Long non-coding RNA-associated competing endogenous RNA axes in the olfactory epithelium in schizophrenia: a bioinformatics analysis

• Published in: Scientific reports Vol. 11; no. 1; pp. 24497 - 9
• Main Authors: Sabaie, Hani, Mazaheri Moghaddam, Marziyeh, Mazaheri Moghaddam, Madiheh, Amirinejad, Nazanin, Asadi, Mohammad Reza, Daneshmandpour, Yousef, Hussen, Bashdar Mahmud, Taheri, Mohammad, Rezazadeh, Maryam
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 30.12.2021; Nature Publishing Group; Nature Portfolio
• Subjects: 631/208; 631/378; 631/443; Aquaporin 4; Bioinformatics; Computational Biology; Correlation coefficient; DNA microarrays; Etiology; Gene expression; Gene regulation; Gene Regulatory Networks; Genetics; Humanities and Social Sciences; Humans; Mental disorders; MicroRNAs; MicroRNAs - genetics; miRNA; Molecular modelling; multidisciplinary; Non-coding RNA; Olfactory epithelium; Olfactory Mucosa - metabolism; Pathogenesis; RNA, Long Noncoding - genetics; RNA, Messenger - genetics; Schizophrenia; Schizophrenia - genetics; Science; Science (multidisciplinary); Transcription; Transcriptome
• ISSN: 2045-2322; 2045-2322
• DOI: 10.1038/s41598-021-04326-0

The etiology of schizophrenia (SCZ), as a serious mental illness, is unknown. The significance of genetics in SCZ pathophysiology is yet unknown, and newly identified mechanisms involved in the regulation of gene transcription may be helpful in determining how these changes affect SCZ development and progression. In the current work, we used a bioinformatics approach to describe the role of long non-coding RNA (lncRNA)-associated competing endogenous RNAs (ceRNAs) in the olfactory epithelium (OE) samples in order to better understand the molecular regulatory processes implicated in SCZ disorders in living individuals. The Gene Expression Omnibus database was used to obtain the OE microarray dataset (GSE73129) from SCZ sufferers and control subjects, which contained information about both lncRNAs and mRNAs. The limma package of R software was used to identify the differentially expressed lncRNAs (DElncRNAs) and mRNAs (DEmRNAs). RNA interaction pairs were discovered using the Human MicroRNA Disease Database, DIANA-LncBase, and miRTarBase databases. In this study, the Pearson correlation coefficient was utilized to find positive correlations between DEmRNAs and DElncRNAs in the ceRNA network. Eventually, lncRNA-associated ceRNA axes were developed based on co-expression relations and DElncRNA-miRNA-DEmRNA interactions. This work found six potential DElncRNA-miRNA-DEmRNA loops in SCZ pathogenesis, including, SNTG2-AS1 / hsa-miR-7-5p / SLC7A5 , FLG-AS1 / hsa-miR-34a-5p / FOSL1 , LINC00960 / hsa-miR-34a-5p / FOSL1 , AQP4-AS1 / hsa-miR-335-5p / FMN2 , SOX2-OT / hsa-miR-24-3p / NOS3 , and CASC2 / hsa-miR-24-3p / NOS3 . According to the findings, ceRNAs in OE might be promising research targets for studying SCZ molecular mechanisms. This could be a great opportunity to examine different aspects of neurodevelopment that may have been hampered early in SCZ patients.