A Systematic Review and Meta-Analysis of microRNA Profiling Studies in Chronic Kidney Diseases

Author:

Garmaa Gantsetseg123ORCID,Bunduc Stefania2456ORCID,Kói Tamás27,Hegyi Péter268,Csupor Dezső289ORCID,Ganbat Dariimaa310ORCID,Dembrovszky Fanni26ORCID,Meznerics Fanni Adél211,Nasirzadeh Ailar1,Barbagallo Cristina12ORCID,Kökény Gábor113ORCID

Affiliation:

1. Institute of Translational Medicine, Semmelweis University, Nagyvárad tér 4, 1089 Budapest, Hungary

2. Center for Translational Medicine, Semmelweis University, Üllői út 26, 1085 Budapest, Hungary

3. Department of Pathology, School of Medicine, Mongolian National University of Medical Sciences, Ulan-Bator 14210, Mongolia

4. Faculty of Medicine, Carol Davila University of Medicine and Pharmacy, Dionisie Lupu Street 37, 020021 Bucharest, Romania

5. Fundeni Clinical Institute, Fundeni Street 258, 022328 Bucharest, Romania

6. Division of Pancreatic Diseases, Heart and Vascular Center, Semmelweis University, Baross út 22-24, 1085 Budapest, Hungary

7. Department of Stochastics, Institute of Mathematics, Budapest University of Technology and Economics, Műegyetem rkp. 3, 1111 Budapest, Hungary

8. Institute for Translational Medicine, Medical School, University of Pécs, 7624 Pécs, Hungary

9. Institute of Clinical Pharmacy, University of Szeged, Szikra utca 8, 6725 Szeged, Hungary

10. Department of Public Health, Graduate School of Medicine, International University of Health and Welfare, Tokyo 107-840, Japan

11. Department of Dermatology, Venereology and Dermatooncology, Semmelweis University, Mária utca 41, 1085 Budapest, Hungary

12. Section of Biology and Genetics “G. Sichel”, Department of Biomedical and Biotechnological Sciences, University of Catania, 95123 Catania, Italy

13. International Nephrology Research and Training Center, Semmelweis University, Nagyvárad tér 4, 1089 Budapest, Hungary

Abstract

Chronic kidney disease (CKD) represents an increasing health burden. Evidence suggests the importance of miRNA in diagnosing CKD, yet the reports are inconsistent. This study aimed to determine novel miRNA biomarkers and potential therapeutic targets from hypothesis-free miRNA profiling studies in human and murine CKDs. Comprehensive literature searches were conducted on five databases. Subgroup analyses of kidney diseases, sample types, disease stages, and species were conducted. A total of 38 human and 12 murine eligible studies were analyzed using Robust Rank Aggregation (RRA) and vote-counting analyses. Gene set enrichment analyses of miRNA signatures in each kidney disease were conducted using DIANA-miRPath v4.0 and MIENTURNET. As a result, top target genes, Gene Ontology terms, the interaction network between miRNA and target genes, and molecular pathways in each kidney disease were identified. According to vote-counting analysis, 145 miRNAs were dysregulated in human kidney diseases, and 32 were dysregulated in murine CKD models. By RRA, miR-26a-5p was significantly reduced in the kidney tissue of Lupus nephritis (LN), while miR-107 was decreased in LN patients’ blood samples. In both species, epithelial-mesenchymal transition, Notch, mTOR signaling, apoptosis, G2/M checkpoint, and hypoxia were the most enriched pathways. These miRNA signatures and their target genes must be validated in large patient cohort studies.

Funder

Stipendium Hungaricum Scholarship

SE 250+ Excellence Ph.D. Scholarship

Bolyai Scholarship of the Hungarian Academy of Sciences

ÚNKP Bolyai+ Scholarship from the Hungarian Ministry of Innovation and Technology and the National Research, Development and Innovation Office

Institutional internal funding

Publisher

MDPI AG

Reference157 articles.

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