Integrated targeted deep sequencing reveals unique tissue-of-origin and donor-derived cell-free DNA signatures in organ transplant recipients
Kueng, N.; Sandberg, F.; Sidler, D.; Banz, V.; Berzigotti, A.; Ng, C. K. Y.; Largiader, C. R.; Amstutz, U.
Show abstract
Solid organ transplantation is currently the best option to treat end-stage organ disease. However, it requires lifelong immunosuppressive therapy in most cases, and the diagnosis of rejection and other types of graft injury requires invasive biopsy testing, which poses significant challenges. We developed a targeted deep sequencing assay that extends conventional donor-derived cell-free DNA (dd-cfDNA) analysis by incorporating tissue-of-origin information with the aim of improved non-invasive monitoring of transplant recipients. In this study, plasma cfDNA from liver transplant (LT) and kidney transplant (KT) recipients was analyzed alongside healthy controls to characterize cfDNA release and clearance patterns from graft and recipient cell types, and to identify potential tissue injury signatures. Our assay accurately detected low-abundance, tissue-specific cfDNA, revealing unique cfDNA release patterns associated with the transplanted organ type in recipients with stable allografts. In the early post-transplant period, LT and KT patients exhibited different cfDNA kinetics in numerous tissues, reflecting variation in the response and recovery following reperfusion injury and surgical trauma. Furthermore, the comparison of tissue- and donor-specific cfDNA proportions within 24 hours after transplantation supports a multisource donor-tissue cfDNA release. These findings suggest that incorporating tissue-of-origin information with dd-cfDNA quantification provides important additional insights for evaluating transplant recipient health.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Th1/17 Cells Infiltrate Murine Cytomegalovirus-Infected Renal Allografts via Virus-Induced CCL20 and Promote Th1 Cells through IL-17A. 95%
- Improving diagnostic performance of kidney allograft rejection with a model combining relative fraction and absolute copies of donor-derived cell-free DNA - results from five independent cohorts 94%
- Deceased donor kidney degradomics indicates cytoskeletal proteolytic alterations impacting post-transplant function 93%
Similar papers in this journal
- Transcriptomic profiling during normothermic machine perfusion of human kidneys reveals a pro-inflammatory cellular landscape and gene expression signature associated with prolonged delayed graft function after transplantation 97%
- Dampened inflammatory signalling and myeloid-derived suppressor-like cell accumulation reduces circulating monocytic HLA-DR density and associates with malignancy risk in long-term renal transplant recipients 95%
- Perturbations of the T-cell immune repertoire in kidney transplant rejection 94%
Similar papers in this journal
Similar papers in this journal
- Recipient APOL1 risk alleles associate with death-censored renal allograft survival and rejection episodes 95%
- Single cell transcriptomic analysis of renal allograft rejection reveals novel insights into intragraft TCR clonality 94%
- Blood immunophenotyping identifies distinct kidney histopathology and outcomes in patients with lupus nephritis 93%
Similar papers in this journal
- A subset of pro-inflammatory CXCL10+ LILRB2+ macrophages derives from recipient monocytes and drives renal allograft rejection 95%
- Distinct stress-dependent signatures of cellular and extracellular tRNA-derived small RNAs (tDRs) 90%
- Engineered small extracellular vesicles as a FGL1/PD-L1 dual-targeting delivery system for alleviating immune rejection 90%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.