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Published in: BMC Infectious Diseases 1/2019

Open Access 01-12-2019 | Clostridium | Research article

Application of MALDI-TOF MS to rapid identification of anaerobic bacteria

Authors: Ying Li, Mingzhu Shan, Zuobin Zhu, Xuhua Mao, Mingju Yan, Ying Chen, Qiuju Zhu, Hongchun Li, Bing Gu

Published in: BMC Infectious Diseases | Issue 1/2019

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Abstract

Background

Matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) has been rapidly developed and widely used as an analytical technique in clinical laboratories with high accuracy in microorganism identification.

Objective

To validate the efficacy of MALDI-TOF MS in identification of clinical pathogenic anaerobes.

Methods

Twenty-eight studies covering 6685 strains of anaerobic bacteria were included in this meta-analysis. Fixed-effects models based on the P-value and the I-squared were used for meta-analysis to consider the possibility of heterogeneity between studies. Statistical analyses were performed by using STATA 12.0.

Results

The identification accuracy of MALDI-TOF MS was 84% for species (I2 = 98.0%, P < 0.1), and 92% for genus (I2 = 96.6%, P < 0.1). Thereinto, the identification accuracy of Bacteroides was the highest at 96% with a 95% CI of 95–97%, followed by Lactobacillus spp., Parabacteroides spp., Clostridium spp., Propionibacterium spp., Prevotella spp., Veillonella spp. and Peptostreptococcus spp., and their correct identification rates were all above 90%, while the accuracy of rare anaerobic bacteria was relatively low. Meanwhile, the overall capabilities of two MALDI-TOF MS systems were different. The identification accuracy rate was 90% for VITEK MS vs. 86% for MALDI biotyper system.

Conclusions

Our research showed that MALDI-TOF-MS was satisfactory in genus identification of clinical pathogenic anaerobic bacteria. However, this method still suffers from different drawbacks in precise identification of rare anaerobe and species levels of common anaerobic bacteria.
Appendix
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Metadata
Title
Application of MALDI-TOF MS to rapid identification of anaerobic bacteria
Authors
Ying Li
Mingzhu Shan
Zuobin Zhu
Xuhua Mao
Mingju Yan
Ying Chen
Qiuju Zhu
Hongchun Li
Bing Gu
Publication date
01-12-2019
Publisher
BioMed Central
Keyword
Clostridium
Published in
BMC Infectious Diseases / Issue 1/2019
Electronic ISSN: 1471-2334
DOI
https://doi.org/10.1186/s12879-019-4584-0

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