BACKGROUND: Study of messenger RNA (mRNA) expression of target genes in urinary sediment was suggested as a noninvasive marker of renal damage in patients with chronic kidney diseases (CKDs). We studied the relationship between urinary mRNA expression of target genes and risk for renal function deterioration in patients with CKD. METHODS: We studied 131 patients with CKD with kidney biopsy. mRNA expression of 11 target genes in urinary sediment was measured by means of quantitative polymerase chain reaction. Patients then were followed up for 27.4 +/- 10.1 months. The primary end point is doubling of serum creatinine concentration or end-stage renal disease. RESULTS: Thirty-six patients (27.5%) reached the primary end point during follow-up. Univariate analysis showed that sex, age, proteinuria, estimated glomerular filtration rate, histological diagnosis, degree of tubulointerstitial scarring, percentage of glomerulosclerosis, and urinary mRNA expression of hepatocyte growth factor (HGF) were predictors of the primary end point. At 24 months, event-free survival rates were 90.9% and 64.3% for patients with low and high urinary HGF expression, respectively (log rank test, P = 0.002). After adjusting for other confounding factors by using a Cox proportional hazard model, urinary HGF expression remained an independent predictor of the primary end point, and a 1-fold increase in expression was associated with a 4.0% (95% confidence interval, 0.5 to 7.5; P = 0.024) increase in risk. CONCLUSION: In the target genes examined, urinary HGF expression is an independent prognostic indicator of CKD after adjusting for confounding clinical and histological factors. Measurement of urinary HGF mRNA expression may be a useful noninvasive tool for risk stratification of patients with CKD.
BACKGROUND: Study of messenger RNA (mRNA) expression of target genes in urinary sediment was suggested as a noninvasive marker of renal damage in patients with chronic kidney diseases (CKDs). We studied the relationship between urinary mRNA expression of target genes and risk for renal function deterioration in patients with CKD. METHODS: We studied 131 patients with CKD with kidney biopsy. mRNA expression of 11 target genes in urinary sediment was measured by means of quantitative polymerase chain reaction. Patients then were followed up for 27.4 +/- 10.1 months. The primary end point is doubling of serum creatinine concentration or end-stage renal disease. RESULTS: Thirty-six patients (27.5%) reached the primary end point during follow-up. Univariate analysis showed that sex, age, proteinuria, estimated glomerular filtration rate, histological diagnosis, degree of tubulointerstitial scarring, percentage of glomerulosclerosis, and urinary mRNA expression of hepatocyte growth factor (HGF) were predictors of the primary end point. At 24 months, event-free survival rates were 90.9% and 64.3% for patients with low and high urinary HGF expression, respectively (log rank test, P = 0.002). After adjusting for other confounding factors by using a Cox proportional hazard model, urinary HGF expression remained an independent predictor of the primary end point, and a 1-fold increase in expression was associated with a 4.0% (95% confidence interval, 0.5 to 7.5; P = 0.024) increase in risk. CONCLUSION: In the target genes examined, urinary HGF expression is an independent prognostic indicator of CKD after adjusting for confounding clinical and histological factors. Measurement of urinary HGF mRNA expression may be a useful noninvasive tool for risk stratification of patients with CKD.
Authors: Mariano J Scian; Daniel G Maluf; Kellie J Archer; Jihee L Suh; David Massey; Ryan C Fassnacht; Benjamin Whitehill; Amit Sharma; Anne King; Todd Gehr; Adrian Cotterell; Marc P Posner; Valeria Mas Journal: Transplantation Date: 2011-03-27 Impact factor: 4.939
Authors: Daniel G Maluf; Valeria R Mas; Kellie J Archer; Kenneth Yanek; Eric M Gibney; Anne L King; Adrian Cotterell; Robert A Fisher; Marc P Posner Journal: Mol Med Date: 2008 May-Jun Impact factor: 6.354
Authors: Daniel G Maluf; Catherine I Dumur; Jihee L Suh; Mariano J Scian; Anne L King; Helen Cathro; Jae K Lee; Ricardo C Gehrau; Kenneth L Brayman; Lorenzo Gallon; Valeria R Mas Journal: Kidney Int Date: 2013-09-11 Impact factor: 10.612