Development of a Flexible Multiplex Urine RNA Assay for Detection and Differentiation of Kidney Allograft Injury
Keslar, K. S.; Xu, W.; Zmijewska, A. A.; Margeta, D.; Bromberg, J. S.; Friedewald, J. J.; Abecassis, M. M.; Newell, K. A.; Morrison, Y.; Bridges, N. D.; Heeger, P. S.; Fairchild, R. L.
Show abstract
Non-invasive approaches to detect kidney graft injury and distinguish donor-specific immune-mediated injury from other causes of inflammation are needed to guide recipient therapy while avoiding the morbidities of transplant biopsies. We used a multi-plex platform to interrogate RNA isolated from kidney transplant recipient urine to investigate gene expression patterns distinguishing grafts with no injury vs. ongoing injury and further differentiate acute T cell-mediated rejection (TCMR) from BK virus nephropathy (BKVN). As a training set we quantified expression of 796 immune function genes from 25 control recipients with stable graft function, 17 with biopsy-proven acute TCMR, and 13 with biopsy-proven BKVN. We identified a 20-gene signature that differentiated intragraft injury from grafts with stable function (area under the curve (AUC), 0.991) and a distinct 40-gene signature distinguishing acute TCMR from BKVN (AUC = 1.00). Validation in separate 118 urine RNA samples obtained at time of surveillance or for-cause biopsies from Clinical Trials in Organ Transplantation (CTOT)-08 and CTOT-19 studies showed AUC of 0.77 for the 20-gene injury signature and AUC of 0.79 for the 40-gene signature. Our results highlight the utility of this flexible, non-invasive biomarker platform for rapid detection and differentiation of immune processes causing ongoing kidney graft injury.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- 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 96%
- Machine learning-supported interpretation of kidney graft elementary lesions in combination with clinical data 95%
- A comparative analysis of acellular versus red cell based subnormothermic machine perfusion in human kidney transplantation 94%
Similar papers in this journal
Similar papers in this journal
- Detection of infiltrating fibroblasts by single-cell transcriptomics in human kidney allografts 95%
- Evidences of histologic Thrombotic Microangiopathy and the impact in renal outcomes of patients with IgA nephropathy 94%
- Reconstruction of the urinary tract at the appropriate time reduces fibrosis of the metanephros in rats as judged by imaging 93%
Similar papers in this journal
- Packed Red Blood Cell and Whole Blood Perfusates during an Ex-vivo Normothermic Perfusion for Assessment of High-Risk Donor Kidneys 95%
- Nephron Number and Kidney Outcomes in IgA Nephropathy: A Retrospective Cohort Study 94%
- Donor race has no role in predicting allograft and patient survival among kidney transplant recipients 94%
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 96%
- Perturbations of the T-cell immune repertoire in kidney transplant rejection 96%
- 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 92%
"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.