Cargando…

Liquid Extraction Surface Analysis Mass Spectrometry of ESKAPE Pathogens

[Image: see text] The ESKAPE pathogens (Enterococcus faecium, Staphylococcus aureus, Klebsiella pneumoniae, Acinetobacter baumannii, Pseudomonas aeruginosa, and Enterobacter cloacae) represent clinically important bacterial species that are responsible for most hospital-acquired drug-resistant infec...

Descripción completa

Detalles Bibliográficos
Autores principales: Havlikova, Jana, May, Robin C., Styles, Iain B., Cooper, Helen J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2021
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8176453/
https://www.ncbi.nlm.nih.gov/pubmed/33647207
http://dx.doi.org/10.1021/jasms.0c00466
_version_ 1783703262737727488
author Havlikova, Jana
May, Robin C.
Styles, Iain B.
Cooper, Helen J.
author_facet Havlikova, Jana
May, Robin C.
Styles, Iain B.
Cooper, Helen J.
author_sort Havlikova, Jana
collection PubMed
description [Image: see text] The ESKAPE pathogens (Enterococcus faecium, Staphylococcus aureus, Klebsiella pneumoniae, Acinetobacter baumannii, Pseudomonas aeruginosa, and Enterobacter cloacae) represent clinically important bacterial species that are responsible for most hospital-acquired drug-resistant infections; hence, the need for rapid identification is of high importance. Previous work has demonstrated the suitability of liquid extraction surface analysis mass spectrometry (LESA MS) for the direct analysis of colonies of two of the ESKAPE pathogens (Staphylococcus aureus and Pseudomonas aeruginosa) growing on agar. Here, we apply LESA MS to the remaining four ESKAPE species (E. faecium E745, K. pneumoniae KP257, A. baumannii AYE, and E. cloacae S11) as well as E. faecalis V583 (a close relative of E. faecium) and a clinical isolate of A. baumannii AC02 using an optimized solvent sampling system. In each case, top-down LESA MS/MS was employed for protein identification. In total, 24 proteins were identified from 37 MS/MS spectra by searching against protein databases for the individual species. The MS/MS spectra for the identified proteins were subsequently searched against multiple databases from multiple species in an automated data analysis workflow with a view to determining the accuracy of identification of unknowns. Out of 24 proteins, 19 were correctly assigned at the protein and species level, corresponding to an identification success rate of 79%.
format Online
Article
Text
id pubmed-8176453
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher American Chemical Society
record_format MEDLINE/PubMed
spelling pubmed-81764532021-06-07 Liquid Extraction Surface Analysis Mass Spectrometry of ESKAPE Pathogens Havlikova, Jana May, Robin C. Styles, Iain B. Cooper, Helen J. J Am Soc Mass Spectrom [Image: see text] The ESKAPE pathogens (Enterococcus faecium, Staphylococcus aureus, Klebsiella pneumoniae, Acinetobacter baumannii, Pseudomonas aeruginosa, and Enterobacter cloacae) represent clinically important bacterial species that are responsible for most hospital-acquired drug-resistant infections; hence, the need for rapid identification is of high importance. Previous work has demonstrated the suitability of liquid extraction surface analysis mass spectrometry (LESA MS) for the direct analysis of colonies of two of the ESKAPE pathogens (Staphylococcus aureus and Pseudomonas aeruginosa) growing on agar. Here, we apply LESA MS to the remaining four ESKAPE species (E. faecium E745, K. pneumoniae KP257, A. baumannii AYE, and E. cloacae S11) as well as E. faecalis V583 (a close relative of E. faecium) and a clinical isolate of A. baumannii AC02 using an optimized solvent sampling system. In each case, top-down LESA MS/MS was employed for protein identification. In total, 24 proteins were identified from 37 MS/MS spectra by searching against protein databases for the individual species. The MS/MS spectra for the identified proteins were subsequently searched against multiple databases from multiple species in an automated data analysis workflow with a view to determining the accuracy of identification of unknowns. Out of 24 proteins, 19 were correctly assigned at the protein and species level, corresponding to an identification success rate of 79%. American Chemical Society 2021-03-01 2021-06-02 /pmc/articles/PMC8176453/ /pubmed/33647207 http://dx.doi.org/10.1021/jasms.0c00466 Text en © 2021 American Society for Mass Spectrometry. Published by American Chemical Society. All rights reserved. Permits the broadest form of re-use including for commercial purposes, provided that author attribution and integrity are maintained (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Havlikova, Jana
May, Robin C.
Styles, Iain B.
Cooper, Helen J.
Liquid Extraction Surface Analysis Mass Spectrometry of ESKAPE Pathogens
title Liquid Extraction Surface Analysis Mass Spectrometry of ESKAPE Pathogens
title_full Liquid Extraction Surface Analysis Mass Spectrometry of ESKAPE Pathogens
title_fullStr Liquid Extraction Surface Analysis Mass Spectrometry of ESKAPE Pathogens
title_full_unstemmed Liquid Extraction Surface Analysis Mass Spectrometry of ESKAPE Pathogens
title_short Liquid Extraction Surface Analysis Mass Spectrometry of ESKAPE Pathogens
title_sort liquid extraction surface analysis mass spectrometry of eskape pathogens
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8176453/
https://www.ncbi.nlm.nih.gov/pubmed/33647207
http://dx.doi.org/10.1021/jasms.0c00466
work_keys_str_mv AT havlikovajana liquidextractionsurfaceanalysismassspectrometryofeskapepathogens
AT mayrobinc liquidextractionsurfaceanalysismassspectrometryofeskapepathogens
AT stylesiainb liquidextractionsurfaceanalysismassspectrometryofeskapepathogens
AT cooperhelenj liquidextractionsurfaceanalysismassspectrometryofeskapepathogens