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Donor-derived cell-free DNA predicts allograft failure and mortality after lung transplantation

BACKGROUND: Allograft failure is common in lung-transplant recipients and leads to poor outcomes including early death. No reliable clinical tools exist to identify patients at high risk for allograft failure. This study tested the use of donor-derived cell-free DNA (%ddcfDNA) as a sensitive marker...

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Autores principales: Agbor-Enoh, Sean, Wang, Yan, Tunc, Ilker, Jang, Moon Kyoo, Davis, Andrew, De Vlaminck, Iwijn, Luikart, Helen, Shah, Pali D., Timofte, Irina, Brown, Anne W., Marishta, Argit, Bhatti, Kenneth, Gorham, Sasha, Fideli, Ulgen, Wylie, Jennifer, Grimm, David, Goodwin, Natalie, Yang, Yanqin, Patel, Kapil, Zhu, Jun, Iacono, Aldo, Orens, Jonathan B., Nathan, Steven D., Marboe, Charles, Berry, Gerald J., Quake, Stephen R., Khush, Kiran, Valantine, Hannah A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6412014/
https://www.ncbi.nlm.nih.gov/pubmed/30692045
http://dx.doi.org/10.1016/j.ebiom.2018.12.029
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author Agbor-Enoh, Sean
Wang, Yan
Tunc, Ilker
Jang, Moon Kyoo
Davis, Andrew
De Vlaminck, Iwijn
Luikart, Helen
Shah, Pali D.
Timofte, Irina
Brown, Anne W.
Marishta, Argit
Bhatti, Kenneth
Gorham, Sasha
Fideli, Ulgen
Wylie, Jennifer
Grimm, David
Goodwin, Natalie
Yang, Yanqin
Patel, Kapil
Zhu, Jun
Iacono, Aldo
Orens, Jonathan B.
Nathan, Steven D.
Marboe, Charles
Berry, Gerald J.
Quake, Stephen R.
Khush, Kiran
Valantine, Hannah A.
author_facet Agbor-Enoh, Sean
Wang, Yan
Tunc, Ilker
Jang, Moon Kyoo
Davis, Andrew
De Vlaminck, Iwijn
Luikart, Helen
Shah, Pali D.
Timofte, Irina
Brown, Anne W.
Marishta, Argit
Bhatti, Kenneth
Gorham, Sasha
Fideli, Ulgen
Wylie, Jennifer
Grimm, David
Goodwin, Natalie
Yang, Yanqin
Patel, Kapil
Zhu, Jun
Iacono, Aldo
Orens, Jonathan B.
Nathan, Steven D.
Marboe, Charles
Berry, Gerald J.
Quake, Stephen R.
Khush, Kiran
Valantine, Hannah A.
author_sort Agbor-Enoh, Sean
collection PubMed
description BACKGROUND: Allograft failure is common in lung-transplant recipients and leads to poor outcomes including early death. No reliable clinical tools exist to identify patients at high risk for allograft failure. This study tested the use of donor-derived cell-free DNA (%ddcfDNA) as a sensitive marker of early graft injury to predict impending allograft failure. METHODS: This multicenter, prospective cohort study enrolled 106 subjects who underwent lung transplantation and monitored them after transplantation for the development of allograft failure (defined as severe chronic lung allograft dysfunction [CLAD], retransplantation, and/or death from respiratory failure). Plasma samples were collected serially in the first three months following transplantation and assayed for %ddcfDNA by shotgun sequencing. We computed the average levels of ddcfDNA over three months for each patient (avddDNA) and determined its relationship to allograft failure using Cox-regression analysis. FINDINGS: avddDNA was highly variable among subjects: median values were 3·6%, 1·6% and 0·7% for the upper, middle, and low tertiles, respectively (range 0·1%–9·9%). Compared to subjects in the low and middle tertiles, those with avddDNA in the upper tertile had a 6·6-fold higher risk of developing allograft failure (95% confidence interval 1·6–19·9, p = 0·007), lower peak FEV1 values, and more frequent %ddcfDNA elevations that were not clinically detectable. INTERPRETATION: Lung transplant patients with early unresolving allograft injury measured via %ddcfDNA are at risk of subsequent allograft injury, which is often clinically silent, and progresses to allograft failure. FUND: National Institutes of Health.
