Dataset Information

Expression of complement components differs between kidney allografts from living and deceased donors.

ABSTRACT: A disparity remains between graft survival of renal allografts from deceased donors and from living donors. A better understanding of the molecular mechanisms that underlie this disparity may allow the development of targeted therapies to enhance graft survival. Here, we used microarrays to examine whole genome expression profiles using tissue from 53 human renal allograft protocol biopsies obtained both at implantation and after transplantation. The gene expression profiles of living-donor kidneys and pristine deceased-donor kidneys (normal histology, young age) were significantly different before reperfusion at implantation. Deceased-donor kidneys exhibited a significant increase in renal expression of complement genes; posttransplantation biopsies from well-functioning, nonrejecting kidneys, regardless of donor source, also demonstrated a significant increase in complement expression. Peritransplantation phenomena, such as donor death and possibly cold ischemia time, contributed to differences in complement pathway gene expression. In addition, complement gene expression at the time of implantation was associated with both early and late graft function. These data suggest that complement-modulating therapy may improve graft outcomes in renal transplantation.

SUBMITTER: Naesens M

PROVIDER: S-EPMC2723986 | biostudies-literature | 2009 Aug

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Expression of complement components differs between kidney allografts from living and deceased donors.

Naesens Maarten M Li Li L Ying Lihua L Sansanwal Poonam P Sigdel Tara K TK Hsieh Szu-Chuan SC Kambham Neeraja N Lerut Evelyne E Salvatierra Oscar O Butte Atul J AJ Sarwal Minnie M MM

Journal of the American Society of Nephrology : JASN 20090514 8

A disparity remains between graft survival of renal allografts from deceased donors and from living donors. A better understanding of the molecular mechanisms that underlie this disparity may allow the development of targeted therapies to enhance graft survival. Here, we used microarrays to examine whole genome expression profiles using tissue from 53 human renal allograft protocol biopsies obtained both at implantation and after transplantation. The gene expression profiles of living-donor kidn ...[more]

PMID: 19443638

Similar Datasets

Project description:The survival of transplant kidneys using deceased donors (DD) is inferior to living donors (LD). In this study, we conducted a whole-transcriptome expression analysis of 24 human kidney biopsies paired 30 minutes and 3 months post-transplantation using DD and LD. The transcriptome profile was found significantly different between two time points regardless of donor types. There were 446 differentially expressed genes (DEGs) between DD and LD at 30 minutes and 146 DEGs at 3 months, with 25 genes common to both time points. These DEGs reflected donor injury and acute immune responses associated with inflammation and cell death as early as at 30 minutes, which could be a precious window of potential intervention. DEGs at 3 months mainly represented the changes of adaptive immunity, immunosuppressive treatment, remodeling or fibrosis via different networks and signaling pathways. The expression level of 20 DEGs involved in kidney diseases, and 10 genes found dysregulated at 30 minutes were validated by quantitative PCR (qPCR) in the 24 samples analyzed by microarray as well as in a validation cohort of 33 unpaired allograft biopsies. Their expression levels were found correlated with renal function and histology at 12 months, suggesting they could be potential biomarkers to predict kidney function. This analysis revealed that SERPINA3, SLPI and CBF is upregulated at 30 minutes in DD compared to LD, whereas FTCD and TASPN7 are up-regulated at both time points; at 3 months VCAN and TIMP1 are up-regulated, whereas FOS is decreased in both donors. Taken together, divergent transcriptomic signatures between DD and LD, and changed by the time post-transplantation, might contribute to different allograft survival of two type kidney donors. Some DEGs such as FTCD and TASPN7 could be novel biomarkers not only for timely diagnosis, but also early for precise genetic intervention at donor preservation, implantation and post-transplantation, in particular to effectively improve the quality and survival of DD.

Dataset Information

Expression of complement components differs between kidney allografts from living and deceased donors.

Publications

Expression of complement components differs between kidney allografts from living and deceased donors.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets