Literature DB >> 34184326

Association between dd-cfDNA levels, de novo donor specific antibodies, and eGFR decline: An analysis of the DART cohort.

Deirdre L Sawinski1,2, Shikha Mehta3, Tarek Alhamad4, Jonathan S Bromberg5, Bernard Fischbach6, Thomas Aeschbacher7, Srinka Ghosh7, Grigoriy Shekhtman7, Sham Dholakia7, Daniel C Brennan8, Emilio Poggio9, Roy D Bloom1,2, Stanley C Jordan10,11.   

Abstract

BACKGROUND: Donor-derived cell-free DNA (dd-cfDNA) is a marker of allograft injury in transplant recipients; however, the relationship between dd-cfDNA and other clinical parameters associated with adverse allograft outcomes is not well-characterized.
METHODS: We performed a retrospective analysis of kidney transplant recipients from the DART cohort (ClinicalTrials.gov Identifier: NCT02424227) to evaluate the associations between eGFR decline, de novo donor-specific antibodies (dnDSA), and dd-cfDNA.
RESULTS: Both elevated dd-cfDNA (≥1%) and dd-cfDNA variability (≥.34%) in the first post-transplant year were associated with decline in eGFR ≥25% in the second year (21.4% vs. 4.1%, P = .005; 25% vs. 3.6%, P = .002, respectively). Compared to samples from DSA negative patients, samples from patients with concurrent de novo HLA DSAs had higher dd-cfDNA levels (P < .0001). DISCUSSION: Abnormalities in dd-cfDNA levels are associated with clinical parameters commonly used as surrogate endpoints for adverse allograft outcomes, raising the possibility that molecular injury as characterized by dd-cfDNA could help identify patients at risk of these outcomes.
© 2021 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  alloantibody; biomarker; graft survival; kidney (allograft) function/dysfunction; monitoring: immune

Year:  2021        PMID: 34184326     DOI: 10.1111/ctr.14402

Source DB:  PubMed          Journal:  Clin Transplant        ISSN: 0902-0063            Impact factor:   2.863


  2 in total

Review 1.  Donor Derived Cell Free DNA in Kidney Transplantation: The Circa 2020-2021 Update.

Authors:  Sam Kant; Daniel C Brennan
Journal:  Transpl Int       Date:  2022-06-01       Impact factor: 3.842

2.  Variability in Donor-Derived Cell-Free DNA Scores to Predict Mortality in Heart Transplant Recipients - A Proof-of-Concept Study.

Authors:  Megan Kamath; Grigoriy Shekhtman; Tristan Grogan; Michelle J Hickey; Irina Silacheva; Karishma S Shah; Kishan S Shah; Adrian Hairapetian; Diego Gonzalez; Giovanny Godoy; Elaine F Reed; David Elashoff; Galyna Bondar; Mario C Deng
Journal:  Front Immunol       Date:  2022-02-18       Impact factor: 8.786

  2 in total

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