Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Transcriptome signature in early biopsies of stably functioning kidney allografts identify patients at risk for chronic injury

ABSTRACT: Chronic injury in kidney transplants remains a major cause of graft loss. The aim of this study was to identify a predictive gene set capable of classifying renal grafts at risk for progressive injury due to fibrosis.The Genomics of Chronic Allograft Rejection (GoCAR) study is a prospective, multicenter study. Biopsies obtained prospectively 3 months after transplantation from renal allograft recipients (n=159) with stable renal function were analyzed for gene expression by microarray. Genes were sought which correlated with subsequent 12-month Chronic Allograft Damage Index (CADI) but neither CADI in the 3 month biopsy nor other histological or clinical parameters. We identified a set of 13 genes that was independently predictive for the development of fi brosis at 1 year (ie, CADI-12 >=2). The gene set had high predictive capacity (area under the curve [AUC] 0·967), which was superior to that of baseline clinical variables (AUC 0·706) and clinical and pathological variables (AUC 0·806). Furthermore routine pathological variables were unable to identify which histologically normal allografts would progress to fi brosis (AUC 0·754), whereas the predictive gene set accurately discriminated between transplants at high and low risk of progression (AUC 0·916). The 13 genes also accurately predicted early allograft loss (AUC 0·842 at 2 years and 0·844 at 3 years). We validated the predictive value of this gene set in an independent cohort from the GoCAR study (n=45, AUC 0·866) and two independent, publically available expression datasets (n=282, AUC 0·831 and n=24, AUC 0·972). Biopsies obtained prospectively 3 months after transplantation from renal allograft recipients (n=159) with stable renal function were analyzed for gene expression by Affymetrix exon arrays. Genes that were specifically correlated with 12-month Chronic Allograft Damage Index (CADI) but neither CADI in the 3 month biopsy nor other histological or clinical parameters were identified by correlation analysis. The minimal geneset was further identified to predict the progressors/non progressors and validated by qPCR in an independent cohort and two public datasets. This dataset is part of the TransQST collection.

ORGANISM(S): Homo sapiens

SUBMITTER: Weijia Zhang

PROVIDER: E-GEOD-57387 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Intronic locus determines SHROOM3 expression and potentiates renal allograft fibrosis.

Menon Madhav C MC Chuang Peter Y PY Li Zhengzhe Z Wei Chengguo C Zhang Weijia W Luan Yi Y Yi Zhengzi Z Xiong Huabao H Woytovich Christopher C Greene Ilana I Overbey Jessica J Rosales Ivy I Bagiella Emilia E Chen Rong R Ma Meng M Li Li L Ding Wei W Djamali Arjang A Saminego Millagros M O'Connell Philip J PJ Gallon Lorenzo L Colvin Robert R Schroppel Bernd B He John Cijiang JC Murphy Barbara B

The Journal of clinical investigation 20141201 1

Fibrosis underlies the loss of renal function in patients with chronic kidney disease (CKD) and in kidney transplant recipients with chronic allograft nephropathy (CAN). Here, we studied the effect of an intronic SNP in SHROOM3, which has previously been linked to CKD, on the development of CAN in a prospective cohort of renal allograft recipients. The presence of the rs17319721 allele at the SHROOM3 locus in the donor correlated with increased SHROOM3 expression in the allograft. In vitro, we d ...[more]

