Next-generation sequencing methods to detect donor-derived cell-free DNA after transplantation.


Journal

Transplantation reviews (Orlando, Fla.)
ISSN: 1557-9816
Titre abrégé: Transplant Rev (Orlando)
Pays: United States
ID NLM: 8804364

Informations de publication

Date de publication:
07 2020
Historique:
received: 26 11 2019
revised: 18 02 2020
accepted: 24 02 2020
pubmed: 9 4 2020
medline: 14 4 2021
entrez: 9 4 2020
Statut: ppublish

Résumé

Following the initial technical challenge of implanting an organ, maintaining the organ against a vast array of pathologies for years to come, remains a colossal challenge for all clinicians working in transplantation. Drug toxicity, opportunistic infection, primary disease recurrence, and the constant battle against organ rejection are all differentials that are considered when graft dysfunction is observed, promoting a lifetime of laborious surveillance. Cell free DNA (cfDNA) since its discovery in 1948 has made an impactful change in transplantation. A growing body of evidence in transplantation (109 manuscripts from 55 studies) shows the promise of this tool as an early and accurate detection of allograft injury rejection as well the benefit to rule out injury as part of screening and routine monitoring. With next generation sequencing rapidly becoming the standard of care in quantifying DNA, understanding this science in the context of transplantation is critical to ensure studies, outcomes and care is improved.

Identifiants

pubmed: 32265093
pii: S0955-470X(20)30015-X
doi: 10.1016/j.trre.2020.100542
pii:
doi:

Substances chimiques

Biomarkers 0
Cell-Free Nucleic Acids 0
Isoantigens 0

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

100542

Informations de copyright

Copyright © 2020 The Author. Published by Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest All authors declare no conflict of interest or competing disclosures.

Auteurs

Fungai Dengu (F)

Nuffield Department of Surgical Sciences, University of Oxford, United Kingdom. Electronic address: fungai.dengu@ouh.nhs.uk.

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Classifications MeSH