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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Nature Portfolio
2017
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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) |
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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 |
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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 |
work_keys_str_mv |
AT etienneruppe clinicalmetagenomicsofboneandjointinfectionsaproofofconceptstudy AT vladimirlazarevic clinicalmetagenomicsofboneandjointinfectionsaproofofconceptstudy AT myriamgirard clinicalmetagenomicsofboneandjointinfectionsaproofofconceptstudy AT williammouton clinicalmetagenomicsofboneandjointinfectionsaproofofconceptstudy AT tristanferry clinicalmetagenomicsofboneandjointinfectionsaproofofconceptstudy AT fredericlaurent clinicalmetagenomicsofboneandjointinfectionsaproofofconceptstudy AT jacquesschrenzel clinicalmetagenomicsofboneandjointinfectionsaproofofconceptstudy |
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1718394395199275008 |