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Article type: Research Article
Authors: Szeto, Cheuk-Chun | Ching-Ha, Kwan Bonnie | Ka-Bik, Lai | Mac-Moune, Lai Fernand | Cheung-Lung, Choi Paul | Gang, Wang | Kai-Ming, Chow | Kam-Tao, Li Philip
Affiliations: From Department of Medicine & Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong, China | Department of Anatomical & Cellular Pathology, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, Hong Kong, China
Note: [] Correspondence: Dr. C.-C. Szeto, Department of Medicine & Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, NT, Hong Kong, China. Tel.: +852 2632 3126; Fax: +852 2637 3852; E-mail: ccszeto@cuhk.edu.hk
Abstract: Background: Evidence indicates that microRNAs (miRNA) play a role in the pathogenesis of chronic kidney diseases (CKD). We explored the possibility of using urinary miRNA as non-invasive biomarkers for CKD. Methods: We quantified miRNA expression in urinary sediment of 56 CKD patients who underwent kidney biopsy. Patients were followed for 16.2 ± 15.5 months. Results: Patients with diabetic glomerulosclerosis had lower urinary miR-15 expression, while those with IgA nephropathy had higher urinary miR-17 expression, than other diagnosis groups. Baseline proteinuria had significant inverse correlation with urinary expression of miR-15, miR-192, and miR-216a; baseline renal function correlated with urinary expression of miR-15, miR-17, miR-192, and miR-217. The rate of renal function decline correlated with urinary expression of miR-21 (r=0.301, p=0.026) and miR-216a (r=0.515, p < 0.0001). Patients with a high urinary expression of miR-21 and miR-216a had better dialysis-free survival than those with low expression (log rank test, p=0.005 and p=0.003, respectively). Conclusions: Urinary miR-21 and miR-216a expression correlated with the rate of renal function decline and risk of progression to dialysis-dependent renal failure. Our results suggest that urinary miRNA profiling has the potential of further development as biomarkers of CKD.
Keywords: Proteinuria, glomerulonephritis, biomarker
DOI: 10.3233/DMA-2012-0914
Journal: Disease Markers, vol. 33, no. 3, pp. 137-144, 2012
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