Gene expression profiling of the donor kidney at the time of transplantation predicts clinical outcomes 2 years after transplantation

Hum Immunol. 2010 May;71(5):451-5. doi: 10.1016/j.humimm.2010.02.013. Epub 2010 Mar 10.


We have previously demonstrated that biomarkers of inflammation and immune activity detected within intraoperative renal transplant allograft biopsies are linked to adverse short-term post-transplantation clinical outcomes. Now we provide a post hoc analysis of our earlier data in the light of longer clinical follow-up. A total of 75 consecutively performed renal allografts were analyzed for gene expression of proinflammatory molecules, inflammation-induced adhesion molecules, and antiapoptotic genes expressed 15 minutes after vascular reperfusion to determine whether this analysis can aid in predicting long-term quality of renal function, proteinuria, graft loss, and death-censored graft. We have built predictive models for proteinuria (area under the curve = 0.859, p = 0.0001) and graft loss (area under the curve = 0.724, p = 0.027) 2 years post-transplantation using clinical variables in combination with intragraft gene expression data of tumor necrosis factor-alpha, interleukin-6, CD40, CD3, and tumor necrosis factor-alpha, Bcl-2, and interferon-gamma, respectively. This post hoc analysis demonstrates that hypothesis-driven, targeted polymerase chain reaction profiling of gene expression in the donor kidney at the time of engraftment can predict 2-year post-transplantation clinical outcomes.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Area Under Curve
  • Biomarkers / analysis*
  • Gene Expression Profiling*
  • Graft Rejection / genetics
  • Graft Rejection / immunology
  • Graft Survival / genetics*
  • Graft Survival / immunology
  • Humans
  • Kidney Transplantation / immunology*
  • Polymerase Chain Reaction
  • ROC Curve
  • Tissue Donors*
  • Treatment Outcome


  • Biomarkers