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New Clue: Prediction from Cell-Free DNA

The main challenge for a positive long-term outcome in lung transplantation is the lack of early detection for chronic lung allograft dysfunction (CLAD). With advancements in technology, an increasing number of studies demonstrate that cell-free DNA (cfDNA) in body fluids could be used as a marker f...

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Detalles Bibliográficos
Autor principal: Sanders, Yan Y.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7408910/
https://www.ncbi.nlm.nih.gov/pubmed/32708076
http://dx.doi.org/10.3390/jcm9072307
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author Sanders, Yan Y.
author_facet Sanders, Yan Y.
author_sort Sanders, Yan Y.
collection PubMed
description The main challenge for a positive long-term outcome in lung transplantation is the lack of early detection for chronic lung allograft dysfunction (CLAD). With advancements in technology, an increasing number of studies demonstrate that cell-free DNA (cfDNA) in body fluids could be used as a marker for disease diagnosis, prognosis or monitoring response to treatment. A previous report from this journal found the joint assessment of cfDNA and CXCL10 from brochoalveolar lavage (BAL) could determine the subphenotypes of CLAD and predict lung transplant survival. This is an exciting attempt in monitoring the progress for lung transplant recipients. More studies and better understanding of cfDNA are needed to develop an accessible and reliable biomarker to monitor the progress of CLAD to improve the long-term survival for lung transplant recipients.
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spelling pubmed-74089102020-08-13 New Clue: Prediction from Cell-Free DNA Sanders, Yan Y. J Clin Med Editorial The main challenge for a positive long-term outcome in lung transplantation is the lack of early detection for chronic lung allograft dysfunction (CLAD). With advancements in technology, an increasing number of studies demonstrate that cell-free DNA (cfDNA) in body fluids could be used as a marker for disease diagnosis, prognosis or monitoring response to treatment. A previous report from this journal found the joint assessment of cfDNA and CXCL10 from brochoalveolar lavage (BAL) could determine the subphenotypes of CLAD and predict lung transplant survival. This is an exciting attempt in monitoring the progress for lung transplant recipients. More studies and better understanding of cfDNA are needed to develop an accessible and reliable biomarker to monitor the progress of CLAD to improve the long-term survival for lung transplant recipients. MDPI 2020-07-21 /pmc/articles/PMC7408910/ /pubmed/32708076 http://dx.doi.org/10.3390/jcm9072307 Text en © 2020 by the author. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Editorial
Sanders, Yan Y.
New Clue: Prediction from Cell-Free DNA
title New Clue: Prediction from Cell-Free DNA
title_full New Clue: Prediction from Cell-Free DNA
title_fullStr New Clue: Prediction from Cell-Free DNA
title_full_unstemmed New Clue: Prediction from Cell-Free DNA
title_short New Clue: Prediction from Cell-Free DNA
title_sort new clue: prediction from cell-free dna
topic Editorial
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7408910/
https://www.ncbi.nlm.nih.gov/pubmed/32708076
http://dx.doi.org/10.3390/jcm9072307
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