Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Transcription profiling of human blood from kidney transplant patients to identify biomarkers for early and late stage chronic allograft nephropathy by genomic profiling

ABSTRACT: Despite significant improvements in life expectancy of kidney transplant patients due to advances in surgery and immunosuppression, Chronic Allograft Nephropathy (CAN) remains a daunting problem. A complex network of cellular mechanisms in both graft and peripheral immune compartments complicates the non-invasive diagnosis of CAN, which still requires biopsy histology. This is compounded by non-immunological factors contributing to graft injury. There is a pressing need to identify and validate minimally invasive biomarkers for CAN to serve as early predictors of graft loss and as metrics for managing long-term immunosuppression. This study attempts to identify sets of unique transcript biomarkers with high predictive accuracy for both mild and moderate/severe CAN. These biomarkers are the necessary first step to a genomic classification of CAN based on peripheral blood and the targets for a prospective, serial-monitoring clinical study. Experiment Overall Design: We used DNA microarrays and bioinformatics to identify candidate genomic markers of mild and moderate/severe CAN in peripheral blood of two distinct cohorts (n=42 and n=35, respectively) of kidney transplant patients with biopsy-documented histology.

ORGANISM(S): Homo sapiens

SUBMITTER: Sunil Mathan Kurian

PROVIDER: E-GEOD-12187 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Publications

Biomarkers for early and late stage chronic allograft nephropathy by proteogenomic profiling of peripheral blood.

Kurian Sunil M SM Heilman Raymond R Mondala Tony S TS Nakorchevsky Aleksey A Hewel Johannes A JA Campbell Daniel D Robison Elizabeth H EH Wang Lin L Lin Wen W Gaber Lillian L Solez Kim K Shidban Hamid H Mendez Robert R Schaffer Randolph L RL Fisher Jonathan S JS Flechner Stuart M SM Head Steve R SR Horvath Steve S Yates John R JR Marsh Christopher L CL Salomon Daniel R DR

PloS one 20090710 7

<h4>Background</h4>Despite significant improvements in life expectancy of kidney transplant patients due to advances in surgery and immunosuppression, Chronic Allograft Nephropathy (CAN) remains a daunting problem. A complex network of cellular mechanisms in both graft and peripheral immune compartments complicates the non-invasive diagnosis of CAN, which still requires biopsy histology. This is compounded by non-immunological factors contributing to graft injury. There is a pressing need to ide ...[more]

PMID: 19593431

Similar Datasets

Project description:We previously observed reduced graft survival for kidney transplants having interstitial fibrosis with subclinical inflammation, but not fibrosis alone, on 1-year protocol biopsy. The current study aimed to determine whether fibrosis with inflammation at 1 year is associated with renal functional decline in a low-risk transplant cohort and to characterize the nature of the inflammation. Subjects were living-donor, tacrolimus/mycophenolate-treated transplant recipients without overt risk factors for reduced graft survival (n=151). Transplants with normal histology (n=86) or fibrosis alone (n=45) on 1-year protocol biopsy had stable renal function between 1 and 5 years, while those having fibrosis with inflammation (n=20) had declining glomerular filtration rate and reduced graft survival. Immunohistochemistry confirmed increased interstitial T-cells and macrophages/dendritic cells in the fibrosis with inflammation group. Gene expression was performed on a subset of biopsies in each group and demonstrated increased expression of transcripts related to innate and cognate immunity in transplants having fibrosis with inflammation. Pathway- and pathological process-specific analyses of microarray profiles revealed that, in fibrosis with inflammation, over-expressed transcripts were enriched for potentially damaging immunological activities including Toll-like receptor signaling, antigen presentation/dendritic cell maturation, interferon gamma-inducible response, cytotoxic T lymphocyte-associated and acute rejection-associated genes. Thus, fibrosis with inflammation in 1-year protocol biopsies is associated with reduced graft survival and function and with a rejection-like gene expression signature even in recipients with no clinical risk for inferior outcome. Early interventions aimed at altering rejection-like inflammation may favor improved long-term KTx survival. We analyzed gene expression from a group of 65 renal transplant recipients. Patient groups were carefully selected to include patients on the same immunosuppression (Prograf-MMF-Pred), transplant type (LD), absence of over post-transplant complications (AR, BK, DGF). For each patient a 1 year protocol biopsy was examined by conventional histology and gene expression. By histology the patients were categorized as histologically normal (n=25, i/cg/ci=0), IF/TA (n=24, i/cg=0, ci>0) and IFTA+i (n=16, cg=0, i/ci>0). This dataset is part of the TransQST collection.

Project description:Long-term allograft survival generally requires lifelong immunosuppression. Rarely, recipients display spontaneous operational tolerance with stable graft function in the absence of immunosuppression. The lack of biological markers of this phenomenon precludes identification of potentially tolerant patients in which immunosuppression could be tapered and hinders the development of new tolerance inducing strategies. The objective of this study was to identify minimally invasive blood biomarkers for operational tolerance and utilize these biomarkers to determine the frequency of this state in immunosupressed patients with stable graft function. Blood gene expression profiles from 75 renal transplant patient cohorts (operational tolerance/acute and chronic rejection/stable graft function on immunosuppression) and 16 healthy individuals were analyzed. A subset of samples was used for microarray analysis where three-class comparison of the different groups of patients identified a tolerant footprint of 49 genes. These biomarkers were applied for prediction of operational tolerance by microarray and real-time PCR in independent test-groups. 33/49 genes correctly segregated tolerance and chronic rejection phenotypes with 99% and 86% specificity. The signature is shared with 1/12 and 5/10 stable patients on triple immunosuppression and low dose steroid monotherapy respectively. The gene signature suggests a pattern of reduced co-stimulatory signaling, immune quiescence, apoptosis and memory T cell responses. This study identifies in the blood of kidney recipients a set of genes associated with operational tolerance that may have utility as a minimally-invasive monitoring tool for guiding immunosuppression titration. Further validation of this tool for safe immunosuppression minimization in prospective clinical trials is warranted. 67 samples were analyzed, no replicates included: 1. TOL (n = 12). patients with long-term stable graft function, without immunosuppression for at least 2 years 2. MIS (n = 10). Patients with stable graft function on steroid monotherapy (<10 mg/day) for 4.6. Calcineurin inhibitors and CellCept were removed in these patients because of previous posttransplant lymphoproliferative disease (n = 6), cancer (n = 2), or uncontrolled infectious disease (n = 2). 3. STA (n = 12). Patients with stable kidney graft function at >5 years posttransplantation while under mycophenolate mofetil or azathioprine and maintenance steroids with (n = 5) or without (n = 7) an associated calcineurin inhibitor. 4. AR (n = 14). Patients experiencing rapid decline (>20% from baseline) in graft function and biopsy-proven AR. 5. CR (n = 11). Patients having a progressive degradation of their renal function (creatinine clearance of <60 ml per min per 1.73 m2 and/or proteinuria of >1.5 g/day) and histological signs CR. 6. N (n = 8). These subjects all had normal blood formulae and no infectious or other concomitant pathology for at least 6 months before the study.

Dataset Information

Transcription profiling of human blood from kidney transplant patients to identify biomarkers for early and late stage chronic allograft nephropathy by genomic profiling

Publications

Biomarkers for early and late stage chronic allograft nephropathy by proteogenomic profiling of peripheral blood.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets