Establishing Genotype-to-Phenotype Relationships in Bacteria Causing Hospital-Acquired Pneumonia: A Prelude to the Application of Clinical Metagenomics.
- Ruppé E Genomic Research Laboratory, Geneva University Hospitals, CMU-9F, Rue Michel Servet 1, CH-1211 Geneva 14, Switzerland. etienne.ruppe@aphp.fr.
- Cherkaoui A Laboratory of Bacteriology, University Hospitals, Rue Gabrielle Perret-Gentil 4, CH-1211 Geneva 14, Switzerland. abdessalam.cherkaoui@hcuge.ch.
- Lazarevic V Genomic Research Laboratory, Geneva University Hospitals, CMU-9F, Rue Michel Servet 1, CH-1211 Geneva 14, Switzerland. vladimir.lazarevic@genomic.ch.
- Emonet S Service of Infectious Diseases, Geneva University Hospitals, Rue Gabrielle Perret-Gentil 4, CH-1211 Geneva 14, Switzerland. stephane.emonet@hcuge.ch.
- Schrenzel J Genomic Research Laboratory, Geneva University Hospitals, CMU-9F, Rue Michel Servet 1, CH-1211 Geneva 14, Switzerland. jacques.schrenzel@hcuge.ch.
- 2017-11-30
Published in:
- Antibiotics (Basel, Switzerland). - 2017
antibiotic resistance
hospital-acquired pneumonia
next-generation sequencing
prediction
whole-genome sequencing
English
Clinical metagenomics (CMg), referred to as the application of next-generation sequencing (NGS) to clinical samples, is a promising tool for the diagnosis of hospital-acquired pneumonia (HAP). Indeed, CMg allows identifying pathogens and antibiotic resistance genes (ARGs), thereby providing the information required for the optimization of the antibiotic regimen. Hence, provided that CMg would be faster than conventional culture, the probabilistic regimen used in HAP could be tailored faster, which should lead to an expected decrease of mortality and morbidity. While the inference of the antibiotic susceptibility testing from metagenomic or even genomic data is challenging, a limited number of antibiotics are used in the probabilistic regimen of HAP (namely beta-lactams, aminoglycosides, fluoroquinolones, glycopeptides and oxazolidinones). Accordingly, based on the perspective of applying CMg to the early diagnostic of HAP, we aimed at reviewing the performances of whole genomic sequencing (WGS) of the main HAP-causing bacteria (Enterobacteriaceae, Pseudomonas aeruginosa, Acinetobacter baumannii, Stenotrophomonas maltophilia and Staphylococcus aureus) for the prediction of susceptibility to the antibiotic families advocated in the probabilistic regimen of HAP.
- Language
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- English
- Open access status
- gold
- Identifiers
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- DOI 10.3390/antibiotics6040030
- PMID 29186015
- Persistent URL
- https://sonar.ch/global/documents/232953
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