PMID: 25437874

Publication: 1/2

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Project description:CONTEXT Slowly progressive chronic tubulo-interstitial damage jeopardizes long-term renal allograft survival. Both immune and non-immune mechanisms are thought to contribute, but the most promising targets for timely intervention have not been identified. OBJECTIVE In the current study we seek to determine the driving force behind progressive histological damage of renal allografts, without the interference of donor pathology, delayed graft function and acute graft rejection. DESIGN We used microarrays to examine whole genome expression profiles in renal allograft protocol biopsies, and analyzed the correlation between gene expression and the histological appearance over time. The gene expression profiles in these protocol biopsies were then compared with gene expression of biopsies with acute T-cell mediated rejection. PATIENTS Human renal allograft biopsies (N=120) were included: 96 rejection-free protocol biopsies and 24 biopsies with T-cell mediated acute rejection. RESULTS In this highly cross-validated study, we demonstrate the significant association of established, ongoing and future chronic histological damage with regulation of adaptive immune gene expression (T-cell and B-cell transcript sets) and innate immune response gene expression (dendritic cell, NK-cell, mast cell and granulocyte transcripts). We demonstrate the ability of gene expression analysis to perform as a quantitative marker for ongoing inflammation with a wide dynamic range: from subtle subhistological inflammation prior to development of chronic damage, over moderate subclinical inflammation associated with chronic histological damage, to marked inflammation of Banff-grade acute T-cell mediated rejection. CONCLUSION Progressive chronic histological damage after kidney transplantation is associated with significant regulation of both innate and adaptive immune responses, months before the histological lesions appear. This study therefore corroborates the hypothesis that quantitative inflammation below the diagnostic threshold of classic T-cell or antibody-mediated rejection is associated with early subclinical stages of progressive renal allograft damage. We used microarrays to examine whole genome expression profiles in renal allograft protocol biopsies, and analyzed the correlation between gene expression and the histological appearance over time. The gene expression profiles in these protocol biopsies were then compared with gene expression of biopsies with acute T-cell mediated rejection. Human renal allograft biopsies (N=120) were included: 96 rejection-free protocol biopsies and 24 biopsies with T-cell mediated acute rejection.

Project description:Gene expression profiling of kidneys from the murine model of HIV-associated nephropathy (HIVAN) identified an association between the expression of an endoplasmic reticulum (ER)-associated protein reticulon-1, RTN1, and the severity of kidney disease. Of the three known RTN1 isoforms, only RTN1A protein expression was increased in kidneys of murine models of HIVAN, diabetic nephropathy (DN), and renal fibrosis and humans with HIVAN and DN. Both mRNA and protein expression of RTN1-A in the kidneys correlated inversely with estimated glomerular filtration rate (eGFR) in patients with DN. In kidney cells, RTN1 overexpression induced ER stress/apoptosis, whereas RTN1 knockdown attenuated tunicamycin-, and hyperglycemia-induced ER stress/apoptosis. Incubation of kidney cells with high glucose media induced RTN1A expression likely through oxidative pathway, while knockdown of RTN1A inhibited high glucose-induced apoptosis. RTN1A interacts with PERK and mutation of its N- or C-terminal domain abolished its effects on ER stress/apoptosis. In vivo, knockdown of Rtn1a expression either before or after kidney injury attenuated renal fibrosis in mice with unilateral ureteral obstruction (UUO) and tubular epithelial cell-specific knockdown of Rtn1a also ameliorated ER stress and renal fibrosis in the UUO mice. Finally, knockdown of Rtn1a also attenuated proteinuria, glomerular hypertrophy, and mesangial expansion in STZ-induced diabetic mice, which were associated with suppression of ER stress markers. Taken together, these data suggest that RTN1 is a mediator of kidney disease progression that exacerbates kidney injury through ER stress and apoptosis. Animal studies: All animal studies were approved by the IACUC committee of Mount Sinai School of Medicine. HIV-1 transgenic mice, Tg26, and their littermates were generated and genotyped as described. Only male heterozygous Tg26 in the FVB/N background were used in the study, because homozygous HIV-transgenic mice are not viable for more than few weeks postnatally. UUO and folic acid-induced nephropathy models were created as described . Mice were grouped as wild type, Tg26 with mild kidney injury, Tg26, with serious kidney injury. The kidneys were collected from these mice for histology, western blot, real-time PCR analysis, and microarray studies. Kidney disease was confirmed by measurement of proteinuria, renal function, and histologic analysis. Microarray studies: Affymetrix gene expression microarrays were performed at the Mount Sinai Institution Microarray Core Facility. The Affymetrix GeneChip® Mouse Genome 430 2.0 Array was used to profile gene expression in the kidney cortex of Tg26 and WT mice 37. One-way analysis of variance test (ANOVA) was applied to the dataset to identify the genes that were differentially expressed between the two groups. P-values were corrected using Benjamini–Hochberg false discovery rate (FDR) with a threshold of 0.05.

