Absolute quantification of donor-derived cell-free DNA following pediatric and adult heart transplantation

Jens Böhmer1, Håkan Wåhlander2, Karin Tran-Lundmark3

  • 1Transplant Institute, Sahlgrenska University Hospital, Gothenburg, Sweden; Department of Pediatrics, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden; Department of Pediatrics, Clinic Frankfurt-Höchst, Frankfurt, Germany.

Insights

Donor-derived cell-free DNA (dd-cfDNA) shows promise for monitoring heart transplant rejection. Absolute quantification of dd-cfDNA effectively detects symptomatic rejection, potentially reducing the need for invasive biopsies.

Area of Science:

  • Cardiovascular Medicine
  • Transplantation Immunology
  • Molecular Diagnostics

Background:

  • Endomyocardial biopsies (EMBs) are the standard for heart transplant rejection surveillance but are invasive and costly.
  • Cell-free DNA (cfDNA) monitoring, particularly donor-derived cfDNA (dd-cfDNA), offers a less invasive alternative.
  • Previous studies primarily focused on donor fraction (DF) of dd-cfDNA, limiting comprehensive evaluation.

Purpose of the Study:

  • To evaluate the performance of absolute quantification of dd-cfDNA in detecting rejection after heart transplantation (HTx).
  • To compare the diagnostic accuracy of dd-cfDNA with the donor fraction (DF) for rejection surveillance.
  • To assess the utility of dd-cfDNA in identifying symptomatic rejection episodes.

Main Methods:

  • Prospective enrollment of 94 heart transplant recipients across multiple centers.
  • Concurrent collection of blood samples and endomyocardial biopsies (EMBs) for analysis.
  • Quantification of dd-cfDNA using droplet digital PCR (ddPCR) and comparison with EMB results.

Main Results:

  • A total of 1007 EMB and blood samples were analyzed.
  • dd-cfDNA demonstrated good discrimination between rejection and quiescence (AUC 0.68) compared to DF (AUC 0.65).
  • Absolute dd-cfDNA levels achieved an AUC of 0.87 for detecting symptomatic rejection, significantly outperforming DF (AUC 0.75).

Conclusions:

  • Absolute quantification of dd-cfDNA is a highly effective method for monitoring heart transplant graft health.
  • This approach shows superior performance in detecting symptomatic rejection compared to donor fraction analysis.
  • dd-cfDNA monitoring may reduce the reliance on invasive EMBs and aid in understanding factors affecting cfDNA levels.
Abstract