Abstract: Introduction Renal graft dysfunction due to acute rejection, acute tubular necrosis, or anticalcineurin toxicity with development of interstitial fibrosis or tubular atrophy are the primary causes of graft failure. Determination of kidney function using the serum creatinine concentration demonstrates low sensitivity as a marker for the diagnosis, and kidney biopsy is an invasive procedure. The levels of urinary messenger RNA of genes that regulate epithelial-mesenchymal transition (EMT) can reflect early kidney damage. Thus, repeated transcriptome studies of these genes can provide information about the evolution of the graft, and possibly enable early diagnosis and treatment. Objective To analyze the temporal relationships between early graft evolution and gene expression of EMT biomarkers. Methods Of 70 kidney transplant procedures performed between January 1, 2007 and December 31, 2008, 42 were analyzed prospectively for 3 months. Analytical and clinical data were recorded, as well as histologic findings if available. Urine mRNA extraction was performed using a commercially available kit. RNA gene expression of EMT, angiotensinogen, epidermal growth factor receptor, E-cadherin, N-cadherin, transforming growth factor??, and bone morphogenetic protein 7 was determined at real-time quantitative polymerase chain reaction. ?2-Microglobulin was used as a reference gene. Results At 75 days posttransplantation, analysis revealed that angiotensinogen (mean [SD], 2.91 [0.70] vs 6.04 [1.24]; P = .04) and N-cadherin (1.01 [0.43] vs 4.31 [0.92]; P = .01) discriminate good evolution from acute rejection. Epidermal growth factor receptor (2.78 [0.66] vs 6.02 [1.09]; P = .33) and bone morphogenetic protein 7 (0.85 [0.33] vs 3.07 [1.37]; P = .04) discriminate good evolution vs delayed graft function. Conclusion Differential gene expression at 75 days posttransplantation reflects differences related to initial histologic damage. This observation encourages design of a long-term longitudinal analysis with multiple markers to obtain early diagnosis and forecast the prognosis of graft dysfunction.

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