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Evaluation of the Autof MS1000 mass spectrometer in the identification of clinical isolates
BACKGROUND: To evaluate the accuracy and performance of the Autof MS1000 mass spectrometer in bacteria and yeast identification, 2342 isolates were obtained from microbial cultures of clinical specimens (e.g. blood, cerebrospinal fluid, respiratory tract samples, lumbar puncture fluid, wound samples...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7576717/ https://www.ncbi.nlm.nih.gov/pubmed/33081722 http://dx.doi.org/10.1186/s12866-020-02005-0 |
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author | Ma, Qiong Zhang, Qi Yuan, Youhua Yan, Wenjuan Wang, Shanmei Xu, Junhong Zhang, Jiangfeng Wang, Yuming Li, Yi |
author_facet | Ma, Qiong Zhang, Qi Yuan, Youhua Yan, Wenjuan Wang, Shanmei Xu, Junhong Zhang, Jiangfeng Wang, Yuming Li, Yi |
author_sort | Ma, Qiong |
collection | PubMed |
description | BACKGROUND: To evaluate the accuracy and performance of the Autof MS1000 mass spectrometer in bacteria and yeast identification, 2342 isolates were obtained from microbial cultures of clinical specimens (e.g. blood, cerebrospinal fluid, respiratory tract samples, lumbar puncture fluid, wound samples, stool, and urine) collected in 2019 in Henan Provincial People’s Hospital. Repetitive strains from the same patient were excluded. We tested the Autof MS1000 and Bruker Biotyper mass spectrometry systems and the classical biochemical identification system VITEK 2/API 20C AUX. Inconsistencies in strain identification among the three systems were identified by 16S rDNA and gene sequencing. RESULTS: At the species level, the Autof MS1000 and Bruker Biotyper systems had isolate identification accuracies of 98.9 and 98.5%, respectively. At the genus level, the Autof MS1000 and Bruker Biotyper systems were 99.7 and 99.4% accurate, respectively. The instruments did not significantly differ in identification accuracy at either taxonomic level. The frequencies of unreliable identification were 1.1% (26/2342) for the Autof MS1000 and 1.5% (34/2342) for the Bruker Biotyper. In vitro experiments demonstrated that the coincidence rate of the Autof MS1000 mass spectrometer in the identification of five types of bacteria was > 93%, the identification error rate was < 3%, and the no identification rate was 0. This indicates that the Autof MS1000 system is acceptable for identification. CONCLUSIONS: The Autof MS1000 mass spectrometer can be utilised to identify clinical isolates. However, an upgradation of the database is recommended to correctly identify rare strains. |
format | Online Article Text |
id | pubmed-7576717 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-75767172020-10-21 Evaluation of the Autof MS1000 mass spectrometer in the identification of clinical isolates Ma, Qiong Zhang, Qi Yuan, Youhua Yan, Wenjuan Wang, Shanmei Xu, Junhong Zhang, Jiangfeng Wang, Yuming Li, Yi BMC Microbiol Research Article BACKGROUND: To evaluate the accuracy and performance of the Autof MS1000 mass spectrometer in bacteria and yeast identification, 2342 isolates were obtained from microbial cultures of clinical specimens (e.g. blood, cerebrospinal fluid, respiratory tract samples, lumbar puncture fluid, wound samples, stool, and urine) collected in 2019 in Henan Provincial People’s Hospital. Repetitive strains from the same patient were excluded. We tested the Autof MS1000 and Bruker Biotyper mass spectrometry systems and the classical biochemical identification system VITEK 2/API 20C AUX. Inconsistencies in strain identification among the three systems were identified by 16S rDNA and gene sequencing. RESULTS: At the species level, the Autof MS1000 and Bruker Biotyper systems had isolate identification accuracies of 98.9 and 98.5%, respectively. At the genus level, the Autof MS1000 and Bruker Biotyper systems were 99.7 and 99.4% accurate, respectively. The instruments did not significantly differ in identification accuracy at either taxonomic level. The frequencies of unreliable identification were 1.1% (26/2342) for the Autof MS1000 and 1.5% (34/2342) for the Bruker Biotyper. In vitro experiments demonstrated that the coincidence rate of the Autof MS1000 mass spectrometer in the identification of five types of bacteria was > 93%, the identification error rate was < 3%, and the no identification rate was 0. This indicates that the Autof MS1000 system is acceptable for identification. CONCLUSIONS: The Autof MS1000 mass spectrometer can be utilised to identify clinical isolates. However, an upgradation of the database is recommended to correctly identify rare strains. BioMed Central 2020-10-20 /pmc/articles/PMC7576717/ /pubmed/33081722 http://dx.doi.org/10.1186/s12866-020-02005-0 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 Ma, Qiong Zhang, Qi Yuan, Youhua Yan, Wenjuan Wang, Shanmei Xu, Junhong Zhang, Jiangfeng Wang, Yuming Li, Yi Evaluation of the Autof MS1000 mass spectrometer in the identification of clinical isolates |
title | Evaluation of the Autof MS1000 mass spectrometer in the identification of clinical isolates |
title_full | Evaluation of the Autof MS1000 mass spectrometer in the identification of clinical isolates |
title_fullStr | Evaluation of the Autof MS1000 mass spectrometer in the identification of clinical isolates |
title_full_unstemmed | Evaluation of the Autof MS1000 mass spectrometer in the identification of clinical isolates |
title_short | Evaluation of the Autof MS1000 mass spectrometer in the identification of clinical isolates |
title_sort | evaluation of the autof ms1000 mass spectrometer in the identification of clinical isolates |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7576717/ https://www.ncbi.nlm.nih.gov/pubmed/33081722 http://dx.doi.org/10.1186/s12866-020-02005-0 |
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