Evidence map›Paper›PMID 23144803›Full record

ArticlePloS one2012

Identification and cluster analysis of Streptococcus pyogenes by MALDI-TOF mass spectrometry.

Jie Wang, Na Zhou, Bin Xu, Huaijie Hao, Lin Kang, Yuling Zheng, Yongqiang Jiang, Hua Jiang

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In one paragraph

Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
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21citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Performance of the matrix-assisted laser desorption ionization time-of-flight mass spectrometry system for rapid identification of streptococci: a review.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2017
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  9. Rapid Classification of Multilocus Sequence Subtype for Group BFrontiers in cellular and infection microbiology · 2020
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  10. Molecular Epidemiology ofInfection and drug resistance · 2020
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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Jie WangNational Center of Biomedical Analysis, Beijing, China.
Na Zhou
Bin Xu
Huaijie Hao
Lin Kang
Yuling Zheng
Yongqiang Jiang
Hua Jiang

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhole-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.

methods65 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.

resultsFor 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%.

conclusionsIt 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.

Indexed as

Bacterial Typing TechniquesCluster AnalysisHumansSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationStreptococcal InfectionsStreptococcus pyogenes

Identifiers

PMID23144803
PMCPMC3492366

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.