Background: Cell-free DNA (cfDNA) in ex vivo lung perfusion (EVLP) perfusate has been shown to potentially reflect lung injury; however, the relationship between cfDNA concentration with clinical EVLP lung outcomes has not been elucidated.
Methods: A discovery cohort of n=100 clinical EVLP cases and a validation cohort (n=50) were used in this single-center, retrospective cohort study. cfDNA was extracted and quantified from perfusate samples. The concentration of cfDNA at 1h and the change in cfDNA concentration per hour of EVLP in the transplanted and declined groups were compared by univariable and multivariable logistic regression. cfDNA was introduced as an additional factor in a machine learning algorithm to predict lung utilization and post-operative outcome and the performance evaluated.
Results: Significantly higher cfDNA concentrations were observed in the declined group than in the transplanted group (1h: p < 0.001; delta/h: p = 0.031). Multivariable analysis among the 1h factors showed that [cfDNA 1h] (OR 4.27, p = 0.010) was an independent prognostic factor. Increases in [cfDNA 1h], [cfDNA delta/h], and both showed that both initial [cfDNA] and increases in [cfDNA] over time were independently correlated with the probability of a lung being declined. The validation analysis also confirmed higher [cfDNA 1h] in the declined group than in the transplanted group (p = 0.010). Addition of [cfDNA] features improved the performance of a machine learning algorithm used to predict donor lung utilization.
Conclusion: The cfDNA concentration in EVLP perfusate correlates with the rate of decline of lungs for transplant from EVLP.
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http://dx.doi.org/10.1016/j.healun.2025.02.1693 | DOI Listing |
J Heart Lung Transplant
March 2025
Toronto Lung Transplant Program and Latner Thoracic Research Laboratories, Toronto General Hospital Research Institute, University Health Network, Toronto, Ontario, Canada. Electronic address:
Background: Cell-free DNA (cfDNA) in ex vivo lung perfusion (EVLP) perfusate has been shown to potentially reflect lung injury; however, the relationship between cfDNA concentration with clinical EVLP lung outcomes has not been elucidated.
Methods: A discovery cohort of n=100 clinical EVLP cases and a validation cohort (n=50) were used in this single-center, retrospective cohort study. cfDNA was extracted and quantified from perfusate samples.
Exp Physiol
March 2025
Department of Sports Medicine, Disease Prevention and Rehabilitation, Johannes Gutenberg University Mainz, Mainz, Germany.
Circulating cell-free DNA (cfDNA) is a promising biomarker for physiological stress, including exercise-induced responses. However, the lack of standardization in blood collection tubes (BCTs) for quantification of cfDNA hampers inter-study comparisons. In this study, we assessed the impact of different BCTs on exercise-induced cfDNA dynamics.
View Article and Find Full Text PDFJ Liq Biopsy
September 2024
Instituto Estadual do Cérebro Paulo Niemeyer (IECPN), R. do Rezende, 156 - Centro, Rio de Janeiro, 20231-092, Brazil.
The liquid biopsy era has brought several possibilities to improve precision in patient care. Among the different sources of analytes, the cfDNA has been explored as a possible disease indicator, especially in cancer. Intracranial tumors still represent a challenge for liquid biopsy due to the blood-brain barrier being able to restrain both the migrating tumor cells and the liberation of cfDNA into the blood circulation.
View Article and Find Full Text PDFJCO Clin Cancer Inform
March 2025
Computational Pharmacology and Clinical Oncology Department, Centre Inria d'Université Côte d'Azur, Cancer Research Centre of Marseille, Paoli Calmettes Institute, Inserm UMR1068, CNRS UMR7258, Aix Marseille University UM105, Marseille, France.
Purpose: Liquid biopsy, specifically circulating cell-free DNA (cfDNA), has emerged as a powerful tool for cancer early diagnosis, prognosis, and treatment monitoring over a wide range of cancer types. Computational modeling (CM) of cfDNA data is essential to harness its full potential for real-time, noninvasive insights into tumor biology, enhancing clinical decision making.
Design: This work reviews CM-cfDNA methods applied to clinical oncology, emphasizing both machine learning (ML) techniques and mechanistic approaches.
J Nanobiotechnology
February 2025
Department of Anesthesiology, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong, 510635, China.
Intestinal ischemia/reperfusion (I/R) injury is a common life-threatening condition. Inflammatory dysregulation plays a crucial role in the pathological progression of intestinal I/R injury, indicating that controlling excessive inflammatory responses can be an effective strategy for mitigating I/R injury. Herein, after establishing a correlation between cell-free DNA (cfDNA) levels and postoperative inflammatory factors in samples from patients with intestinal I/R, we tested a cfDNA-scavenging approach for the treatment of intestinal I/R injury.
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