Circulating, cell-free methylated DNA indicates cellular sources of allograft injury after liver transplant.
Megan E McNamaraSidharth S JainKesha OzaVinona MuralidaranAmber J KilitiA Patrick McDeedDigvijay PatilYuki CuiMarcel O SchmidtVirginie OryAlexander H K KroemerAnton WellsteinPublished in: bioRxiv : the preprint server for biology (2024)
Post-transplant complications reduce allograft and recipient survival. Current approaches for detecting allograft injury non-invasively are limited and do not differentiate between cellular mechanisms. Here, we monitor cellular damages after liver transplants from cell-free DNA (cfDNA) fragments released from dying cells into the circulation. We analyzed 130 blood samples collected from 44 patients at different time points after transplant. Sequence-based methylation of cfDNA fragments were mapped to patterns established to identify cell types in different organs. For liver cell types DNA methylation patterns and multi-omic data integration show distinct enrichment in open chromatin and regulatory regions functionally important for the respective cell types. We find that multi-tissue cellular damages post-transplant recover in patients without allograft injury during the first post-operative week. However, sustained elevation of hepatocyte and biliary epithelial cfDNA beyond the first week indicates early-onset allograft injury. Further, cfDNA composition differentiates amongst causes of allograft injury indicating the potential for non-invasive monitoring and timely intervention.
Keyphrases
- cell free
- early onset
- dna methylation
- kidney transplantation
- single cell
- cell therapy
- genome wide
- gene expression
- circulating tumor
- end stage renal disease
- newly diagnosed
- late onset
- ejection fraction
- transcription factor
- dna damage
- minimally invasive
- stem cells
- peritoneal dialysis
- palliative care
- prognostic factors
- signaling pathway
- chronic kidney disease
- cell proliferation
- risk factors
- oxidative stress
- single molecule
- electronic health record
- big data
- circulating tumor cells
- copy number
- liver injury
- cell death
- artificial intelligence
- bone marrow
- deep learning
- drug induced