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A Complete Genome Screening Program of Clinical Methicillin-Resistant Staphylococcus aureus Isolates Identifies the Origin and Progression of a Neonatal Intensive Care Unit Outbreak.
Sullivan, Mitchell J; Altman, Deena R; Chacko, Kieran I; Ciferri, Brianne; Webster, Elizabeth; Pak, Theodore R; Deikus, Gintaras; Lewis-Sandari, Martha; Khan, Zenab; Beckford, Colleen; Rendo, Angela; Samaroo, Flora; Sebra, Robert; Karam-Howlin, Ramona; Dingle, Tanis; Hamula, Camille; Bashir, Ali; Schadt, Eric; Patel, Gopi; Wallach, Frances; Kasarskis, Andrew; Gibbs, Kathleen; van Bakel, Harm.
Afiliación
  • Sullivan MJ; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York City, New York, USA.
  • Altman DR; Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York City, New York, USA.
  • Chacko KI; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York City, New York, USA.
  • Ciferri B; Department of Medicine, Division of Infectious Diseases, Icahn School of Medicine at Mount Sinai, New York City, New York, USA.
  • Webster E; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York City, New York, USA.
  • Pak TR; Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York City, New York, USA.
  • Deikus G; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York City, New York, USA.
  • Lewis-Sandari M; Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York City, New York, USA.
  • Khan Z; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York City, New York, USA.
  • Beckford C; Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York City, New York, USA.
  • Rendo A; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York City, New York, USA.
  • Samaroo F; Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York City, New York, USA.
  • Sebra R; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York City, New York, USA.
  • Karam-Howlin R; Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York City, New York, USA.
  • Dingle T; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York City, New York, USA.
  • Hamula C; Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York City, New York, USA.
  • Bashir A; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York City, New York, USA.
  • Schadt E; Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York City, New York, USA.
  • Patel G; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York City, New York, USA.
  • Wallach F; Icahn Institute for Data Science and Genomic Technology, Icahn School of Medicine at Mount Sinai, New York City, New York, USA.
  • Kasarskis A; Department of Pathology, Clinical Microbiology, Icahn School of Medicine at Mount Sinai, New York City, New York, USA.
  • Gibbs K; Department of Pathology, Clinical Microbiology, Icahn School of Medicine at Mount Sinai, New York City, New York, USA.
  • van Bakel H; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York City, New York, USA.
J Clin Microbiol ; 57(12)2019 12.
Article en En | MEDLINE | ID: mdl-31578260
Whole-genome sequencing (WGS) of Staphylococcus aureus is increasingly used as part of infection prevention practices. In this study, we established a long-read technology-based WGS screening program of all first-episode methicillin-resistant Staphylococcus aureus (MRSA) blood infections at a major urban hospital. A survey of 132 MRSA genomes assembled from long reads enabled detailed characterization of an outbreak lasting several months of a CC5/ST105/USA100 clone among 18 infants in a neonatal intensive care unit (NICU). Available hospital-wide genome surveillance data traced the origins of the outbreak to three patients admitted to adult wards during a 4-month period preceding the NICU outbreak. The pattern of changes among complete outbreak genomes provided full spatiotemporal resolution of its progression, which was characterized by multiple subtransmissions and likely precipitated by equipment sharing between adults and infants. Compared to other hospital strains, the outbreak strain carried distinct mutations and accessory genetic elements that impacted genes with roles in metabolism, resistance, and persistence. This included a DNA recognition domain recombination in the hsdS gene of a type I restriction modification system that altered DNA methylation. Transcriptome sequencing (RNA-Seq) profiling showed that the (epi)genetic changes in the outbreak clone attenuated agr gene expression and upregulated genes involved in stress response and biofilm formation. Overall, our findings demonstrate the utility of long-read sequencing for hospital surveillance and for characterizing accessory genomic elements that may impact MRSA virulence and persistence.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Contexto en salud: 1_ASSA2030 / 4_TD Problema de salud: 1_surtos_doencas_emergencias / 4_sepsis Asunto principal: Infecciones Estafilocócicas / Infección Hospitalaria / Brotes de Enfermedades / Bacteriemia / Epidemiología Molecular / Staphylococcus aureus Resistente a Meticilina / Secuenciación Completa del Genoma Tipo de estudio: Diagnostic_studies / Prognostic_studies / Screening_studies Límite: Adult / Humans / Infant / Newborn Idioma: En Revista: J Clin Microbiol Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Contexto en salud: 1_ASSA2030 / 4_TD Problema de salud: 1_surtos_doencas_emergencias / 4_sepsis Asunto principal: Infecciones Estafilocócicas / Infección Hospitalaria / Brotes de Enfermedades / Bacteriemia / Epidemiología Molecular / Staphylococcus aureus Resistente a Meticilina / Secuenciación Completa del Genoma Tipo de estudio: Diagnostic_studies / Prognostic_studies / Screening_studies Límite: Adult / Humans / Infant / Newborn Idioma: En Revista: J Clin Microbiol Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos
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