Liquid biopsy for non-invasive monitoring of patients with kidney transplants

Anthony Nassar, Katharine Cashman, Shreya Rao, Maribel Dagher, Connor O’Brien, John Afif, Paolo Cravedi, Jamil R. Azzi

Research output: Contribution to journalReview articlepeer-review

3 Scopus citations

Abstract

The current tools for diagnosing and monitoring native kidney diseases as well as allograft rejection in transplant patients are suboptimal. Creatinine and proteinuria are non-specific and poorly sensitive markers of injury. Tissue biopsies are invasive and carry potential complications. In this article, we overview the different techniques of liquid biopsy and discuss their potential to improve patients’ kidney health. Several diagnostic, predictive, and prognostic biomarkers have been identified with the ability to detect and monitor the activity of native kidney diseases as well as early and chronic allograft rejection, such as donor-derived cell-free DNA, exosomes, messenger RNA/microsomal RNA, proteomics, and so on. While the results are encouraging, additional research is still needed as no biomarker appears to be perfect for a routine application in clinical practice. Despite promising advancements in biomarkers, the most important issue is the lack of standardized pre-analytical criteria. Large validation studies and uniformed standard operating procedures are required to move the findings from bench to bedside. Establishing consortia such as the Liquid Biopsy Consortium for Kidney Diseases can help expedite the research process, allow large studies to establish standardized procedures, and improve the management and outcomes of kidney diseases and of kidney transplant recipients.

Original languageEnglish
Article number1148725
JournalFrontiers in Transplantation
Volume2
DOIs
StatePublished - 2023

Keywords

  • biomarkers
  • cytokines
  • ddcfDNA
  • exosomes
  • kidney diseases
  • kidney transplantation
  • liquid biopsy
  • proteomics

Fingerprint

Dive into the research topics of 'Liquid biopsy for non-invasive monitoring of patients with kidney transplants'. Together they form a unique fingerprint.

Cite this