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Mouse Kidney Transplantation: Models of Allograft Rejection
Published on: October 11, 2014
Expression of complement components differs between kidney allografts from living and deceased donors
Maarten Naesens1, Li Li, Lihua Ying
1Department of Pediatrics, Stanford University School of Medicine, Stanford, CA 94305, USA.
Journal of the American Society of Nephrology : JASN
|May 16, 2009
Summary
Renal allografts from deceased donors show lower survival. Increased complement gene expression in deceased-donor kidneys, linked to donor factors and ischemia, may impact graft function. Complement-modulating therapy could improve outcomes.
Area of Science:
- Nephrology
- Transplantation Immunology
- Genomics
Background:
- Renal allograft survival differs significantly between living and deceased donors.
- Understanding molecular disparities can lead to targeted therapies for enhanced graft survival.
- The complement system's role in renal allograft outcomes requires further investigation.
Purpose of the Study:
- To examine whole genome expression profiles in human renal allografts to identify molecular mechanisms underlying donor source disparities.
- To investigate the association between gene expression, particularly complement pathway genes, and renal allograft function.
- To explore the impact of peritransplantation factors on gene expression and graft outcomes.
Main Methods:
- Microarray analysis of whole genome expression profiles from 53 human renal allograft protocol biopsies.
- Comparison of gene expression between living-donor and deceased-donor kidneys at implantation and post-transplantation.
- Correlation of complement gene expression with donor characteristics, peritransplantation phenomena, and graft function.
Main Results:
- Significant differences in gene expression profiles were observed between living-donor and deceased-donor kidneys pre-reperfusion.
- Deceased-donor kidneys showed increased renal expression of complement genes.
- Increased complement gene expression post-transplantation was noted in well-functioning, non-rejecting kidneys, irrespective of donor source.
- Peritransplantation factors like donor death and cold ischemia time influenced complement pathway gene expression.
- Implantation-time complement gene expression correlated with both early and late graft function.
Conclusions:
- Complement pathway activation is implicated in renal allograft outcomes.
- Peritransplantation factors significantly influence complement gene expression.
- Complement gene expression at implantation serves as a predictive marker for graft function.
- Targeting the complement system may represent a promising therapeutic strategy to improve renal allograft survival.
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