Clinical metagenomics of bone and joint infections: a proof of concept study

Abstract 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....

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Autores principales: Etienne Ruppé, Vladimir Lazarevic, Myriam Girard, William Mouton, Tristan Ferry, Frédéric Laurent, Jacques Schrenzel
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Lenguaje:EN
Publicado: Nature Portfolio 2017
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Acceso en línea:https://doaj.org/article/4bfd5991582e4acbb10ebd7995263959
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spelling oai:doaj.org-article:4bfd5991582e4acbb10ebd79952639592021-12-02T12:30:26ZClinical metagenomics of bone and joint infections: a proof of concept study10.1038/s41598-017-07546-52045-2322https://doaj.org/article/4bfd5991582e4acbb10ebd79952639592017-08-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-07546-5https://doaj.org/toc/2045-2322Abstract 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.Etienne RuppéVladimir LazarevicMyriam GirardWilliam MoutonTristan FerryFrédéric LaurentJacques SchrenzelNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-12 (2017)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Etienne Ruppé
Vladimir Lazarevic
Myriam Girard
William Mouton
Tristan Ferry
Frédéric Laurent
Jacques Schrenzel
Clinical metagenomics of bone and joint infections: a proof of concept study
description Abstract 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.
format article
author Etienne Ruppé
Vladimir Lazarevic
Myriam Girard
William Mouton
Tristan Ferry
Frédéric Laurent
Jacques Schrenzel
author_facet Etienne Ruppé
Vladimir Lazarevic
Myriam Girard
William Mouton
Tristan Ferry
Frédéric Laurent
Jacques Schrenzel
author_sort Etienne Ruppé
title Clinical metagenomics of bone and joint infections: a proof of concept study
title_short Clinical metagenomics of bone and joint infections: a proof of concept study
title_full Clinical metagenomics of bone and joint infections: a proof of concept study
title_fullStr Clinical metagenomics of bone and joint infections: a proof of concept study
title_full_unstemmed Clinical metagenomics of bone and joint infections: a proof of concept study
title_sort clinical metagenomics of bone and joint infections: a proof of concept study
publisher Nature Portfolio
publishDate 2017
url https://doaj.org/article/4bfd5991582e4acbb10ebd7995263959
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