Exosome-derived galectin-9 may be a novel predictor of rejection and prognosis after liver transplantation

J Zhejiang Univ Sci B. 2019 Jul;20(7):605-612. doi: 10.1631/jzus.B1900051.

Abstract

Acute cellular rejection (ACR) remains a major concern after liver transplantation. Predicting and monitoring acute rejection by non-invasive methods are very important for guiding the use of immunosuppressive drugs. Many studies have shown that exosomes and their contents are potential biomarkers for various liver diseases. Here, we identify and validate the role of exosomes and galectin-9 in ACR after liver transplantation. Exosomes were isolated from three sets of paired patients, with and without ACR, and the proteins within the exosomes were isolated and identified. Candidate proteins were then validated using a tissue microarray containing resected liver samples from 73 ACR and 63 non-rejection patients. Finally, protein expression and clinical manifestations were included in Kaplan-Meier survival and Cox regression analyses. Circulating exosomes were isolated from ACR and non-rejection patients and characterized using transmission electron microscopy and western blotting for CD63/CD81. Western blotting experiments revealed higher levels of galectin-9 protein in circulating exosomes from ACR recipients. Immunohistochemical analysis of the tissue microarray showed that the expression of galectin-9 in resected liver was significantly higher in the ACR group than in the non-rejection group (P<0.05). Higher levels of galectin-9 expression in resected livers were associated with poorer prognosis (P<0.05). Exosome-derived galectin-9 may be a novel predictor of rejection and prognosis after liver transplantation.

Keywords: Liver transplantation; Acute cellular rejection; Exosome; Galectin-9.

MeSH terms

  • Adult
  • Biomarkers / metabolism
  • Exosomes / metabolism*
  • Female
  • Galectins / genetics*
  • Galectins / metabolism
  • Graft Rejection / genetics*
  • Graft Rejection / metabolism
  • Humans
  • Immunosuppressive Agents / therapeutic use
  • Kaplan-Meier Estimate
  • Liver / pathology
  • Liver Failure, Acute / mortality
  • Liver Failure, Acute / surgery*
  • Liver Transplantation*
  • Male
  • Middle Aged
  • Prognosis
  • Proportional Hazards Models
  • Steroids / therapeutic use
  • Tetraspanin 28 / metabolism
  • Tetraspanin 30 / metabolism
  • Tissue Array Analysis
  • Treatment Outcome

Substances

  • Biomarkers
  • CD63 protein, human
  • CD81 protein, human
  • Galectins
  • Immunosuppressive Agents
  • LGALS9 protein, human
  • Steroids
  • Tetraspanin 28
  • Tetraspanin 30