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Genotypic resistance determined by whole genome sequencing versus phenotypic resistance in 234 Escherichia coli isolates
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...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9829913/ https://www.ncbi.nlm.nih.gov/pubmed/36624272 http://dx.doi.org/10.1038/s41598-023-27723-z |
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author | Vanstokstraeten, R. Piérard, D. Crombé, F. De Geyter, D. Wybo, I. Muyldermans, A. Seyler, L. Caljon, B. Janssen, T. Demuyser, T. |
author_facet | Vanstokstraeten, R. Piérard, D. Crombé, F. De Geyter, D. Wybo, I. Muyldermans, A. Seyler, L. Caljon, B. Janssen, T. Demuyser, T. |
author_sort | Vanstokstraeten, R. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9829913 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-98299132023-01-11 Genotypic resistance determined by whole genome sequencing versus phenotypic resistance in 234 Escherichia coli isolates Vanstokstraeten, R. Piérard, D. Crombé, F. De Geyter, D. Wybo, I. Muyldermans, A. Seyler, L. Caljon, B. Janssen, T. Demuyser, T. Sci Rep Article 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. Nature Publishing Group UK 2023-01-09 /pmc/articles/PMC9829913/ /pubmed/36624272 http://dx.doi.org/10.1038/s41598-023-27723-z Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Vanstokstraeten, R. Piérard, D. Crombé, F. De Geyter, D. Wybo, I. Muyldermans, A. Seyler, L. Caljon, B. Janssen, T. Demuyser, T. Genotypic resistance determined by whole genome sequencing versus phenotypic resistance in 234 Escherichia coli isolates |
title | Genotypic resistance determined by whole genome sequencing versus phenotypic resistance in 234 Escherichia coli isolates |
title_full | Genotypic resistance determined by whole genome sequencing versus phenotypic resistance in 234 Escherichia coli isolates |
title_fullStr | Genotypic resistance determined by whole genome sequencing versus phenotypic resistance in 234 Escherichia coli isolates |
title_full_unstemmed | Genotypic resistance determined by whole genome sequencing versus phenotypic resistance in 234 Escherichia coli isolates |
title_short | Genotypic resistance determined by whole genome sequencing versus phenotypic resistance in 234 Escherichia coli isolates |
title_sort | genotypic resistance determined by whole genome sequencing versus phenotypic resistance in 234 escherichia coli isolates |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9829913/ https://www.ncbi.nlm.nih.gov/pubmed/36624272 http://dx.doi.org/10.1038/s41598-023-27723-z |
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