Inflammatory macrophage-associated 3-gene signature predicts subclinical allograft injury and graft survival

JCI Insight. 2018 Jan 25;3(2):e95659. doi: 10.1172/jci.insight.95659.

Abstract

Late allograft failure is characterized by cumulative subclinical insults manifesting over many years. Although immunomodulatory therapies targeting host T cells have improved short-term survival rates, rates of chronic allograft loss remain high. We hypothesized that other immune cell types may drive subclinical injury, ultimately leading to graft failure. We collected whole-genome transcriptome profiles from 15 independent cohorts composed of 1,697 biopsy samples to assess the association of an inflammatory macrophage polarization-specific gene signature with subclinical injury. We applied penalized regression to a subset of the data sets and identified a 3-gene inflammatory macrophage-derived signature. We validated discriminatory power of the 3-gene signature in 3 independent renal transplant data sets with mean AUC of 0.91. In a longitudinal cohort, the 3-gene signature strongly correlated with extent of injury and accurately predicted progression of subclinical injury 18 months before clinical manifestation. The 3-gene signature also stratified patients at high risk of graft failure as soon as 15 days after biopsy. We found that the 3-gene signature also distinguished acute rejection (AR) accurately in 3 heart transplant data sets but not in lung transplant. Overall, we identified a parsimonious signature capable of diagnosing AR, recognizing subclinical injury, and risk-stratifying renal transplant patients. Our results strongly suggest that inflammatory macrophages may be a viable therapeutic target to improve long-term outcomes for organ transplantation patients.

Keywords: Immunology; Macrophages; Organ transplantation; Transplantation.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't
  • Validation Study

MeSH terms

  • Adult
  • Allografts / pathology*
  • Biomarkers
  • Biopsy
  • Datasets as Topic
  • Gene Expression Profiling
  • Graft Rejection / diagnosis*
  • Graft Rejection / genetics
  • Graft Rejection / immunology
  • Graft Rejection / pathology
  • Graft Survival / genetics
  • Graft Survival / immunology
  • Humans
  • Longitudinal Studies
  • Macrophages / immunology*
  • Macrophages / metabolism
  • Male
  • Middle Aged
  • Organ Transplantation / adverse effects*
  • Predictive Value of Tests
  • Prognosis
  • ROC Curve
  • Risk Assessment / methods
  • Transcriptome / immunology*
  • Transplantation, Homologous / adverse effects

Substances

  • Biomarkers