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Hsa-miR-19b-3p and Hsa-miR-23b-3P are the candidate biomarkers for bipolar disorder

Authors :
Omran Davarinejad
Zahra Foruzandeh
Payam Mohammadi
Farzaneh Golmohammadi
Davood Ghavi
MohammadReza Alivand
Misagh Chogan
Hossein Zhaleh
Yazdan Rahmati
Source :
Informatics in Medicine Unlocked, Vol 30, Iss , Pp 100959- (2022)
Publication Year :
2022
Publisher :
Elsevier, 2022.

Abstract

Bipolar disorder (BD) is a severe psychiatric disorder and among the leading causes of disability worldwide that has a significant genetic component with high heritability. The prognosis for BD patients remains poor because of the lack of reliable biomarkers and also pathogenesis and diagnostic methods remain limited. The purpose of this study was the elucidation potential candidate hub miRNAs related to BD. We searched the gene and miRNA expression patterns of BD from five expression arrays (GSE74358, GSE69486, GSE12654, GSE46416 for gene expression, and GSE152267 for miRNA expression) from the Gene Expression Omnibus (GEO) database to recognize differentially expressed genes (DEGs) and differentially expressed miRNAs (DEMs) between normal and BD samples. Using limma package, 87 DEGs were identified and Enrichment analysis for identified genes was performed. Due to more validation of DEGs, their expression was evaluated by 8 independent expression arrays including GSE12649, GSE23848, GSE39653, GSE46449, GSE5388, GSE5389, GSE53987, and GSE62191. By merging DEMs and DEGs, miRNA-mRNA network was constructed. After elucidation of hub miRNAs, the ability of detected miRNAs to discriminate BD from healthy controls was assessed by area under the curve (AUC) using the ROC curve analysis. Furthermore, RT-qPCR on 50 BD samples and 50 healthy controls was performed to validate the in silico results. Our results showed that hsa-miR-19b-3p and hsa-miR-23b-3P could be potential biomarkers of BD.

Details

Language :
English
ISSN :
23529148
Volume :
30
Issue :
100959-
Database :
Directory of Open Access Journals
Journal :
Informatics in Medicine Unlocked
Publication Type :
Academic Journal
Accession number :
edsdoj.80f864855b3b4396b15d5044b8648570
Document Type :
article
Full Text :
https://doi.org/10.1016/j.imu.2022.100959