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Journal articles

Metabotypes of Pseudomonas aeruginosa Correlate with Antibiotic Resistance, Virulence and Clinical Outcome in Cystic Fibrosis Chronic Infections

Oriane Moyne 1 Florence Castelli 2 Dominique Bicout 1 Julien Boccard 3 Boubou Camara 4 Benoit Cournoyer 5 Eric Faudry 6 Samuel Terrier 2 Dalil Hannani 7 Sarah Huot-Marchand 1 Claire Léger 1 Max Maurin 7 Tuan-Dung Ngo 8 Caroline Plazy 7 Robert Quinn 9 Ina Attrée 8 François Fenaille 2 Bertrand Toussaint 7 Audrey Le Gouëllec 7
1 TIMC - Translational Innovation in Medicine and Complexity / Recherche Translationnelle et Innovation en Médecine et Complexité - UMR 5525
2 MTS - Médicaments et Technologies pour la Santé
3 UNIGE - Université de Genève
4 CHU - Centre Hospitalier Universitaire [Grenoble]
5 VAS - VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement
6 PBRC - Pathogenèse bactérienne et réponses cellulaires
CNRS - Centre National de la Recherche Scientifique : ERL 526, BCI - Biologie du Cancer et de l'Infection
7 TIMC-TrEE - Translational microbial Evolution and Engineering
TIMC - Translational Innovation in Medicine and Complexity / Recherche Translationnelle et Innovation en Médecine et Complexité - UMR 5525
8 Pathogénie bactérienne et réponses cellulaires
9 Michigan State University [East Lansing]
Abstract : Pseudomonas aeruginosa (P.a) is one of the most critical antibiotic resistant bacteria in the world and is the most prevalent pathogen in cystic fibrosis (CF), causing chronic lung infections that are considered one of the major causes of mortality in CF patients. Although several studies have contributed to understanding P.a within-host adaptive evolution at a genomic level, it is still difficult to establish direct relationships between the observed mutations, expression of clinically relevant phenotypes, and clinical outcomes. Here, we performed a comparative untargeted LC/HRMS-based metabolomics analysis of sequential isolates from chronically infected CF patients to obtain a functional view of P.a adaptation. Metabolic profiles were integrated with expression of bacterial phenotypes and clinical measurements following multiscale analysis methods. Our results highlighted significant associations between P.a “metabotypes”, expression of antibiotic resistance and virulence phenotypes, and frequency of clinical exacerbations, thus identifying promising biomarkers and therapeutic targets for difficult-to-treat P.a infections
Keywords : cystic fibrosis metabolomics multiscale data analysis LC-HRMS P. aeruginosa 37 polyamines Ala-Glu-mesodiaminopimelate
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Journal articles
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https://hal.archives-ouvertes.fr/hal-03146820
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Submitted on : Tuesday, November 2, 2021 - 3:01:20 PM
Last modification on : Friday, April 1, 2022 - 3:46:12 AM
Long-term archiving on: : Thursday, February 3, 2022 - 7:20:44 PM

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TIMC-TREE | VETAGRO-TIMG-IMAG | IRIG | CEA-GRE | UDL | IBS-PBRC | ECOMIC | CEA-DRF | CNRS | IMAG | UNIV-LYON1 | TIMC-IMAG | TIMC-IMAG-EPSP | IRTSV-BCI | IBS | UGA | CEA | JOLIOT | INRAE | CEA-UPSAY | GS-HEALTH-DRUG-SCIENCES | UNIV-PARIS-SACLAY | INSERM

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Oriane Moyne, Florence Castelli, Dominique Bicout, Julien Boccard, Boubou Camara, et al.. Metabotypes of Pseudomonas aeruginosa Correlate with Antibiotic Resistance, Virulence and Clinical Outcome in Cystic Fibrosis Chronic Infections. Metabolites, MDPI, 2021, 11 (2), ⟨10.3390/metabo11020063⟩. ⟨hal-03146820⟩

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