Genotypic resistance determined by whole genome sequencing versus phenotypic resistance in 234 Escherichia coli isolates.
Humans
Escherichia coli
/ genetics
Meropenem
Amikacin
/ pharmacology
Cefepime
Ceftazidime
Retrospective Studies
Anti-Bacterial Agents
/ pharmacology
Cefotaxime
Escherichia coli Infections
/ drug therapy
Ciprofloxacin
/ pharmacology
Microbial Sensitivity Tests
Genotype
Phenotype
Piperacillin
Tazobactam
Whole Genome Sequencing
Tobramycin
Amoxicillin
Gentamicins
Clavulanic Acid
Journal
Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288
Informations de publication
Date de publication:
09 01 2023
09 01 2023
Historique:
received:
27
06
2022
accepted:
06
01
2023
entrez:
9
1
2023
pubmed:
10
1
2023
medline:
12
1
2023
Statut:
epublish
Résumé
Whole genome sequencing (WGS) enables detailed characterization of bacteria at single nucleotide resolution. It provides data about acquired resistance genes and mutations leading to resistance. Although WGS is becoming an essential tool to predict resistance patterns accurately, comparing genotype to phenotype with WGS is still in its infancy. Additional data and validation are needed. In this retrospective study, we analysed 234 E. coli isolates from positive blood cultures using WGS as well as microdilution for 11 clinically relevant antibiotics, to compare the two techniques. We performed whole genome sequencing analyses on 234 blood culture isolates (genotype) to detect acquired antibiotic resistance. Minimal inhibitory concentrations (MIC) for E. coli were performed for amoxicillin, cefepime, cefotaxime, ceftazidime, meropenem, amoxicillin/clavulanic acid, piperacillin/tazobactam, amikacin, gentamicin, tobramycin, and ciprofloxacin, using the ISO 20776-1 standard broth microdilution method as recommended by EUCAST (phenotype). We then compared the two methods for statistical 'agreement'. A perfect (100%) categorical agreement between genotype and phenotype was observed for gentamicin and meropenem. However, no resistance to meropenem was observed. A high categorical agreement (> 95%) was observed for amoxicillin, cefepime, cefotaxime, ceftazidime, amikacin, and tobramycin. A categorical agreement lower than 95% was observed for amoxicillin/clavulanic acid, piperacillin/tazobactam, and ciprofloxacin. Most discrepancies occurred in isolates with MICs within ± 1 doubling dilution of the breakpoint and 22.73% of the major errors were samples that tested phenotypically susceptible at higher antibiotic exposure and were therefore considered as 'not resistant'. This study shows that WGS can be used as a valuable tool to predict phenotypic resistance against most of the clinically relevant antibiotics used for the treatment of E. coli bloodstream infections.
Identifiants
pubmed: 36624272
doi: 10.1038/s41598-023-27723-z
pii: 10.1038/s41598-023-27723-z
pmc: PMC9829913
doi:
Substances chimiques
Meropenem
FV9J3JU8B1
Amikacin
84319SGC3C
Cefepime
807PW4VQE3
Ceftazidime
9M416Z9QNR
Anti-Bacterial Agents
0
Cefotaxime
N2GI8B1GK7
Ciprofloxacin
5E8K9I0O4U
Piperacillin
X00B0D5O0E
Tazobactam
SE10G96M8W
Tobramycin
VZ8RRZ51VK
Amoxicillin
804826J2HU
Gentamicins
0
Clavulanic Acid
23521W1S24
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
449Informations de copyright
© 2023. The Author(s).
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