Combining Bioinformatics Techniques to Study Diabetes Biomarkers and Related Molecular Mechanisms.
bioinformatics analysis
biomarkers
circulating miRNA
diabetes mellitus
miRNA-126
miRNA-28-3p
Journal
Frontiers in genetics
ISSN: 1664-8021
Titre abrégé: Front Genet
Pays: Switzerland
ID NLM: 101560621
Informations de publication
Date de publication:
2020
2020
Historique:
received:
11
11
2019
accepted:
25
03
2020
entrez:
20
5
2020
pubmed:
20
5
2020
medline:
20
5
2020
Statut:
epublish
Résumé
To explore the mechanism of plasma circulating miRNA-126 and miRNA-28-3p in diabetes mellitus (DM) patients, and to identify the related bioinformatics analysis. Randomly selected 120 DM patients as the observation group and 120 non- DM patients as the control group. The plasma circulating miRNA-126 and miRNA-28-3p were analyzed by qRT-PCR, and their target genes, biological information, related lncRNA and circRNA were predicted. The circulating miRNA-126 (0.1162 ± 0.0236 vs. 0.0018 ± 0.0862) and miRNA-28-3p (0.1378 ± 0.0268 vs. 0.0006 ± 0.0167) levels in the observation group were significantly higher than those in the control group, and differences were statistically significant ( Circulating miRNA-126 and miRNA-28-3p can be a potential biomarker of DM and it may play an important role in the DM by regulating insulin or insulin growth factor related signaling pathways.
Identifiants
pubmed: 32425976
doi: 10.3389/fgene.2020.00367
pmc: PMC7204005
doi:
Types de publication
Journal Article
Langues
eng
Pagination
367Informations de copyright
Copyright © 2020 Nie, Zhang, Xu, Liao, Zhou and Fu.
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