Publication: Improvement in detecting cytomegalovirus drug resistance mutations in solid organ transplant recipients with suspected resistance using next generation sequencing.
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Identifiers
Date
2019-05-07
Authors
Lopez-Aladid, Ruben
Guiu, Alba
Mosquera, Maria Mar
Lopez-Medrano, Francisco
Cofan, Frederic
Linares, Laura
Torre-Cisneros, Julian
Vidal, Elisa
Moreno, Asuncion
Aguado, Jose Maria
Advisors
Journal Title
Journal ISSN
Volume Title
Publisher
Public Library of Science
Abstract
The aim of this study was to identify CMV drug resistance mutations (DRM) in solid organ transplant (SOT) recipients with suspected resistance comparing next-generation sequencing (NGS) with Sanger sequencing and assessing risk factors and the clinical impact of resistance. Using Sanger sequencing as the reference method, we prospectively assessed the ability of NGS to detect CMV DRM in the UL97 and UL54 genes in a nationwide observational study from September 2013 to August 2016. Among 44 patients recruited, 14 DRM were detected by Sanger in 12 patients (27%) and 20 DRM were detected by NGS, in 16 (36%). NGS confirmed all the DRM detected by Sanger. The additional six mutations detected by NGS were present in NGS showed a higher yield than Sanger sequencing for detecting CMV resistance mutations in SOT recipients. The presence of DRM detected by NGS was independently associated with longer antiviral treatment.
Description
MeSH Terms
High-Throughput Nucleotide Sequencing
Humans
Male
Middle Aged
Mutation
Transplant Recipients
Humans
Male
Middle Aged
Mutation
Transplant Recipients
DeCS Terms
Mutación
Secuenciación de nucleótidos de alto rendimiento
Receptores de trasplantes
Secuenciación de nucleótidos de alto rendimiento
Receptores de trasplantes
CIE Terms
Keywords
Cytomegalovirus, Drug Resistance, Viral, Female, Genes, Viral, Farmacorresistencia viral
Citation
López-Aladid R, Guiu A, Mosquera MM, López-Medrano F, Cofán F, Linares L, et al. Improvement in detecting cytomegalovirus drug resistance mutations in solid organ transplant recipients with suspected resistance using next generation sequencing. PLoS One. 2019 Jul 18;14(7):e0219701