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Identification and Cluster Analysis of Streptococcus pyogenes by MALDI-TOF Mass Spectrometry

BACKGROUND: Whole-cell matrix–assisted laser desorption ionization time-of-flight (MALDI-TOF) mass spectrometry (MS) has been successfully applied for bacterial identification and typing of many pathogens. The fast and reliable qualities of MALDI-TOF MS make it suitable for clinical diagnostics. MAL...

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Autores principales: Wang, Jie, Zhou, Na, Xu, Bin, Hao, Huaijie, Kang, Lin, Zheng, Yuling, Jiang, Yongqiang, Jiang, Hua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3492366/
https://www.ncbi.nlm.nih.gov/pubmed/23144803
http://dx.doi.org/10.1371/journal.pone.0047152
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author Wang, Jie
Zhou, Na
Xu, Bin
Hao, Huaijie
Kang, Lin
Zheng, Yuling
Jiang, Yongqiang
Jiang, Hua
author_facet Wang, Jie
Zhou, Na
Xu, Bin
Hao, Huaijie
Kang, Lin
Zheng, Yuling
Jiang, Yongqiang
Jiang, Hua
author_sort Wang, Jie
collection PubMed
description BACKGROUND: Whole-cell matrix–assisted laser desorption ionization time-of-flight (MALDI-TOF) mass spectrometry (MS) has been successfully applied for bacterial identification and typing of many pathogens. The fast and reliable qualities of MALDI-TOF MS make it suitable for clinical diagnostics. MALDI-TOF MS for the identification and cluster analysis of Streptococcus pyogenes, however, has not been reported. The goal of our study was to evaluate this approach for the rapid identification and typing of S. pyogenes. METHODS: 65 S. pyogenes isolates were obtained from the hospital. The samples were prepared and MALDI-TOF MS measurements were conducted as previously reported. Identification of unknown spectra was performed via a pattern recognition algorithm with a reference spectra and a dendrogram was constructed using the statistical toolbox in Matlab 7.1 integrated in the MALDI Biotyper 2.0 software. RESULTS: For identification, 61 of 65 S. pyogenes isolates could be identified correctly by MALDI-TOF MS with BioType 2.0 when compared to biochemical identification (API Strep), with an accuracy of 93.85%. In clustering analysis, 44 of 65 isolates were in accordance with those established by M typing, with a matching rate of 67.69%. When only the M type prevalence in China was considered, 41 of 45 isolates were in agreement with M typing, with a matching rate of 91.1%. CONCLUSIONS: It was here shown that MALDI-TOF MS with Soft Biotype 2.0 and its database could facilitate rapid identification of S. pyogenes. It may present an attractive alternative to traditional biochemical methods of identification. However, for classification, more isolates and advances in the MALDI-TOF MS technology are needed to improve accuracy.
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spelling pubmed-34923662012-11-09 Identification and Cluster Analysis of Streptococcus pyogenes by MALDI-TOF Mass Spectrometry Wang, Jie Zhou, Na Xu, Bin Hao, Huaijie Kang, Lin Zheng, Yuling Jiang, Yongqiang Jiang, Hua PLoS One Research Article BACKGROUND: Whole-cell matrix–assisted laser desorption ionization time-of-flight (MALDI-TOF) mass spectrometry (MS) has been successfully applied for bacterial identification and typing of many pathogens. The fast and reliable qualities of MALDI-TOF MS make it suitable for clinical diagnostics. MALDI-TOF MS for the identification and cluster analysis of Streptococcus pyogenes, however, has not been reported. The goal of our study was to evaluate this approach for the rapid identification and typing of S. pyogenes. METHODS: 65 S. pyogenes isolates were obtained from the hospital. The samples were prepared and MALDI-TOF MS measurements were conducted as previously reported. Identification of unknown spectra was performed via a pattern recognition algorithm with a reference spectra and a dendrogram was constructed using the statistical toolbox in Matlab 7.1 integrated in the MALDI Biotyper 2.0 software. RESULTS: For identification, 61 of 65 S. pyogenes isolates could be identified correctly by MALDI-TOF MS with BioType 2.0 when compared to biochemical identification (API Strep), with an accuracy of 93.85%. In clustering analysis, 44 of 65 isolates were in accordance with those established by M typing, with a matching rate of 67.69%. When only the M type prevalence in China was considered, 41 of 45 isolates were in agreement with M typing, with a matching rate of 91.1%. CONCLUSIONS: It was here shown that MALDI-TOF MS with Soft Biotype 2.0 and its database could facilitate rapid identification of S. pyogenes. It may present an attractive alternative to traditional biochemical methods of identification. However, for classification, more isolates and advances in the MALDI-TOF MS technology are needed to improve accuracy. Public Library of Science 2012-11-07 /pmc/articles/PMC3492366/ /pubmed/23144803 http://dx.doi.org/10.1371/journal.pone.0047152 Text en © 2012 Wang et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Wang, Jie
Zhou, Na
Xu, Bin
Hao, Huaijie
Kang, Lin
Zheng, Yuling
Jiang, Yongqiang
Jiang, Hua
Identification and Cluster Analysis of Streptococcus pyogenes by MALDI-TOF Mass Spectrometry
title Identification and Cluster Analysis of Streptococcus pyogenes by MALDI-TOF Mass Spectrometry
title_full Identification and Cluster Analysis of Streptococcus pyogenes by MALDI-TOF Mass Spectrometry
title_fullStr Identification and Cluster Analysis of Streptococcus pyogenes by MALDI-TOF Mass Spectrometry
title_full_unstemmed Identification and Cluster Analysis of Streptococcus pyogenes by MALDI-TOF Mass Spectrometry
title_short Identification and Cluster Analysis of Streptococcus pyogenes by MALDI-TOF Mass Spectrometry
title_sort identification and cluster analysis of streptococcus pyogenes by maldi-tof mass spectrometry
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3492366/
https://www.ncbi.nlm.nih.gov/pubmed/23144803
http://dx.doi.org/10.1371/journal.pone.0047152
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