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spelling pubmed-64120142019-03-21 Donor-derived cell-free DNA predicts allograft failure and mortality after lung transplantation Agbor-Enoh, Sean Wang, Yan Tunc, Ilker Jang, Moon Kyoo Davis, Andrew De Vlaminck, Iwijn Luikart, Helen Shah, Pali D. Timofte, Irina Brown, Anne W. Marishta, Argit Bhatti, Kenneth Gorham, Sasha Fideli, Ulgen Wylie, Jennifer Grimm, David Goodwin, Natalie Yang, Yanqin Patel, Kapil Zhu, Jun Iacono, Aldo Orens, Jonathan B. Nathan, Steven D. Marboe, Charles Berry, Gerald J. Quake, Stephen R. Khush, Kiran Valantine, Hannah A. EBioMedicine Research paper BACKGROUND: Allograft failure is common in lung-transplant recipients and leads to poor outcomes including early death. No reliable clinical tools exist to identify patients at high risk for allograft failure. This study tested the use of donor-derived cell-free DNA (%ddcfDNA) as a sensitive marker of early graft injury to predict impending allograft failure. METHODS: This multicenter, prospective cohort study enrolled 106 subjects who underwent lung transplantation and monitored them after transplantation for the development of allograft failure (defined as severe chronic lung allograft dysfunction [CLAD], retransplantation, and/or death from respiratory failure). Plasma samples were collected serially in the first three months following transplantation and assayed for %ddcfDNA by shotgun sequencing. We computed the average levels of ddcfDNA over three months for each patient (avddDNA) and determined its relationship to allograft failure using Cox-regression analysis. FINDINGS: avddDNA was highly variable among subjects: median values were 3·6%, 1·6% and 0·7% for the upper, middle, and low tertiles, respectively (range 0·1%–9·9%). Compared to subjects in the low and middle tertiles, those with avddDNA in the upper tertile had a 6·6-fold higher risk of developing allograft failure (95% confidence interval 1·6–19·9, p = 0·007), lower peak FEV1 values, and more frequent %ddcfDNA elevations that were not clinically detectable. INTERPRETATION: Lung transplant patients with early unresolving allograft injury measured via %ddcfDNA are at risk of subsequent allograft injury, which is often clinically silent, and progresses to allograft failure. FUND: National Institutes of Health. Elsevier 2019-01-26 /pmc/articles/PMC6412014/ /pubmed/30692045 http://dx.doi.org/10.1016/j.ebiom.2018.12.029 Text en http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research paper
Agbor-Enoh, Sean
Wang, Yan
Tunc, Ilker
Jang, Moon Kyoo
Davis, Andrew
De Vlaminck, Iwijn
Luikart, Helen
Shah, Pali D.
Timofte, Irina
Brown, Anne W.
Marishta, Argit
Bhatti, Kenneth
Gorham, Sasha
Fideli, Ulgen
Wylie, Jennifer
Grimm, David
Goodwin, Natalie
Yang, Yanqin
Patel, Kapil
Zhu, Jun
Iacono, Aldo
Orens, Jonathan B.
Nathan, Steven D.
Marboe, Charles
Berry, Gerald J.
Quake, Stephen R.
Khush, Kiran
Valantine, Hannah A.
Donor-derived cell-free DNA predicts allograft failure and mortality after lung transplantation
title Donor-derived cell-free DNA predicts allograft failure and mortality after lung transplantation
title_full Donor-derived cell-free DNA predicts allograft failure and mortality after lung transplantation
title_fullStr Donor-derived cell-free DNA predicts allograft failure and mortality after lung transplantation
title_full_unstemmed Donor-derived cell-free DNA predicts allograft failure and mortality after lung transplantation
title_short Donor-derived cell-free DNA predicts allograft failure and mortality after lung transplantation
title_sort donor-derived cell-free dna predicts allograft failure and mortality after lung transplantation
topic Research paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6412014/
https://www.ncbi.nlm.nih.gov/pubmed/30692045
http://dx.doi.org/10.1016/j.ebiom.2018.12.029
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