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Clinical metagenomics of bone and joint infections: a proof of concept study.
Ruppé, Etienne; Lazarevic, Vladimir; Girard, Myriam; Mouton, William; Ferry, Tristan; Laurent, Frédéric; Schrenzel, Jacques.
Afiliación
  • Ruppé E; Genomic Research Laboratory, Service of Infectious Diseases, Geneva University Hospitals, rue Gabrielle-Perret-Gentil 4, 1205, Geneva, Switzerland. etienne.ruppe@hcuge.ch.
  • Lazarevic V; Genomic Research Laboratory, Service of Infectious Diseases, Geneva University Hospitals, rue Gabrielle-Perret-Gentil 4, 1205, Geneva, Switzerland.
  • Girard M; Genomic Research Laboratory, Service of Infectious Diseases, Geneva University Hospitals, rue Gabrielle-Perret-Gentil 4, 1205, Geneva, Switzerland.
  • Mouton W; Centre International de Recherche en Infectiologie, INSERM U1111, Pathogenesis of staphylococcal infections, University of Lyon 1, Lyon, France.
  • Ferry T; Department of Clinical Microbiology, Northern Hospital Group, Hospices Civils de Lyon, Lyon, France.
  • Laurent F; Centre International de Recherche en Infectiologie, INSERM U1111, Pathogenesis of staphylococcal infections, University of Lyon 1, Lyon, France.
  • Schrenzel J; Infectious Diseases Department, Northern Hospital Group, Hospices Civils de Lyon, Lyon, France.
Sci Rep ; 7(1): 7718, 2017 08 10.
Article en En | MEDLINE | ID: mdl-28798333
Bone and joint infections (BJI) are severe infections that require a tailored and protracted antibiotic treatment. Yet, the diagnostic based on culturing samples lacks sensitivity, especially for hardly culturable bacteria. Metagenomic sequencing could potentially address those limitations. Here, we assessed the performances of metagenomic sequencing on 24 BJI samples for the identification of pathogens and the prediction of their antibiotic susceptibility. For monomicrobial samples in culture (n = 8), the presence of the pathogen was confirmed by metagenomics in all cases. For polymicrobial samples (n = 16), 32/55 bacteria (58.2%) were found at the species level (and 41/55 [74.5%] at the genus level). Conversely, 273 bacteria not found in culture were identified, 182 being possible pathogens and 91 contaminants. A correct antibiotic susceptibility could be inferred in 94.1% and 76.5% cases for monomicrobial and polymicrobial samples, respectively. Altogether, we found that clinical metagenomics applied to BJI samples is a potential tool to support conventional culture.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Osteítis / Artritis Infecciosa / Metagenómica Tipo de estudio: Diagnostic_studies / Etiology_studies / Prognostic_studies Límite: Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: Sci Rep Año: 2017 Tipo del documento: Article País de afiliación: Suiza Pais de publicación: Reino Unido
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Osteítis / Artritis Infecciosa / Metagenómica Tipo de estudio: Diagnostic_studies / Etiology_studies / Prognostic_studies Límite: Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: Sci Rep Año: 2017 Tipo del documento: Article País de afiliación: Suiza Pais de publicación: Reino Unido