This is a multinational, multi-center, observational cohort study. Kidney allograft rejection is poorly detected by standard-of-care biomarkers. Although dd-cfDNA has been associated with improved rejection detection when added to standard-of-care biomarkers and clinical parameters, little is known about its performance across Banff 2022 rejection phenotypes and injury patterns, in various clinical scenarios and populations, and when measured repeatedly over time.
Allograft rejection remains a leading cause of kidney transplant failure, and standard-of-care monitoring detects it late. Recently, combining dd-cfDNA with functional, immunological and clinical parameters has been shown to improve rejection detection under the Banff 2019 framework. However, the Banff 2022 revision formally recognized microvascular inflammation without DSA or C4d (MVI, DSA-negative, C4d-negative) and probable antibody-mediated rejection as distinct rejection phenotypes, raising the question of whether dd-cfDNA can help detecting these phenotypes. Its performance also remains unclear across the broader spectrum of Banff rejection phenotypes and injury patterns, when the complete diagnostic workup is unavailable, in the early post-transplant period, in specific populations, and when measured repeatedly over time. The investigators therefore aim to evaluate the association between dd-cfDNA and Banff rejection phenotypes and its added diagnostic value to detect them, across the clinical situations in which the biomarker is used. The study has three objectives: * To assess the association between dd-cfDNA and Banff 2022 rejection phenotypes and injury patterns, including antibody-mediated, T cell-mediated and mixed rejection, borderline changes, probable antibody-mediated rejection and MVI, DSA-negative, C4d-negative, together with its relationship to the severity of the underlying lesions, with particular attention to microvascular inflammation. * To assess the diagnostic value of dd-cfDNA, alone and within the integrative dd-cfDNA model, for the detection of biopsy-proven rejection as defined by the Banff 2022 classification, and beyond standard-of-care monitoring. * To assess whether this performance is maintained across clinical scenarios and populations, including incomplete diagnostic workup, the first month post-transplant, delayed graft function, and specific subpopulations. Secondarily, the investigators aim to assess whether serial dd-cfDNA improves the detection of rejection, and its prognostic value for death-censored allograft failure.
Study Type
OBSERVATIONAL
Enrollment
5,000
Cell-free DNA (cfDNA) is fragmented extracellular DNA released in the bloodstream from cells undergoing apoptosis or necrosis. In transplantation, donor-derived cfDNA (dd-cfDNA) is detected in the blood of kidney recipients and has been proposed as a noninvasive biomarker to detect rejection.
Department of Medicine, Division of Nephrology, Comprehensive Transplant Center, Cedars-Sinai Medical Center, Los Angeles, CA, USA
Los Angeles, California, United States
Department of Pediatrics, Comprehensive Transplant Center, Cedars-Sinai Medical Center, Los Angeles, California, USA.
Los Angeles, California, United States
Division of Nephrology, Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
Los Angeles, California, United States
Department of Nephrology, Tampa General Hospital, Tampa, FL, USA
Tampa, Florida, United States
Division of Pediatric Nephrology, Emory University School of Medicine, Atlanta, GA, USA
Atlanta, Georgia, United States
Allograft active injury
Antibody-mediated rejection (active or chronic active) T cell-mediated rejection (active or chronic active) Mixed rejection Microvascular Inflammation, DSA-negative, C4d-negative Probable AMR
Time frame: Periprocedural (At time of biopsy)
Allograft loss
Return to dialysis or re-transplantation
Time frame: Rate of participants reaching graft loss between transplantation and last follow up (up to 10 years post-transplant)
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Division of Nephrology, Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA
St Louis, Missouri, United States
Division of Pediatric Nephrology, Washington University School of Medicine and St. Louis Children's Hospital, St. Louis, MO, USA
St Louis, Missouri, United States
Division of Nephrology, Weill Cornell Medical College, NewYork-Presbyterian Hospital, New York, NY, USA
New York, New York, United States
Cleveland Clinic, 2050 East 96th Street, Cleveland, OH
Cleveland, Ohio, United States
Department of Medicine, Division of Nephrology, University of Texas Southwestern Medical Center, Dallas, Texas, USA
Dallas, Texas, United States
...and 15 more locations