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Identification of candidate lncRNA biomarkers for renal fibrosis: A systematic review

Jia, H. and Ma, T. and Hao, C.

Life Sci (2020) 262: 118566

DOI: 10.1016/j.lfs.2020.118566

Abstract

AIMS: To combine the results of dysregulated lncRNAs in individual renal fibrosis lncRNA expression profiling studies and to identify potential lncRNA biomarkers. MATERIALS AND METHODS: We systematically searched three databases to identify lncRNA expression studies of renal fibrosis in animal models and humans. The lncRNA expression data were extracted from 24 included studies, and a lncRNA vote-counting strategy was applied to identify significant lncRNA biomarkers. The lncLocator algorithm was utilized to predict the potential subcellular localization of these lncRNAs. The predicted targets of the identified lncRNA biomarkers were obtained by searching LncBase v.2 and catRAPID. Finally, GO enrichment and KEGG pathway analyses were performed. KEY FINDINGS: We recognized a significant lncRNA signature of 95 differentially expressed lncRNAs in 731 samples from rodent models of renal fibrosis and CKD patients, among which TCONS_01181049 and TCONS_01496394 were commonly upregulated in both urine and renal tissues, while lncRNA-Cancer Susceptibility Candidate 2 was downregulated in both blood and renal tissues. About 73.33% dysregulated lncRNAs in renal fibrosis animal models and 81.82% dysregulated lncRNAs in CKD patients were predicted to be localized to the cytoplasm. The most relevant biological processes and molecular functions associated with these lncRNAs were mRNA processing and RNA binding. SIGNIFICANCE: The present systematic review identified 95 significantly dysregulated lncRNAs from 24 studies and future investigations should focus on exploring their potential effects on renal fibrosis and their clinical utility as biomarkers or therapeutic targets.

Citation

Jia, H., Ma, T., & Hao, C. (2020). Identification of candidate lncRNA biomarkers for renal fibrosis: A systematic review. Life Sci, 262, 118566. https://doi.org/10.1016/j.lfs.2020.118566 Animals, Disease Models, Animal, Humans, Biomarkers, Down-Regulation, Up-Regulation, RNA, Long Noncoding/*genetics, Renal fibrosis, lncRNA, Systematic review, Biomarkers/metabolism, Chronic kidney disease, Fibrosis/pathology, Kidney Diseases/*genetics/physiopathology, Renal Insufficiency, Chronic/*genetics/physiopathology

Keywords