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Elucidation of mRNA targets of miR-145-5p in diabetic kidney disease using bioinformatics analysis


Citation

Zahari Sham, Siti Yazmin and Azwar, Shamin and Wai, Kien Yip and Abdullah, Maha and Thevandran, Kalaiselvam and Osman, Malina and Heng, Fong Seow (2022) Elucidation of mRNA targets of miR-145-5p in diabetic kidney disease using bioinformatics analysis. Malaysian Journal of Medicine and Health Sciences, 18 (supp.21). pp. 36-43. ISSN 2636-9346 (In Press)

Abstract

Introduction: Diabetic kidney disease (DKD) is a major global cause of end-stage-kidney disease. In view of its on- going risk of disease progression, the search for a better biomarkers and treatment led to the discovery of microRNAs which regulate gene expression post-translationally. Recently, we reported a trend of upregulation of miR-145-5p in sera of type 2 diabetic patients with macroalbuminuria in a selected Malaysian population, which concurred with previous in vivo and in vitro studies of DKD. In addition, miR-145 has been implicated as a tumour suppressor in various cancers. Methods: In this study, bioinformatics tools were utilized to predict the mRNA targets of miR- 145-5p. Results: A total of 683 and 224 experimentally-validated mRNA targets of miR-145-5p were identified by Tarbase and miRTarbase, respectively. Eighty-six (86) commonly identified targets were submitted to Metascape and Enrichr for enrichment analysis. Bioinformatics analysis and literature search suggested that insulin receptor substrate 1 (IRS1) was the most promising target of miR-145-5p. Its associated Gene Ontology terms and pathways included insulin-like growth factor receptor signalling and Forkhead transcription factors (FOXO), respectively. Based on these analyses, the roles of IRS1 in DKD were proposed. Conclusion: As the kidneys are heterogenous in cell types and the mechanism of miRNA is cell-type-dependent, target prediction of miR-145-5p by bioinformatics analysis is particularly important in DKD, to improve the likelihood of a successful in vitro experimental verification in specific renal cell types. In addition, this study attempts to utilize bioinformatics studies, which is not widely done in DKD, as recently reported.


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Additional Metadata

Item Type: Article
Divisions: Faculty of Medicine and Health Science
DOI Number: https://doi.org/10.47836/mjmhs18.s21.7
Publisher: Faculty of Medicine and Health Sciences, Universiti Putra Malaysia
Keywords: Diabetic kidney disease; miR-145-5p; mRNA targets; Bioinformatics; in silico
Depositing User: Mohamad Jefri Mohamed Fauzi
Date Deposited: 06 Mar 2023 07:34
Last Modified: 06 Mar 2023 07:34
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.47836/mjmhs18.s21.7
URI: http://psasir.upm.edu.my/id/eprint/99297
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