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Scoring systems that combine donor clinical and morphological parameters to predict outcome of kidney transplantation lack enough specificity to be generally accepted. Compare to classical histology, molecular assessment of renal tissue offers unbiased and technically robust approach. In this prospective 3-months' observational study procurement biopsies in 180 brain death donors will be performed. Using microarray which detect top differently regulated genes, conventional histology, urinary AKI biomarkers, renal function and clinical variables models predicting DGF and early graft scarring (IFTA, poor graft function) in recipients will be constructed. The associations of AKI in donors with distinct fibrosis atrophy and AKI molecular signals will be found. Molecular techniques and final models may help to improve the decision-making process for the acceptance of kidneys from marginal donors but more importantly, it may help clinicians to guide less toxic immunosuppression in identified problematic grafts.
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The aim is to create a prediction model of early clinical outcome (delayed graft function) based on donor and recipient clinical variables, donor eGFR, urinary AKI biomarkers, histology (glomerulosclerosis, interstitial fibrosis, vascular changes) and top differently regulated genes found in microarray of wedge procurement donor biopsy. Construct a model capable to predict early renal allograft scarring (IFTA>2), and impaired graft function (eGFR<45 mL/min), as early as at 3 months. Describe renal molecular changes associated with established AKI in brain-death deceased donor and with aging.
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200 participants in 6 patient groups
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Data sourced from clinicaltrials.gov
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