Development and validation of urinary exosomal microRNA biomarkers for the diagnosis of acute rejection in kidney transplant recipients

Front Immunol. 2023 May 9:14:1190576. doi: 10.3389/fimmu.2023.1190576. eCollection 2023.

Abstract

Introduction: Acute rejection (AR) continues to be a significant obstacle for short- and long-term graft survival in kidney transplant recipients. Herein, we aimed to examine urinary exosomal microRNAs with the objective of identifying novel biomarkers of AR.

Materials and methods: Candidate microRNAs were selected using NanoString-based urinary exosomal microRNA profiling, meta-analysis of web-based, public microRNA database, and literature review. The expression levels of these selected microRNAs were measured in the urinary exosomes of 108 recipients of the discovery cohort using quantitative real-time polymerase chain reaction (qPCR). Based on the differential microRNA expressions, AR signatures were generated, and their diagnostic powers were determined by assessing the urinary exosomes of 260 recipients in an independent validation cohort.

Results: We identified 29 urinary exosomal microRNAs as candidate biomarkers of AR, of which 7 microRNAs were differentially expressed in recipients with AR, as confirmed by qPCR analysis. A three-microRNA AR signature, composed of hsa-miR-21-5p, hsa-miR-31-5p, and hsa-miR-4532, could discriminate recipients with AR from those maintaining stable graft function (area under the curve [AUC] = 0.85). This signature exhibited a fair discriminative power in the identification of AR in the validation cohort (AUC = 0.77).

Conclusion: We have successfully demonstrated that urinary exosomal microRNA signatures may form potential biomarkers for the diagnosis of AR in kidney transplantation recipients.

Keywords: acute rejection; exosome; kidney transplantation; microRNA; urine.

Publication types

  • Meta-Analysis
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Biomarkers
  • Humans
  • Kidney Transplantation* / adverse effects
  • MicroRNAs* / genetics
  • Real-Time Polymerase Chain Reaction

Substances

  • MicroRNAs
  • Biomarkers

Grants and funding

This work was supported by the National Research Foundation of Korea, funded by the Korean Government Ministry of Science and ICT (grant number RS-2023-00213976), the Korean Health Technology R&D Project, Ministry of Health & Welfare (grant number HV22C019300), and a grant from Research year of Inje University in 2020.