TY - JOUR
T1 - Extracellular vesicles in lung donor plasma
T2 - Potential indicators of donor organ quality
AU - Joo, SeoJeong
AU - Dhaygude, Kishor
AU - Krebs, Rainer
AU - Holmström, Emil
AU - Puhka, Maija
AU - Laitinen, Saara
AU - Dellgren, Göran
AU - Magnusson, Jesper
AU - Holmberg, Erik C.
AU - Svahn, Johan
AU - Lund, Thomas Kromann
AU - Leuckfeld, Inga
AU - Raivio, Peter
AU - Helanterä, Ilkka
AU - Åberg, Fredrik
AU - Syrjälä, Simo O.
AU - Nykänen, Antti I.
AU - Lemström, Karl B.
N1 - Publisher Copyright:
© 2025 The Authors
PY - 2025
Y1 - 2025
N2 - Objective: Brain death induces systemic inflammation and hemodynamic changes that can lead to lung injury, impacting the quality of donor organs for transplantation. Extracellular vesicles (EVs) are cell-derived nanoparticles that carry functional biomolecules and reflect the physiological state of their cells of origin. We hypothesized that EVs from brain-dead donors may indicate lung injury and may be used to predict primary graft dysfunction (PGD) in lung transplant recipients. Methods: We performed transcriptomic profiling of plasma EVs from 44 brain-dead lung donors and 9 healthy controls using next-generation sequencing. Differential gene expression was assessed, followed by pathway enrichment analyses. The results were validated by quantitative polymerase chain reaction using the study cohort and an independent cohort. Variable importance of projection score analysis and regression models were used to identify EV transcripts associated with PGD in recipients. Results: Transcriptomic analysis revealed that 13% of protein-coding genes were differentially expressed in lung donor EVs compared with controls, with 92% of these genes upregulated. Upregulated genes were enriched in pathways related to inflammation, coagulation, tissue remodeling, and metabolism. Seven key EV transcripts, RAD51D, ABL2, FGFR1, WDR82, PTBP3, OPRL1, and XG were identified as potential PGD indicator. These transcripts were associated with processes such as DNA damage repair, signal transduction, and inflammation, which may contribute to posttransplant lung injury. Conclusions: Donor plasma EVs carry distinct transcriptomic signatures associated with injury and inflammation. Specific EV transcripts, such as RAD51D and XG, hold promise as independent predictive biomarkers for PGD, possibly providing new tools for evaluating donor organ quality and improving lung transplant outcomes.
AB - Objective: Brain death induces systemic inflammation and hemodynamic changes that can lead to lung injury, impacting the quality of donor organs for transplantation. Extracellular vesicles (EVs) are cell-derived nanoparticles that carry functional biomolecules and reflect the physiological state of their cells of origin. We hypothesized that EVs from brain-dead donors may indicate lung injury and may be used to predict primary graft dysfunction (PGD) in lung transplant recipients. Methods: We performed transcriptomic profiling of plasma EVs from 44 brain-dead lung donors and 9 healthy controls using next-generation sequencing. Differential gene expression was assessed, followed by pathway enrichment analyses. The results were validated by quantitative polymerase chain reaction using the study cohort and an independent cohort. Variable importance of projection score analysis and regression models were used to identify EV transcripts associated with PGD in recipients. Results: Transcriptomic analysis revealed that 13% of protein-coding genes were differentially expressed in lung donor EVs compared with controls, with 92% of these genes upregulated. Upregulated genes were enriched in pathways related to inflammation, coagulation, tissue remodeling, and metabolism. Seven key EV transcripts, RAD51D, ABL2, FGFR1, WDR82, PTBP3, OPRL1, and XG were identified as potential PGD indicator. These transcripts were associated with processes such as DNA damage repair, signal transduction, and inflammation, which may contribute to posttransplant lung injury. Conclusions: Donor plasma EVs carry distinct transcriptomic signatures associated with injury and inflammation. Specific EV transcripts, such as RAD51D and XG, hold promise as independent predictive biomarkers for PGD, possibly providing new tools for evaluating donor organ quality and improving lung transplant outcomes.
KW - brain-dead donor
KW - extracellular vesicle
KW - lung transplantation
KW - primary graft dysfunction
KW - 3121 General medicine, internal medicine and other clinical medicine
U2 - 10.1016/j.jtcvs.2025.03.012
DO - 10.1016/j.jtcvs.2025.03.012
M3 - Article
C2 - 40118141
AN - SCOPUS:105002242804
SN - 0022-5223
JO - Journal of Thoracic and Cardiovascular Surgery
JF - Journal of Thoracic and Cardiovascular Surgery
ER -