Identification of circulatory miRNAs as candidate biomarkers in prediabetes - A systematic review and bioinformatics analysis
Circulatory miRNAs (micro ribo nucleic acid) have been identified as potential biomarker in diabetes mellitus and a few studies have shown its role in pre diabetic conditions. A systematic review would give a lead to identify and shortlist miRNAs as biomarkers in pre diabetes. Following stringent in...
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Published in: | Gene reports Vol. 21; p. 100954 |
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Main Authors: | , , , |
Format: | Journal Article |
Language: | English |
Published: |
Elsevier Inc
01-12-2020
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Subjects: | |
Online Access: | Get full text |
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Summary: | Circulatory miRNAs (micro ribo nucleic acid) have been identified as potential biomarker in diabetes mellitus and a few studies have shown its role in pre diabetic conditions. A systematic review would give a lead to identify and shortlist miRNAs as biomarkers in pre diabetes. Following stringent inclusive and exclusive criteria based on Preferred Reporting Items for Systematic reviews and Meta-Analysis (PRISMA) guidelines, we have included 24 potential studies for this systematic review and bioinformatics analysis of miRNAs in pre diabetes. Basic study characteristics, expression levels of miRNAs and methods of study were extracted manually. miRNAs showing constitutively dysregulated expression in at least two studies in same direction were included for further pathway analysis using miRpath analysis. There were 56 miRNAs showing dysregulated expression across pre diabetic patients. Among these, 11 miRNAs were shortlisted as potential biomarkers in pre diabetes condition. These miRNA were associated mainly with pathways including lipid metabolisms. Clinical utility of these shortlisted miRNAs should be validated with larger cohorts.
•There were 56 miRNAs showing dysregulated expression across pre diabetic patients in 24 studies.•11 miRNAs are shortlisted as potential biomarkers in pre diabetes condition.•Alterations in the expression levels of miR126, in 5 different studies were identified. |
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ISSN: | 2452-0144 2452-0144 |
DOI: | 10.1016/j.genrep.2020.100954 |