Bibliographic Details
Title: |
Evaluation of a Decentralized Donor-Derived Cell-Free DNA Assay for Kidney Allograft Rejection Monitoring |
Authors: |
Alexandre Loupy, Anaïs Certain, Narin S. Tangprasertchai, Maud Racapé, Cindy Ursule-Dufait, Kawthar Benbadi, Marc Raynaud, Evgeniya Vaskova, Corina Marchis, Sílvia Casas, Tim Hague, Oriol Bestard, Delphine Kervella, Carmen Lefaucheur, Thierry Viard, Olivier Aubert |
Source: |
Transplant International, Vol 37 (2024) |
Publisher Information: |
Frontiers Media S.A., 2024. |
Publication Year: |
2024 |
Collection: |
LCC:Specialties of internal medicine |
Subject Terms: |
AlloSeq, dd-cfDNA, liquid biopsy, allograft rejection, non-invasive diagnosis, Specialties of internal medicine, RC581-951 |
More Details: |
Donor-derived cell-free DNA (dd-cfDNA) is an emerging non-invasive biomarker for allograft injury detection. This study aimed to evaluate a new, decentralized dd-cfDNA testing kit against a centralized dd-cfDNA testing service broadly utilized in the United States. Kidney transplant recipients with decentralized and centralized dd-cfDNA measurements and concomitant kidney allograft biopsies were included in the study. 580 kidney allograft recipients from 3 referral centers were included for 603 total evaluations. Correlation between assays was evaluated using r-squared (r2) and Spearman’s rank correlation test, and associations with rejection using logistic regression analyses and discrimination using area under the curve. Mean dd-cfDNA levels from decentralized and centralized tests were 0.51% ± 0.81% and 0.43% ± 0.78%, respectively. The assays were highly correlated, with r2 = 0.95 and Spearman’s rank correlation 0.88 (p < 0.0001). Both tests showed significant association with allograft rejection (p < 0.0001) and good and similar discriminations to predict rejection (AUC: 0.758 for the decentralized and AUC: 0.760 for the centralized dd-cfDNA; p = 0.8466). Consistency between the assays was also confirmed across clinical scenarios including post-transplant timepoint, allograft stability, and allograft rejection subcategories. This decentralized dd-cfDNA assessment demonstrates high accuracy and value to non-invasively monitor kidney recipients. |
Document Type: |
article |
File Description: |
electronic resource |
Language: |
English |
ISSN: |
1432-2277 |
Relation: |
https://www.frontierspartnerships.org/articles/10.3389/ti.2024.13919/full; https://doaj.org/toc/1432-2277 |
DOI: |
10.3389/ti.2024.13919 |
Access URL: |
https://doaj.org/article/4b63188cb64c4e4d9b05e9d5b57be308 |
Accession Number: |
edsdoj.4b63188cb64c4e4d9b05e9d5b57be308 |
Database: |
Directory of Open Access Journals |