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Updated: Jun 28, 2025

Quantification of Circulating Pig-Specific DNA in the Blood of a Xenotransplantation Model

Quantification of Circulating Pig-Specific DNA in the Blood of a Xenotransplantation Model

Published on: September 22, 2020

Circulating, cell-free methylated DNA indicates cellular sources of allograft injury after liver transplant.

Megan E McNamara¹, Sidharth S Jain¹, Kesha Oza^2,3

¹Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC, USA.

Biorxiv : the Preprint Server for Biology

|April 15, 2024

Summary

This summary is machine-generated.

Monitoring cell-free DNA (cfDNA) fragments in liver transplant patients can detect early signs of allograft injury. This non-invasive method tracks organ-specific cell damage, enabling timely interventions for better patient outcomes.

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Published on: September 6, 2017

Area of Science:

Transplantation immunology
Molecular diagnostics
Genomics

Background:

Post-transplant complications significantly impact graft and patient survival.
Current non-invasive methods for detecting allograft injury lack specificity regarding cellular mechanisms.

Purpose of the Study:

To develop a non-invasive method for monitoring cellular damage and detecting early allograft injury after liver transplantation using cell-free DNA (cfDNA).

Main Methods:

Analysis of 130 blood samples from 44 liver transplant patients at various time points.
Sequence-based methylation mapping of cfDNA fragments to identify cell types.
Integration of multi-omic data and DNA methylation patterns to assess cell-specific damage.

Main Results:

Multi-tissue cellular damages post-transplant resolved within the first week in patients without allograft injury.
Sustained elevation of hepatocyte and biliary epithelial cfDNA beyond the first week indicated early-onset allograft injury.
cfDNA composition successfully differentiated among causes of allograft injury.

Conclusions:

cfDNA methylation profiling offers a promising non-invasive approach for early detection and monitoring of liver allograft injury.
This method has the potential to guide timely interventions, improving patient and graft survival.
Distinguishing cfDNA patterns can help identify specific causes of allograft damage.