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pmid: 31318908
pmc: PMC6638921
handle: 2445/139039 , 10261/201095 , 20.500.12530/64810 , 20.500.12105/8705 , 11351/4564 , 10902/18965 , 10668/14252
pmid: 31318908
pmc: PMC6638921
handle: 2445/139039 , 10261/201095 , 20.500.12530/64810 , 20.500.12105/8705 , 11351/4564 , 10902/18965 , 10668/14252
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 <20% of the sequenced population, being located in the UL97 gene and conferring high-level resistance to ganciclovir. The presence of DRM by NGS was associated with lung transplantation (p = 0.050), the administration of prophylaxis (p = 0.039), a higher mean time between transplantation and suspicion of resistance (p = 0.038) and longer antiviral treatment duration before suspicion (p = 0.024). However, the latter was the only factor independently associated with the presence of DRM by NGS in the multivariate analysis (OR 2.24, 95% CI 1.03 to 4.87).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.
Male, Trasplantació d'òrgans, teixits, etc, Genes, Viral, Science, PHENOMENA AND PROCESSES::Physiological Phenomena::Pharmacological and Toxicological Phenomena::Pharmacological Phenomena::Drug Resistance::Drug Resistance, Microbial::Drug Resistance, Viral, Trasplantament hepàtic, Cytomegalovirus, ANATOMÍA::regiones corporales::trasplantes, Cytomegaloviruses, Drug Resistance, Viral, Humans, ANATOMY::Body Regions::Transplants, FENÓMENOS Y PROCESOS::fenómenos microbiológicos::farmacorresistencia microbiana::farmacorresistencia viral, Resistència als medicaments, ANALYTICAL, DIAGNOSTIC AND THERAPEUTIC TECHNIQUES, AND EQUIPMENT::Investigative Techniques::Genetic Techniques::Sequence Analysis::Sequence Analysis, DNA, Q, R, High-Throughput Nucleotide Sequencing, Middle Aged, Transplant Recipients, Mutation, Citomegalovirus, Medicine, TÉCNICAS Y EQUIPOS ANALÍTICOS, DIAGNÓSTICOS Y TERAPÉUTICOS::técnicas de investigación::técnicas genéticas::análisis de secuencias::análisis de secuencias de ADN, Female, ADN - Anàlisi, Hepatic transplantation, Research Article
Male, Trasplantació d'òrgans, teixits, etc, Genes, Viral, Science, PHENOMENA AND PROCESSES::Physiological Phenomena::Pharmacological and Toxicological Phenomena::Pharmacological Phenomena::Drug Resistance::Drug Resistance, Microbial::Drug Resistance, Viral, Trasplantament hepàtic, Cytomegalovirus, ANATOMÍA::regiones corporales::trasplantes, Cytomegaloviruses, Drug Resistance, Viral, Humans, ANATOMY::Body Regions::Transplants, FENÓMENOS Y PROCESOS::fenómenos microbiológicos::farmacorresistencia microbiana::farmacorresistencia viral, Resistència als medicaments, ANALYTICAL, DIAGNOSTIC AND THERAPEUTIC TECHNIQUES, AND EQUIPMENT::Investigative Techniques::Genetic Techniques::Sequence Analysis::Sequence Analysis, DNA, Q, R, High-Throughput Nucleotide Sequencing, Middle Aged, Transplant Recipients, Mutation, Citomegalovirus, Medicine, TÉCNICAS Y EQUIPOS ANALÍTICOS, DIAGNÓSTICOS Y TERAPÉUTICOS::técnicas de investigación::técnicas genéticas::análisis de secuencias::análisis de secuencias de ADN, Female, ADN - Anàlisi, Hepatic transplantation, Research Article
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 27 | |
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| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
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