Identification of common blood gene signatures for the diagnosis of renal and cardiac acute allograft rejection

PLoS One. 2013 Dec 16;8(12):e82153. doi: 10.1371/journal.pone.0082153. eCollection 2013.

Abstract

To test, whether 10 genes, diagnostic of renal allograft rejection in blood, are able to diagnose and predict cardiac allograft rejection, we analyzed 250 blood samples from heart transplant recipients with and without acute rejection (AR) and with cytomegalovirus (CMV) infection by QPCR. A QPCR-based logistic regression model was built on 5 of these 10 genes (AR threshold composite score >37% = AR) and tested for AR prediction in an independent set of 109 samples, where it correctly diagnosed AR with 89% accuracy, with no misclassifications for AR ISHLT grade 1b. CMV infection did not confound the AR score. The genes correctly diagnosed AR in a blood sample within 6 months prior to biopsy diagnosis with 80% sensitivity and untreated grade 1b AR episodes had persistently elevated scores until 6 months after biopsy diagnosis. The gene score was also correlated with presence or absence of cardiac allograft vasculopathy (CAV) irrespective of rejection grade. In conclusion, there is a common transcriptional axis of immunological trafficking in peripheral blood in both renal and cardiac organ transplant rejection, across a diverse recipient age range. A common gene signature, initially identified in the setting of renal transplant rejection, can be utilized serially after cardiac transplantation, to diagnose and predict biopsy confirmed acute heart transplant rejection.

MeSH terms

  • Adult
  • Aged
  • Allografts
  • Biomarkers / blood
  • Cytomegalovirus Infections / blood
  • Cytomegalovirus Infections / complications*
  • Female
  • Gene Expression*
  • Graft Rejection / blood
  • Graft Rejection / complications
  • Graft Rejection / diagnosis*
  • Heart Transplantation*
  • Humans
  • Kidney Transplantation*
  • Male
  • Middle Aged

Substances

  • Biomarkers

Grants and funding

The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.