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Analysis of serum circulating MicroRNAs level in Malaysian patients with gestational diabetes mellitus.

Authors :
Jamalpour, Sajad
Zain, Shamsul Mohd
Vazifehmand, Reza
Mohamed, Zahurin
Pung, Yuh Fen
Kamyab, Hesam
Omar, Siti Zawiah
Source :
Scientific Reports; 11/24/2022, Vol. 12 Issue 1, p1-10, 10p
Publication Year :
2022

Abstract

Gestational diabetes mellitus (GDM) is a severe global issue that requires immediate attention. MicroRNA expression abnormalities are possibly disease-specific and may contribute to GDM pathological processes. To date, there is limited data on miRNA profiling in GDM, especially that involves a longitudinal study. Here, we performed miRNA expression profiling in the entire duration of pregnancy (during pregnancy until parturition and postpartum) using a miRNA- polymerase chain reaction array (miRNA-PCRArray) and in-silico analysis to identify unique miRNAs expression and their anticipated target genes in Malay maternal serum. MiRNA expression levels and their unique potential as biomarkers were explored in this work. In GDM patients, the expression levels of hsa-miR-193a, hsa-miR-21, hsa-miR-23a, and hsa-miR-361 were significantly increased, but miR-130a was significantly downregulated. The area under the curve (AUC) and receiver operating characteristic (ROC) curve study demonstrated that hsa-miR-193a (AUC = 0.89060 ± 04,470, P = 0.0001), hsa-miR-21 (AUC = 0.89500 ± 04,411, P = 0.0001), and miR-130a (AUC = 0.6939 ± 0.05845, P = 0.0025) had potential biomarker features in GDM. In-silico analysis also revealed that KLF (Kruppel-Like family of transcription factor), ZNF25 (Zinc finger protein 25), AFF4 (ALF transcription elongation factor 4), C1orf143 (long intergenic non-protein coding RNA 2869), SRSF2 (serine and arginine rich splicing factor 2), and ZNF655 (Zinc finger protein 655) were prominent genes targeted by the common nodes of miR23a, miR130, miR193a, miR21, and miR361.Our findings suggest that circulating microRNAs in the first trimester has the potential for GDM screening in the Malay population. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20452322
Volume :
12
Issue :
1
Database :
Complementary Index
Journal :
Scientific Reports
Publication Type :
Academic Journal
Accession number :
162771151
Full Text :
https://doi.org/10.1038/s41598-022-23816-3