Project description:Donor organ shortage, growing waiting lists and organ discard rates are key problems in kidney transplantation. Donor organ quality is a critical factor determining post-transplant graft outcomes. However, organ quality is difficult to predict. Balancing the use of marginal donors without affecting outcomes is a main issue in the transplant field. The decision of acceptance of a kidney organ for transplantation is mainly based on donor organ biopsy findings, even though there are recognized limitations. The lack of better measures of organ quality at the time of transplantation as a predictor of performance graft outcome is a serious clinical challenge. Herein, we propose the use of a limited set of genes that captures intrinsic biology of kidney donor organs to improve available scoring systems. We studied gene expression in 192 deceased donor kidney biopsies and evaluated short-term outcomes which included delayed graft function and eGFR (high versus low) at 24 months for 168 kidney transplant recipients.
Project description:10 biopsies from one patient undergoing a auxiliary liver and combined kidney transplantation, where one liver lobe is replaced by an auxiliary liver lobe. Thereafter the kidney is transplanted. Keywords: Time course study
Project description:Clinical kidney biopsies variably contain cortex and medulla depending on biopsy depth and angle. Therefore, biopsy composition may alter the transcriptional profile and confound conclusions drawn from differential gene expression analysis. To account for this in retrieval biopsies, we assessed differences in gene expression between paired cortex and medulla samples in n=5 human kidneys.
Project description:10 biopsies from one patient undergoing a auxiliary liver and combined kidney transplantation, where one liver lobe is replaced by an auxiliary liver lobe. Thereafter the kidney is transplanted. Keywords: Time course study 10 samples, no replicates.
Project description:We explored a direct association between the kidney allograft phenotype and serum protein signatures. Time-matched samples of graft biopsies and blood serum were collected in a heterogenous cohort of kidney transplanted patients (n=15) for bulk RNA sequencing and proteomics, respectively.
Project description:Microarrays were used to analyze the gene expression in peripheral blood and kidney allograft biopsies from patients with a kidney transplantation to get more insight in the molecular mechanisms underlying the different clinical phenotypes of kidney transplant rejection. 117 peripheral blood samples and 95 kidney allograft biopsies were used for genome-wide gene expression analysis. The updated Banff 2017 classification was used for diagnosis of the samples. Total RNA extracted from blood and biopsies was used to analyze mRNA expression via Affymetrix Human U133 Plus 2.0 arrays. This dataset is part of the TransQST collection.
Project description:Microarrays were used to analyze the gene expression in peripheral blood and kidney allograft biopsies from patients with a kidney transplantation to get more insight in the molecular mechanisms underlying the different clinical phenotypes of kidney transplant rejection.
Project description:To identify early markers to predict post-transplantation outcomes we performed a transcriptome analysis in pre-implantation kidney biopsies from deceased donors searching for genes associated with DGF and graft function one year post-transplantation.
Project description:The aim of this study was to investigate correlations between early subclinical findings (10 and 90 day histology and gene expression data) and late outcomes (transplant glomerulopathy and graft loss) in positive crossmatch kidney transplants (+XMKTx). Our goal was threefold: first, to confirm that intragraft molecular changes at 12m post-transplant are associated with the observed histologic changes in SLK transplant recipients, compared with KTA transplant recipients; second, to ascertain whether specific molecular pathways/markers that are not accounted for by routine histology are differentially expressed in the kidney allografts of the SLK transplant recipients; and third, to determine whether a molecular signature that is uniquely associated with simultaneous liver transplantation can be identified in kidney allografts. Biopsy samples were from positive and negative crossmatch simultaneous liver-kidney transplant recipients (12 month protocol biopsies) were compared to control patient (positive and negative crossmatch) biopsies obtained at 12 months. This dataset is part of the TransQST collection.
