Fitness cost of antibiotic susceptibility during bacterial infection

Autor: Yang Fu, Hugues Aschard, John J. Mekalanos, François Angoulvant, Stephen Lory, David Skurnik, Jean-Damien Ricard, Gerald B. Pier, Olga Danilchanka, Jonathan Messika, Thomas Guillard, Damien Roux, Vincent Cattoir
Přispěvatelé: Entérobactéries Résistance Acquise - EA 4687 (ERA), Université de Reims Champagne-Ardenne (URCA)-SFR CAP Santé (Champagne-Ardenne Picardie Santé), Université de Reims Champagne-Ardenne (URCA)-Université de Picardie Jules Verne (UPJV)-Université de Reims Champagne-Ardenne (URCA)-Université de Picardie Jules Verne (UPJV), Harvard Medical School [Boston] (HMS), Infection, Anti-microbiens, Modélisation, Evolution (IAME (UMR_S_1137 / U1137)), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Paris (UP)-Université Sorbonne Paris Nord, CHU Caen, Normandie Université (NU)-Tumorothèque de Caen Basse-Normandie (TCBN), Centre de recherche en épidémiologie et santé des populations (CESP), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Université Paris-Sud - Paris 11 (UP11)-Hôpital Paul Brousse-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Hôpital Louis Mourier - AP-HP [Colombes], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Ecologie et Evolution des Microorganismes (EEM), Université Paris Diderot - Paris 7 (UPD7)-Université Paris 13 (UP13)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM)
Rok vydání: 2015
Předmět:
Acinetobacter baumannii
MESH: Sequence Analysis
DNA

MESH: Drug Resistance
Microbial

[SDV]Life Sciences [q-bio]
Antibiotics
Colony Count
Microbial

MESH: Rabbits
medicine.disease_cause
Mice
Cost of Illness
MESH: Animals
Lung
Vibrio cholerae
ComputingMilieux_MISCELLANEOUS
MESH: Microbial Sensitivity Tests
[STAT.AP]Statistics [stat]/Applications [stat.AP]
biology
Drug Resistance
Microbial

General Medicine
Bacterial Infections
MESH: Cost of Illness
3. Good health
Anti-Bacterial Agents
MESH: DNA Transposable Elements
MESH: Pseudomonas aeruginosa
Pseudomonas aeruginosa
Rabbits
MESH: Genes
Bacterial

[STAT.ME]Statistics [stat]/Methodology [stat.ME]
MESH: Operon
MESH: Pneumonia
MESH: Mutation
MESH: Bacterial Infections
medicine.drug_class
Virulence
Microbial Sensitivity Tests
Microbiology
Antibiotic resistance
MESH: Anti-Bacterial Agents
Operon
medicine
Animals
MESH: Lung
MESH: Colony Count
Microbial

MESH: Mice
Gene
MESH: Acinetobacter baumannii
Pathogenic bacteria
Pneumonia
Sequence Analysis
DNA

biology.organism_classification
Gastrointestinal Tract
Disease Models
Animal

Mutagenesis
Insertional

MESH: Mutagenesis
Insertional

[SDV.GEN.GH]Life Sciences [q-bio]/Genetics/Human genetics
Genes
Bacterial

Mutation
DNA Transposable Elements
MESH: Gastrointestinal Tract
[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie
MESH: Disease Models
Animal

[INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM]
MESH: Vibrio cholerae
Zdroj: Science Translational Medicine
Science Translational Medicine, American Association for the Advancement of Science, 2015, 7 (297), pp.297ra114-297ra114. ⟨10.1126/scitranslmed.aab1621⟩
ISSN: 1946-6242
1946-6234
DOI: 10.1126/scitranslmed.aab1621⟩
Popis: International audience; Advances in high-throughput DNA sequencing allow for a comprehensive analysis of bacterial genes that contribute to virulence in a specific infectious setting. Such information can yield new insights that affect decisions on how to best manage major public health issues such as the threat posed by increasing antimicrobial drug resistance. Much of the focus has been on the consequences of the selective advantage conferred on drug-resistant strains during antibiotic therapy. It is thought that the genetic and phenotypic changes that confer resistance also result in concomitant reductions in in vivo fitness, virulence, and transmission. However, experimental validation of this accepted paradigm is modest. Using a saturated transposon library of Pseudomonas aeruginosa, we identified genes across many functional categories and operons that contributed to maximal in vivo fitness during lung infections in animal models. Genes that bestowed both intrinsic and acquired antibiotic resistance provided a positive in vivo fitness advantage to P. aeruginosa during infection. We confirmed these findings in the pathogenic bacteria Acinetobacter baumannii and Vibrio cholerae using murine and rabbit infection models, respectively. Our results show that efforts to confront the worldwide increase in antibiotic resistance might be exacerbated by fitness advantages that enhance virulence in drug-resistant microbes.
Databáze: OpenAIRE