Donor-derived cell-free DNA is associated with cardiac allograft vasculopathy

Luise Holzhauser1, Kevin J Clerkin2, Takeo Fujino1

  • 1Department of Cardiology, University of Chicago, Chicago, IL, USA.

Clinical Transplantation
|December 28, 2020
PubMed

Insights

Donor-derived cell-free DNA (dd-cfDNA) is associated with cardiac allograft vasculopathy (CAV) in stable heart transplant recipients. Higher dd-cfDNA levels indicate a greater likelihood of CAV, suggesting its potential role in monitoring transplant health.

Area of Science:

  • Transplantation immunology
  • Molecular diagnostics
  • Cardiovascular research

Background:

  • Cardiac allograft vasculopathy (CAV) is a major cause of heart transplant failure.
  • The utility of donor-derived cell-free DNA (dd-cfDNA) for CAV screening remains unclear.
  • This study investigates the correlation between dd-cfDNA and CAV in stable heart transplant (HT) recipients.

Purpose of the Study:

  • To determine if dd-cfDNA levels correlate with the presence of CAV in stable HT recipients.
  • To explore the relationship between dd-cfDNA, inflammation, and angiogenesis markers.
  • To assess the potential of dd-cfDNA as a non-invasive biomarker for CAV.

Main Methods:

  • Sixty-five stable HT recipients (≥2 years post-transplant) were stratified based on dd-cfDNA levels (<0.12% vs. ≥0.12%).
  • dd-cfDNA was quantified using a targeted amplification, next-generation sequencing assay (AlloSure®).
  • Peripheral blood inflammatory and angiogenesis markers were measured via multiplex immunoassay.

Main Results:

  • CAV was diagnosed in 63% of patients with high dd-cfDNA versus 35% with low dd-cfDNA (p=0.047).
  • Donor-specific antibodies were more prevalent in the high dd-cfDNA group (25% vs. 3.8%, p=0.03).
  • No significant differences were observed in rejection episodes, inflammatory, or angiogenesis markers between groups.

Conclusions:

  • Elevated dd-cfDNA levels are associated with the presence of CAV in stable HT recipients.
  • dd-cfDNA may serve as a valuable biomarker for detecting CAV.
  • Further research is needed to evaluate dd-cfDNA's role in predicting CAV progression and severity.
Abstract