Prediction of Antimicrobial Resistance in Clinical Enterococcus faecium Isolates Using a Rules-Based Analysis of Whole-Genome Sequences
| Autor: | Melis N. Anahtar, Juliet T Bramante, Douglas S. Kwon, Eric S. Rosenberg, Jiawu Xu, Virginia M. Pierce, Jeffrey M Paer, Lisa Desrosiers |
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| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: |
Tetracycline
Enterococcus faecium Microbial Sensitivity Tests Biology chemistry.chemical_compound Antibiotic resistance Mechanisms of Resistance Ampicillin Drug Resistance Bacterial medicine Humans Pharmacology (medical) Gram-Positive Bacterial Infections Phylogeny Pharmacology Doxycycline Genetics Broth microdilution Molecular diagnostics biology.organism_classification Anti-Bacterial Agents Infectious Diseases chemistry Linezolid medicine.drug |
| Zdroj: | Antimicrob Agents Chemother |
| Popis: | Background: Enterococcus faecium is a major cause of clinical infections, often due to multidrug-resistant (MDR) strains. Whole genome sequencing (WGS) is a powerful tool to study MDR bacteria and their antimicrobial resistance (AMR) mechanisms. Here we use WGS to characterize E. faecium clinical isolates and test the feasibility of rules-based genotypic prediction of AMR. Methods: Clinical isolates were divided into derivation and validation sets. Phenotypic susceptibility testing for ampicillin, vancomycin, high-level gentamicin, ciprofloxacin, levofloxacin, doxycycline, tetracycline, and linezolid was performed using the VITEK 2 automated system, with confirmation and discrepancy resolution by broth microdilution, disk diffusion, or gradient diffusion when needed. WGS was performed to identify isolate lineage and AMR genotype. AMR prediction rules were derived by analyzing the genotypic-phenotypic relationship in the derivation set. Results: Phylogenetic analysis demonstrated that 88% of isolates in the collection belonged to hospital-associated clonal complex 17. Additionally, 12% of isolates had novel sequence types. When applied to the validation set, the derived prediction rules demonstrated an overall positive predictive value of 98% and negative predictive value of 99% compared to standard phenotypic methods. Most errors were falsely resistant predictions for tetracycline and doxycycline. Further analysis of genotypic-phenotypic discrepancies revealed potentially novel pbp5 and tet(M) alleles that provide insight into ampicillin and tetracycline class resistance mechanisms. The prediction rules demonstrated generalizability when tested on an external dataset. Conclusions: Known AMR genes and mutations can predict E. faecium phenotypic susceptibility with high accuracy for most routinely tested antibiotics, providing opportunities for advancing molecular diagnostics. |
| Databáze: | OpenAIRE |
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