title: Urinary microRNA-10a and microRNA-30d serve as novel, sensitive and specific biomarkers for kidney injury.
abstract: The steadily increasing incidence of kidney injury is a significant threat to human health. The current tools available for the early detection of kidney injury, however, have limited sensitivity or specificity. Thus, the development of novel biomarkers to detect early kidney injury is of high importance. Employing mouse renal ischemia-reperfusion and streptozotocin (STZ)-induced renal injury as acute and chronic kidney injury model, respectively, we assessed the alteration of microRNA (miRNA) in mouse urine, serum and kidney tissue by TaqMan probe-based qRT-PCR assay. Our results demonstrated that kidney-enriched microRNA-10a (miR-10a) and microRNA-30d (miR-30d) were readily detected in mouse urine and the levels of urinary miR-10a and miR-30d were positively correlated with the degree of kidney injury induced by renal ischemia-reperfusion or STZ diabetes. In contrast, no such alteration of miR-10a and miR-30d levels was observed in mouse serum after kidney injury. Compared with the blood urea nitrogen (BUN) assay, the test for urinary miR-10a and miR-30d levels was more sensitive for the detection of acute kidney injury. Furthermore, the substantial elevation of the urinary miR-10a and miR-30d levels was also observed in focal segmental glomerulosclerosis (FSGS) patients compared to healthy donors. In conclusion, the present study collectively demonstrates that urinary miR-10a and miR-30d represent a novel noninvasive, sensitive, specific and potentially high-throughput method for detecting renal injury.
authors.affiliation: Jiangsu Engineering Research Center for MicroRNA Biology and Biotechnology, School of Life Sciences, Nanjing University, Jiangsu, China.
authors.forename: Nan
authors.initials: N
authors.lastname: Wang
authors.forename: Yang
authors.initials: Y
authors.lastname: Zhou
authors.forename: Lei
authors.initials: L
authors.lastname: Jiang
authors.forename: Donghai
authors.initials: D
authors.lastname: Li
authors.forename: Junwei
authors.initials: J
authors.lastname: Yang
authors.forename: Chen-Yu
authors.initials: CY
authors.lastname: Zhang
authors.forename: Ke
authors.initials: K
authors.lastname: Zen
mesh_terms: D000818:Animals; D015415:Biomarkers / Q000378:metabolism*; D001806:Blood Urea Nitrogen; D016022:Case-Control Studies; D005260:Female; D005786:Gene Expression Regulation; D005923:Glomerulosclerosis, Focal Segmental / Q000097:blood / Q000378:metabolism / Q000652:urine; D006801:Humans; D007511:Ischemia / Q000378:metabolism; D007668:Kidney / Q000293:injuries* / Q000378:metabolism*; D007674:Kidney Diseases / Q000378:metabolism / Q000473:pathology; D008297:Male; D051379:Mice; D008810:Mice, Inbred C57BL; D035683:MicroRNAs / Q000096:biosynthesis*; D015427:Reperfusion Injury; D013311:Streptozocin / Q000494:pharmacology
chemical_list: D015415:Biomarkers; C547183:MIRN10 microRNA, human; C569259:MIRN10 microRNA, mouse; C546086:MIRN30b microRNA, human; D035683:MicroRNAs; C534715:Mirn30d microRNA, mouse; D013311:Streptozocin