Project description:Steroid-refractory acute rejection is a risk factor for inferior renal allograft outcome. We aimed to gain insight into the mechanisms underlying steroid resistance by identifying novel molecular markers of steroid-refractory acute rejection. Eighty-three kidney transplant recipients (1995-2005), who were treated with methylprednisolone during a first acute rejection episode, were included in this study. Gene expression patterns were investigated in a discovery cohort of 36 acute rejection biopsies, and verified in a validation cohort of 47 acute rejection biopsies. In the discovery set, expression of metallothioneins (MT) was significantly (P<0.000001) associated with decreased response to steroid treatment. Multivariate analysis resulted in a predictive model containing MT-1 as an independent covariate (AUC=0.88, P<0.0000001). In the validation set, MT-1 expression was also significantly associated with steroid resistance (P=0.029). Metallothionein expression was detected in macrophages and tubular epithelial cells. Parallel to the findings in patients, in vitro experiments of peripheral blood mononuclear cells from 11 donors showed that non-response to methylprednisolone treatment is related to highly elevated MT levels. High expression of metallothioneins in renal allografts is associated with resistance to steroid treatment. Metallothioneins regulate intracellular concentrations of zinc, through which they may diminish the zinc-requiring anti-inflammatory effect of the glucocorticoid receptor. Transcriptional profiles of 40 renal allograft biopsy samples were analyzed using Illumina HumanRef-8 v3.0 BeadChips (Illumina, San Diego, CA). Expression profiles were investigated in total RNA isolated from biopsy samples of 18 patients with steroid responsive acute rejection and 18 patients with steroid resistant acute rejection. Four biopsies, taken during acute decrease of graft function but with no histomorphologic indication of rejection, were included as controls.

Project description:Using meta-analysis of eight independent transplant datasets (236 graft biopsy samples) from four organs, we identified a common rejection module (CRM) consisting of 11 genes that were significantly overexpressed in acute rejection (AR) across all transplanted organs. The CRM genes could diagnose AR with high specificity and sensitivity in three additional independent cohorts (794 samples). In another two independent cohorts (151 renal transplant biopsies), the CRM genes correlated with the extent of graft injury and predicted future injury to a graft using protocol biopsies. Inferred drug mechanisms from the literature suggested that two FDA-approved drugs (atorvastatin and dasatinib), approved for non-transplant indications, could regulate specific CRM genes and reduce the number of graft infiltrating cells during acute rejection. We treated mice with HLA-mismatched murine cardiac transplant with atorvastatin and dasatinib and showed reduction of the CRM genes, significant reduction of graft infiltrating cells, and extended graft survival. We further validated the beneficial effect of atorvastatina on graft survival by retrospective analysis of electronic medical records of a single-center cohort of 2,515 renal transplant patients. In conclusion, we identified a CRM in transplantation that provides new opportunities for diagnosis, drug repositioning and rational drug design. The eight transplant data sets used for discovery include GSE4315, GSE2596, GSE4470, GSE9377, GSE1563, GSE9493, GSE13440, GSE6095. The two additional independent cohorts of 151 transplant biopsies are GSE25902 and GSE1563. Not all samples from all studies were used. Only the samples marked as either AR or STA in each data set were used for analysis. The 101 samples in this study were used as case-control experiment between acute rejection (AR) and stable (STA) in renal transplant. The samples in this series are one of the three independent validation cohorts. The other two cohorts are described in GSE21374 and GSE36059

Dataset Information

Transcriptome signature in early biopsies of stably functioning kidney allografts identify patients at risk for chronic injury

Publications

Intronic locus determines SHROOM3 expression and potentiates renal allograft fibrosis.

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