Volume 33, Issue 3 842764 pp. 137-144
Article
Open Access

Micro-RNA Expression in the Urinary Sediment of Patients with Chronic Kidney Diseases

Cheuk-Chun Szeto

Corresponding Author

Cheuk-Chun Szeto

Department of Medicine & Therapeutics Prince of Wales Hospital The Chinese University of Hong Kong Shatin Hong Kong, China

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Kwan Bonnie Ching-Ha

Kwan Bonnie Ching-Ha

Department of Medicine & Therapeutics Prince of Wales Hospital The Chinese University of Hong Kong Shatin Hong Kong, China

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Lai Ka-Bik

Lai Ka-Bik

Department of Medicine & Therapeutics Prince of Wales Hospital The Chinese University of Hong Kong Shatin Hong Kong, China

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Lai Fernand Mac-Moune

Lai Fernand Mac-Moune

Department of Anatomical & Cellular Pathology Prince of Wales Hospital The Chinese University of Hong Kong Shatin Hong Kong, China

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Choi Paul Cheung-Lung

Choi Paul Cheung-Lung

Department of Anatomical & Cellular Pathology Prince of Wales Hospital The Chinese University of Hong Kong Shatin Hong Kong, China

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Wang Gang

Wang Gang

Department of Medicine & Therapeutics Prince of Wales Hospital The Chinese University of Hong Kong Shatin Hong Kong, China

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Chow Kai-Ming

Chow Kai-Ming

Department of Medicine & Therapeutics Prince of Wales Hospital The Chinese University of Hong Kong Shatin Hong Kong, China

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Li Philip Kam-Tao

Li Philip Kam-Tao

Department of Medicine & Therapeutics Prince of Wales Hospital The Chinese University of Hong Kong Shatin Hong Kong, China

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First published: 21 May 2013
Citations: 2

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.

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