RT Journal Article
SR Electronic
A1 Zajacova, Andrea
A1 Alkhouri, Majd
A1 Guney, Miray
A1 Ferrao, Goncalo
A1 Rezac, David
A1 Vyskocilova, Kristyna
A1 Kotowski, Tereza
A1 Dutkova, Alzbeta
A1 Dvorackova, Eliska
A1 Lischke, Robert
A1 Fila, Libor
A1 Havlin, Jan
T1 Exploring acute cellular rejection in lung transplantation:  insights from donor-derived cell-free DNA analysis
JF Biomedical papers
YR 2025
DO 10.5507/bp.2025.016
UL https://biomed.papers.upol.cz/artkey/bio-000000-3923.php
AB Background. Acute cellular rejection (ACR) is a frequent complication following lung transplantation, yet standardized guidelines for ACR screening remain lacking. This study aimed to compare the current gold standard for ACR evaluation - histological assessment of transbronchial biopsies - with a novel biomarker for allograft monitoring: donor-derived cell-free DNA (dd-cfDNA). Specifically, we investigated whether total cell-free DNA (cfDNA) and both the absolute and percentage values of dd-cfDNA (dd-cfDNA and dd-cfDNA%) could provide valuable insights into detecting ACR and assessing allograft health.
Methods. Patients after bilateral lung transplantation between May 2021 and March 2024 were included. Clinically significant ACR cases (ACR+) were defined as samples with histological ACR grade ≥A2 or ACR grade A1 in patients who have received antirejection therapy due to symptoms, CT findings, or lung function decline. Samples with A0 or A1 rejection in clinically stable, untreated patients were classified as controls. Measurements of dd-cfDNA%, dd-cfDNA (cp/mL) and total cfDNA (cp/mL) were obtained at the time of biopsy and compared between cohorts.
Results. The median dd-cfDNA concentration was significantly higher in the ACR+ group (61.2 cp/mL, IQR: 38.7-114.1) compared to controls (25.8 cp/mL, IQR: 10.7-65.7; P=0.04). However, no significant differences were observed for dd-cfDNA% and cfDNA.
Conclusion. Dd-cfDNA shows promise as a valuable tool for ruling out ACR; however, further research is necessary in order to validate its clinical utility and optimize its implementation. Its negative predictive value supports dd-cfDNA as an effective screening tool for allograft health, nevertheless, further investigation is required.