Cargando…

Putative Protein Biomarkers of Escherichia coli Antibiotic Multiresistance Identified by MALDI Mass Spectrometry

The commensal bacteria Escherichia coli causes several intestinal and extra-intestinal diseases, since it has virulence factors that interfere in important cellular processes. These bacteria also have a great capacity to spread the resistance genes, sometimes to phylogenetically distant bacteria, wh...

Descripción completa

Detalles Bibliográficos
Autores principales: de Sousa, Telma, Viala, Didier, Théron, Laetitia, Chambon, Christophe, Hébraud, Michel, Poeta, Patricia, Igrejas, Gilberto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7150737/
https://www.ncbi.nlm.nih.gov/pubmed/32204308
http://dx.doi.org/10.3390/biology9030056
_version_ 1783521086151852032
author de Sousa, Telma
Viala, Didier
Théron, Laetitia
Chambon, Christophe
Hébraud, Michel
Poeta, Patricia
Igrejas, Gilberto
author_facet de Sousa, Telma
Viala, Didier
Théron, Laetitia
Chambon, Christophe
Hébraud, Michel
Poeta, Patricia
Igrejas, Gilberto
author_sort de Sousa, Telma
collection PubMed
description The commensal bacteria Escherichia coli causes several intestinal and extra-intestinal diseases, since it has virulence factors that interfere in important cellular processes. These bacteria also have a great capacity to spread the resistance genes, sometimes to phylogenetically distant bacteria, which poses an additional threat to public health worldwide. Here, we aimed to use the analytical potential of MALDI-TOF mass spectrometry (MS) to characterize E. coli isolates and identify proteins associated closely with antibiotic resistance. Thirty strains of extended-spectrum beta-lactamase producing E. coli were sampled from various animals. The phenotypes of antibiotic resistance were determined according to Clinical and Laboratory Standards Institute (CLSI) methods, and they showed that all bacterial isolates were multi-resistant to trimethoprim-sulfamethoxazole, tetracycline, and ampicillin. To identify peptides characteristic of resistance to particular antibiotics, each strain was grown in the presence or absence of the different antibiotics, and then proteins were extracted from the cells. The protein fingerprints of the samples were determined by MALDI-TOF MS in linear mode over a mass range of 2 to 20 kDa. The spectra obtained were compared by using the ClinProTools bioinformatics software, using three machine learning classification algorithms. A putative species biomarker was also detected at a peak m/z of 4528.00.
format Online
Article
Text
id pubmed-7150737
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-71507372020-04-20 Putative Protein Biomarkers of Escherichia coli Antibiotic Multiresistance Identified by MALDI Mass Spectrometry de Sousa, Telma Viala, Didier Théron, Laetitia Chambon, Christophe Hébraud, Michel Poeta, Patricia Igrejas, Gilberto Biology (Basel) Article The commensal bacteria Escherichia coli causes several intestinal and extra-intestinal diseases, since it has virulence factors that interfere in important cellular processes. These bacteria also have a great capacity to spread the resistance genes, sometimes to phylogenetically distant bacteria, which poses an additional threat to public health worldwide. Here, we aimed to use the analytical potential of MALDI-TOF mass spectrometry (MS) to characterize E. coli isolates and identify proteins associated closely with antibiotic resistance. Thirty strains of extended-spectrum beta-lactamase producing E. coli were sampled from various animals. The phenotypes of antibiotic resistance were determined according to Clinical and Laboratory Standards Institute (CLSI) methods, and they showed that all bacterial isolates were multi-resistant to trimethoprim-sulfamethoxazole, tetracycline, and ampicillin. To identify peptides characteristic of resistance to particular antibiotics, each strain was grown in the presence or absence of the different antibiotics, and then proteins were extracted from the cells. The protein fingerprints of the samples were determined by MALDI-TOF MS in linear mode over a mass range of 2 to 20 kDa. The spectra obtained were compared by using the ClinProTools bioinformatics software, using three machine learning classification algorithms. A putative species biomarker was also detected at a peak m/z of 4528.00. MDPI 2020-03-19 /pmc/articles/PMC7150737/ /pubmed/32204308 http://dx.doi.org/10.3390/biology9030056 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
de Sousa, Telma
Viala, Didier
Théron, Laetitia
Chambon, Christophe
Hébraud, Michel
Poeta, Patricia
Igrejas, Gilberto
Putative Protein Biomarkers of Escherichia coli Antibiotic Multiresistance Identified by MALDI Mass Spectrometry
title Putative Protein Biomarkers of Escherichia coli Antibiotic Multiresistance Identified by MALDI Mass Spectrometry
title_full Putative Protein Biomarkers of Escherichia coli Antibiotic Multiresistance Identified by MALDI Mass Spectrometry
title_fullStr Putative Protein Biomarkers of Escherichia coli Antibiotic Multiresistance Identified by MALDI Mass Spectrometry
title_full_unstemmed Putative Protein Biomarkers of Escherichia coli Antibiotic Multiresistance Identified by MALDI Mass Spectrometry
title_short Putative Protein Biomarkers of Escherichia coli Antibiotic Multiresistance Identified by MALDI Mass Spectrometry
title_sort putative protein biomarkers of escherichia coli antibiotic multiresistance identified by maldi mass spectrometry
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7150737/
https://www.ncbi.nlm.nih.gov/pubmed/32204308
http://dx.doi.org/10.3390/biology9030056
work_keys_str_mv AT desousatelma putativeproteinbiomarkersofescherichiacoliantibioticmultiresistanceidentifiedbymaldimassspectrometry
AT vialadidier putativeproteinbiomarkersofescherichiacoliantibioticmultiresistanceidentifiedbymaldimassspectrometry
AT theronlaetitia putativeproteinbiomarkersofescherichiacoliantibioticmultiresistanceidentifiedbymaldimassspectrometry
AT chambonchristophe putativeproteinbiomarkersofescherichiacoliantibioticmultiresistanceidentifiedbymaldimassspectrometry
AT hebraudmichel putativeproteinbiomarkersofescherichiacoliantibioticmultiresistanceidentifiedbymaldimassspectrometry
AT poetapatricia putativeproteinbiomarkersofescherichiacoliantibioticmultiresistanceidentifiedbymaldimassspectrometry
AT igrejasgilberto putativeproteinbiomarkersofescherichiacoliantibioticmultiresistanceidentifiedbymaldimassspectrometry