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MALDI-TOF mass spectrometry for sub-typing of Streptococcus pneumoniae

BACKGROUND: Serotyping of Streptococcus pneumoniae is important for monitoring of vaccine impact. Unfortunately, conventional and molecular serotyping is expensive and technically demanding. This study aimed to determine the ability of matrix-assisted laser desorption-ionisation time-of-flight (MALD...

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Autores principales: Kann, Sivkheng, Sao, Sena, Phoeung, Chanleakhena, By, Youlet, Bryant, Juliet, Komurian-Pradel, Florence, Saphonn, Vonthanak, Chou, Monidarin, Turner, Paul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7709296/
https://www.ncbi.nlm.nih.gov/pubmed/33261551
http://dx.doi.org/10.1186/s12866-020-02052-7
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author Kann, Sivkheng
Sao, Sena
Phoeung, Chanleakhena
By, Youlet
Bryant, Juliet
Komurian-Pradel, Florence
Saphonn, Vonthanak
Chou, Monidarin
Turner, Paul
author_facet Kann, Sivkheng
Sao, Sena
Phoeung, Chanleakhena
By, Youlet
Bryant, Juliet
Komurian-Pradel, Florence
Saphonn, Vonthanak
Chou, Monidarin
Turner, Paul
author_sort Kann, Sivkheng
collection PubMed
description BACKGROUND: Serotyping of Streptococcus pneumoniae is important for monitoring of vaccine impact. Unfortunately, conventional and molecular serotyping is expensive and technically demanding. This study aimed to determine the ability of matrix-assisted laser desorption-ionisation time-of-flight (MALDI-TOF) mass spectrometry to discriminate between pneumococcal serotypes and genotypes (defined by global pneumococcal sequence cluster, GPSC). In this study, MALDI-TOF mass spectra were generated for a diverse panel of whole genome sequenced pneumococcal isolates using the bioMerieux VITEK MS in clinical diagnostic (IVD) mode. Discriminatory mass peaks were identified and hierarchical clustering was performed to visually assess discriminatory ability. Random forest and classification and regression tree (CART) algorithms were used to formally determine how well serotypes and genotypes were identified by MALDI-TOF mass spectrum. RESULTS: One hundred and ninety-nine pneumococci, comprising 16 serotypes and non-typeable isolates from 46 GPSC, were analysed. In the primary experiment, hierarchical clustering revealed poor congruence between MALDI-TOF mass spectrum and serotype. The correct serotype was identified from MALDI-TOF mass spectrum in just 14.6% (random forest) or 35.4% (CART) of 130 isolates. Restricting the dataset to the nine dominant GPSC (61 isolates / 13 serotypes), discriminatory ability improved slightly: the correct serotype was identified in 21.3% (random forest) and 41.0% (CART). Finally, analysis of 69 isolates of three dominant serotype-genotype pairs (6B-GPSC1, 19F-GPSC23, 23F-GPSC624) resulted in the correct serotype identification in 81.1% (random forest) and 94.2% (CART) of isolates. CONCLUSIONS: This work suggests that MALDI-TOF is not a useful technique for determination of pneumococcal serotype. MALDI-TOF mass spectra appear more associated with isolate genotype, which may still have utility for future pneumococcal surveillance activities. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12866-020-02052-7.
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spelling pubmed-77092962020-12-02 MALDI-TOF mass spectrometry for sub-typing of Streptococcus pneumoniae Kann, Sivkheng Sao, Sena Phoeung, Chanleakhena By, Youlet Bryant, Juliet Komurian-Pradel, Florence Saphonn, Vonthanak Chou, Monidarin Turner, Paul BMC Microbiol Research Article BACKGROUND: Serotyping of Streptococcus pneumoniae is important for monitoring of vaccine impact. Unfortunately, conventional and molecular serotyping is expensive and technically demanding. This study aimed to determine the ability of matrix-assisted laser desorption-ionisation time-of-flight (MALDI-TOF) mass spectrometry to discriminate between pneumococcal serotypes and genotypes (defined by global pneumococcal sequence cluster, GPSC). In this study, MALDI-TOF mass spectra were generated for a diverse panel of whole genome sequenced pneumococcal isolates using the bioMerieux VITEK MS in clinical diagnostic (IVD) mode. Discriminatory mass peaks were identified and hierarchical clustering was performed to visually assess discriminatory ability. Random forest and classification and regression tree (CART) algorithms were used to formally determine how well serotypes and genotypes were identified by MALDI-TOF mass spectrum. RESULTS: One hundred and ninety-nine pneumococci, comprising 16 serotypes and non-typeable isolates from 46 GPSC, were analysed. In the primary experiment, hierarchical clustering revealed poor congruence between MALDI-TOF mass spectrum and serotype. The correct serotype was identified from MALDI-TOF mass spectrum in just 14.6% (random forest) or 35.4% (CART) of 130 isolates. Restricting the dataset to the nine dominant GPSC (61 isolates / 13 serotypes), discriminatory ability improved slightly: the correct serotype was identified in 21.3% (random forest) and 41.0% (CART). Finally, analysis of 69 isolates of three dominant serotype-genotype pairs (6B-GPSC1, 19F-GPSC23, 23F-GPSC624) resulted in the correct serotype identification in 81.1% (random forest) and 94.2% (CART) of isolates. CONCLUSIONS: This work suggests that MALDI-TOF is not a useful technique for determination of pneumococcal serotype. MALDI-TOF mass spectra appear more associated with isolate genotype, which may still have utility for future pneumococcal surveillance activities. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12866-020-02052-7. BioMed Central 2020-12-01 /pmc/articles/PMC7709296/ /pubmed/33261551 http://dx.doi.org/10.1186/s12866-020-02052-7 Text en © The Author(s) 2020 Open AccessThis 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/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Kann, Sivkheng
Sao, Sena
Phoeung, Chanleakhena
By, Youlet
Bryant, Juliet
Komurian-Pradel, Florence
Saphonn, Vonthanak
Chou, Monidarin
Turner, Paul
MALDI-TOF mass spectrometry for sub-typing of Streptococcus pneumoniae
title MALDI-TOF mass spectrometry for sub-typing of Streptococcus pneumoniae
title_full MALDI-TOF mass spectrometry for sub-typing of Streptococcus pneumoniae
title_fullStr MALDI-TOF mass spectrometry for sub-typing of Streptococcus pneumoniae
title_full_unstemmed MALDI-TOF mass spectrometry for sub-typing of Streptococcus pneumoniae
title_short MALDI-TOF mass spectrometry for sub-typing of Streptococcus pneumoniae
title_sort maldi-tof mass spectrometry for sub-typing of streptococcus pneumoniae
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7709296/
https://www.ncbi.nlm.nih.gov/pubmed/33261551
http://dx.doi.org/10.1186/s12866-020-02052-7
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