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Microbe-Metabolite Associations Linked to the Rebounding Murine Gut Microbiome Postcolonization with Vancomycin-Resistant Enterococcus faecium.
Mu, Andre; Carter, Glen P; Li, Lucy; Isles, Nicole S; Vrbanac, Alison F; Morton, James T; Jarmusch, Alan K; De Souza, David P; Narayana, Vinod K; Kanojia, Komal; Nijagal, Brunda; McConville, Malcolm J; Knight, Rob; Howden, Benjamin P; Stinear, Timothy P.
Afiliação
  • Mu A; Department of Microbiology and Immunology, Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, Australia andre.mu@unimelb.edu.au.
  • Carter GP; Doherty Applied Microbial Genomics, Department of Microbiology and Immunology, Peter Doherty Institute for Infection and Immunity, Melbourne, Australia.
  • Li L; Microbiological Diagnostic Unit Public Health Laboratory, Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, Australia.
  • Isles NS; Department of Microbiology and Immunology, Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, Australia.
  • Vrbanac AF; Department of Microbiology and Immunology, Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, Australia.
  • Morton JT; Department of Microbiology and Immunology, Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, Australia.
  • Jarmusch AK; Microbiological Diagnostic Unit Public Health Laboratory, Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, Australia.
  • De Souza DP; Department of Pediatrics, University of California San Diego, La Jolla, California, USA.
  • Narayana VK; Department of Computer Science & Engineering, University of California San Diego, La Jolla, California, USA.
  • Kanojia K; Flatiron Institute, Centre for Computational Biology, New York, New York, USA.
  • Nijagal B; Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, USA.
  • McConville MJ; Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, California, USA.
  • Knight R; Metabolomics Australia, Bio21 Institute of Molecular Science and Biotechnology, University of Melbourne, Melbourne, Australia.
  • Howden BP; Metabolomics Australia, Bio21 Institute of Molecular Science and Biotechnology, University of Melbourne, Melbourne, Australia.
  • Stinear TP; Centre for Biostatistics and Clinical Trials, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia.
mSystems ; 5(4)2020 Aug 18.
Article em En | MEDLINE | ID: mdl-32817384
ABSTRACT
Vancomycin-resistant Enterococcus faecium (VREfm) is an emerging antibiotic-resistant pathogen. Strain-level investigations are beginning to reveal the molecular mechanisms used by VREfm to colonize regions of the human bowel. However, the role of commensal bacteria during VREfm colonization, in particular following antibiotic treatment, remains largely unknown. We employed amplicon 16S rRNA gene sequencing and metabolomics in a murine model system to try and investigate functional roles of the gut microbiome during VREfm colonization. First-order taxonomic shifts between Bacteroidetes and Tenericutes within the gut microbial community composition were detected both in response to pretreatment using ceftriaxone and to subsequent VREfm challenge. Using neural networking approaches to find cooccurrence profiles of bacteria and metabolites, we detected key metabolome features associated with butyric acid during and after VREfm colonization. These metabolite features were associated with Bacteroides, indicative of a transition toward a preantibiotic naive microbiome. This study shows the impacts of antibiotics on the gut ecosystem and the progression of the microbiome in response to colonization with VREfm. Our results offer insights toward identifying potential nonantibiotic alternatives to eliminate VREfm through metabolic reengineering to preferentially select for Bacteroides IMPORTANCE This study demonstrates the importance and power of linking bacterial composition profiling with metabolomics to find the interactions between commensal gut bacteria and a specific pathogen. Knowledge from this research will inform gut microbiome engineering strategies, with the aim of translating observations from animal models to human-relevant therapeutic applications.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Risk_factors_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Risk_factors_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article