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Strain-level bacterial identification by CeO(2)-catalyzed MALDI-TOF MS fatty acid analysis and comparison to commercial protein-based methods
Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) has emerged as a rapid approach for clinical bacterial identification. However, current protein-based commercial bacterial ID methods fall short when differentiating closely related species/strains. To addres...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4507139/ https://www.ncbi.nlm.nih.gov/pubmed/26190224 http://dx.doi.org/10.1038/srep10470 |
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author | Cox, C. R. Jensen, K. R. Saichek, N. R. Voorhees, K. J. |
author_facet | Cox, C. R. Jensen, K. R. Saichek, N. R. Voorhees, K. J. |
author_sort | Cox, C. R. |
collection | PubMed |
description | Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) has emerged as a rapid approach for clinical bacterial identification. However, current protein-based commercial bacterial ID methods fall short when differentiating closely related species/strains. To address this shortcoming, we employed CeO(2)-catalyzed fragmentation of lipids to produce fatty acids using the energy inherent to the MALDI laser as a novel alternative to protein profiling. Fatty acid profiles collected from Enterobacteriaceae, Acinetobacter, and Listeria using CeO(2)-catalyzed metal oxide laser ionization (MOLI MS), processed by principal component analysis, and validated by leave–one-out cross-validation (CV), showed 100% correct classification at the species level and 98% at the strain level. In comparison, protein profile data from the same bacteria yielded 32%, 54% and 67% mean species-level accuracy using two MALDI-TOF MS platforms, respectively. In addition, several pathogens were misidentified by protein profiling as non-pathogens and vice versa. These results suggest novel CeO(2)-catalyzed lipid fragmentation readily produced (i) taxonomically tractable fatty acid profiles by MOLI MS, (ii) highly accurate bacterial classification and (iii) consistent strain-level ID for bacteria that were routinely misidentified by protein-based methods. |
format | Online Article Text |
id | pubmed-4507139 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-45071392015-07-21 Strain-level bacterial identification by CeO(2)-catalyzed MALDI-TOF MS fatty acid analysis and comparison to commercial protein-based methods Cox, C. R. Jensen, K. R. Saichek, N. R. Voorhees, K. J. Sci Rep Article Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) has emerged as a rapid approach for clinical bacterial identification. However, current protein-based commercial bacterial ID methods fall short when differentiating closely related species/strains. To address this shortcoming, we employed CeO(2)-catalyzed fragmentation of lipids to produce fatty acids using the energy inherent to the MALDI laser as a novel alternative to protein profiling. Fatty acid profiles collected from Enterobacteriaceae, Acinetobacter, and Listeria using CeO(2)-catalyzed metal oxide laser ionization (MOLI MS), processed by principal component analysis, and validated by leave–one-out cross-validation (CV), showed 100% correct classification at the species level and 98% at the strain level. In comparison, protein profile data from the same bacteria yielded 32%, 54% and 67% mean species-level accuracy using two MALDI-TOF MS platforms, respectively. In addition, several pathogens were misidentified by protein profiling as non-pathogens and vice versa. These results suggest novel CeO(2)-catalyzed lipid fragmentation readily produced (i) taxonomically tractable fatty acid profiles by MOLI MS, (ii) highly accurate bacterial classification and (iii) consistent strain-level ID for bacteria that were routinely misidentified by protein-based methods. Nature Publishing Group 2015-07-20 /pmc/articles/PMC4507139/ /pubmed/26190224 http://dx.doi.org/10.1038/srep10470 Text en Copyright © 2015, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Cox, C. R. Jensen, K. R. Saichek, N. R. Voorhees, K. J. Strain-level bacterial identification by CeO(2)-catalyzed MALDI-TOF MS fatty acid analysis and comparison to commercial protein-based methods |
title | Strain-level bacterial identification by CeO(2)-catalyzed MALDI-TOF MS fatty acid analysis and comparison to commercial protein-based methods |
title_full | Strain-level bacterial identification by CeO(2)-catalyzed MALDI-TOF MS fatty acid analysis and comparison to commercial protein-based methods |
title_fullStr | Strain-level bacterial identification by CeO(2)-catalyzed MALDI-TOF MS fatty acid analysis and comparison to commercial protein-based methods |
title_full_unstemmed | Strain-level bacterial identification by CeO(2)-catalyzed MALDI-TOF MS fatty acid analysis and comparison to commercial protein-based methods |
title_short | Strain-level bacterial identification by CeO(2)-catalyzed MALDI-TOF MS fatty acid analysis and comparison to commercial protein-based methods |
title_sort | strain-level bacterial identification by ceo(2)-catalyzed maldi-tof ms fatty acid analysis and comparison to commercial protein-based methods |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4507139/ https://www.ncbi.nlm.nih.gov/pubmed/26190224 http://dx.doi.org/10.1038/srep10470 |
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