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Single-molecule long-read 16S sequencing to characterize the lung microbiome from mechanically ventilated patients with suspected pneumonia.
Toma, Ian; Siegel, Marc O; Keiser, John; Yakovleva, Anna; Kim, Alvin; Davenport, Lionel; Devaney, Joseph; Hoffman, Eric P; Alsubail, Rami; Crandall, Keith A; Castro-Nallar, Eduardo; Pérez-Losada, Marcos; Hilton, Sarah K; Chawla, Lakhmir S; McCaffrey, Timothy A; Simon, Gary L.
Afiliación
  • Toma I; Department of Medicine, Division of Genomic Medicine, The George Washington University School of Medicine and Health Sciences, Washington, DC, USA Department of Physical Therapy and Health Care Sciences, The George Washington University School of Medicine and Health Sciences, Washington, DC, USA ito
  • Siegel MO; Division of Infectious Diseases, The George Washington University School of Medicine and Health Sciences, Washington, DC, USA itoma@gwu.edu msiegel@mfa.gwu.edu.
  • Keiser J; Department of Pathology, The George Washington University School of Medicine and Health Sciences, Washington, DC, USA.
  • Yakovleva A; Department of Medicine, Division of Genomic Medicine, The George Washington University School of Medicine and Health Sciences, Washington, DC, USA.
  • Kim A; Department of Medicine, Division of Genomic Medicine, The George Washington University School of Medicine and Health Sciences, Washington, DC, USA.
  • Davenport L; Children's National Medical Research Center, The George Washington University School of Medicine and Health Sciences, Washington, DC, USA.
  • Devaney J; Children's National Medical Research Center, The George Washington University School of Medicine and Health Sciences, Washington, DC, USA.
  • Hoffman EP; Children's National Medical Research Center, The George Washington University School of Medicine and Health Sciences, Washington, DC, USA.
  • Alsubail R; Department of Medicine, Division of Genomic Medicine, The George Washington University School of Medicine and Health Sciences, Washington, DC, USA.
  • Crandall KA; Computational Biology Institute, The George Washington University School of Medicine and Health Sciences, Washington, DC, USA.
  • Castro-Nallar E; Computational Biology Institute, The George Washington University School of Medicine and Health Sciences, Washington, DC, USA.
  • Pérez-Losada M; Computational Biology Institute, The George Washington University School of Medicine and Health Sciences, Washington, DC, USA Centro de Investigação em Biodiversidade e Recursos Genéticos (CIBIO), Vairão, Portugal.
  • Hilton SK; Computational Biology Institute, The George Washington University School of Medicine and Health Sciences, Washington, DC, USA.
  • Chawla LS; Department of Anesthesiology, The George Washington University School of Medicine and Health Sciences, Washington, DC, USA.
  • McCaffrey TA; Department of Medicine, Division of Genomic Medicine, The George Washington University School of Medicine and Health Sciences, Washington, DC, USA Department of Microbiology, Immunology, and Tropical Medicine, The George Washington University School of Medicine and Health Sciences, Washington, DC, U
  • Simon GL; Division of Infectious Diseases, The George Washington University School of Medicine and Health Sciences, Washington, DC, USA.
J Clin Microbiol ; 52(11): 3913-21, 2014 Nov.
Article en En | MEDLINE | ID: mdl-25143582
In critically ill patients, the development of pneumonia results in significant morbidity and mortality and additional health care costs. The accurate and rapid identification of the microbial pathogens in patients with pulmonary infections might lead to targeted antimicrobial therapy with potentially fewer adverse effects and lower costs. Major advances in next-generation sequencing (NGS) allow culture-independent identification of pathogens. The present study used NGS of essentially full-length PCR-amplified 16S ribosomal DNA from the bronchial aspirates of intubated patients with suspected pneumonia. The results from 61 patients demonstrated that sufficient DNA was obtained from 72% of samples, 44% of which (27 samples) yielded PCR amplimers suitable for NGS. Out of the 27 sequenced samples, only 20 had bacterial culture growth, while the microbiological and NGS identification of bacteria coincided in 17 (85%) of these samples. Despite the lack of bacterial growth in 7 samples that yielded amplimers and were sequenced, the NGS identified a number of bacterial species in these samples. Overall, a significant diversity of bacterial species was identified from the same genus as the predominant cultured pathogens. The numbers of NGS-identifiable bacterial genera were consistently higher than identified by standard microbiological methods. As technical advances reduce the processing and sequencing times, NGS-based methods will ultimately be able to provide clinicians with rapid, precise, culture-independent identification of bacterial, fungal, and viral pathogens and their antimicrobial sensitivity profiles.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Contexto en salud: 4_TD / 6_ODS3_enfermedades_notrasmisibles Problema de salud: 4_pneumonia / 6_other_respiratory_diseases Asunto principal: Bacterias / Neumonía Asociada al Ventilador / Microbiota / Pulmón Límite: Aged / Female / Humans / Male / Middle aged Idioma: En Revista: J Clin Microbiol Año: 2014 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Contexto en salud: 4_TD / 6_ODS3_enfermedades_notrasmisibles Problema de salud: 4_pneumonia / 6_other_respiratory_diseases Asunto principal: Bacterias / Neumonía Asociada al Ventilador / Microbiota / Pulmón Límite: Aged / Female / Humans / Male / Middle aged Idioma: En Revista: J Clin Microbiol Año: 2014 Tipo del documento: Article
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