity and specificity were 73.37% and 81.37%, respectively. The area under curve of the four-miRNA signature was 0.90, and the sensitivity and specificity were 78.82% and 88.23%, respectively.
Research conclusions
In this study, the authors built a multi-parameter diagnostic model containing miR-148b, miR-223, miR-130a, and miR-19a for the detection of T2DM. It may be a potential tool for the early detection of T2DM.
Research perspectives
The specific mechanism by which the miRNAs are involved in T2DM can be explored in the future.
