Extracellular Vesicles in Lung Donor Plasma: Potential Indicators of Donor Organ Quality.

IF 4.9 1区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS
SeoJeong Joo, Kishor Dhaygude, Rainer Krebs, Emil Holmström, Maija Puhka, Saara Laitinen, Göran Dellgren, Jesper Magnusson, Erik C Holmberg, Johan Svahn, Thomas Kromann Lund, Inga Leuckfeld, Peter Raivio, Ilkka Helanterä, Fredrik Åberg, Simo O Syrjälä, Antti I Nykänen, Karl B Lemström
{"title":"Extracellular Vesicles in Lung Donor Plasma: Potential Indicators of Donor Organ Quality.","authors":"SeoJeong Joo, Kishor Dhaygude, Rainer Krebs, Emil Holmström, Maija Puhka, Saara Laitinen, Göran Dellgren, Jesper Magnusson, Erik C Holmberg, Johan Svahn, Thomas Kromann Lund, Inga Leuckfeld, Peter Raivio, Ilkka Helanterä, Fredrik Åberg, Simo O Syrjälä, Antti I Nykänen, Karl B Lemström","doi":"10.1016/j.jtcvs.2025.03.012","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>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.</p><p><strong>Methods: </strong>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 qPCR using the study cohort and an independent cohort. VIP-score analysis and regression models were used to identify EV transcripts associated with PGD in recipients.</p><p><strong>Results: </strong>Transcriptomic analysis revealed that 13% of protein-coding genes were differentially expressed in lung donor EVs compared to controls, with 92% of these genes upregulated. Upregulated genes were enriched in pathways related to inflammation, coagulation, tissue remodelling, 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 post-transplant lung injury.</p><p><strong>Conclusion: </strong>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.</p>","PeriodicalId":49975,"journal":{"name":"Journal of Thoracic and Cardiovascular Surgery","volume":" ","pages":""},"PeriodicalIF":4.9000,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Thoracic and Cardiovascular Surgery","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.jtcvs.2025.03.012","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CARDIAC & CARDIOVASCULAR SYSTEMS","Score":null,"Total":0}
引用次数: 0

Abstract

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 qPCR using the study cohort and an independent cohort. VIP-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 to controls, with 92% of these genes upregulated. Upregulated genes were enriched in pathways related to inflammation, coagulation, tissue remodelling, 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 post-transplant lung injury.

Conclusion: 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.

求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
11.20
自引率
10.00%
发文量
1079
审稿时长
68 days
期刊介绍: The Journal of Thoracic and Cardiovascular Surgery presents original, peer-reviewed articles on diseases of the heart, great vessels, lungs and thorax with emphasis on surgical interventions. An official publication of The American Association for Thoracic Surgery and The Western Thoracic Surgical Association, the Journal focuses on techniques and developments in acquired cardiac surgery, congenital cardiac repair, thoracic procedures, heart and lung transplantation, mechanical circulatory support and other procedures.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信