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评估Autof MS2600和MBT Smart MALDI-TOF MS系统用于临床细菌和酵母的常规鉴定

Evaluation of Autof MS2600 and MBT Smart MALDI-TOF MS Systems for Routine Identification of Clinical Bacteria and Yeasts.

作者信息

De Carolis Elena, Ivagnes Vittorio, Magrì Carlotta, Falasca Benedetta, Spanu Teresa, Sanguinetti Maurizio

机构信息

Dipartimento di Scienze di Laboratorio e Infettivologiche, Fondazione Policlinico Universitario "A. Gemelli" IRCCS, 00168 Rome, Italy.

出版信息

Microorganisms. 2024 Feb 13;12(2):382. doi: 10.3390/microorganisms12020382.

Abstract

The identification of microorganisms at the species level has always constituted a diagnostic challenge for clinical microbiology laboratories. The aim of the present study has been the evaluation in a real-time assay of the performance of Autobio in comparison with the Bruker mass spectrometry system for the identification of bacteria and yeasts. A total of 535 bacteria and yeast were tested in parallel with the two systems by direct smear or fast formic acid extraction for bacteria and yeasts, respectively. Discordant results were verified by 16S, ITS rRNA or specific gene sequencing. Beyond giving comparable results for bacteria with respect to the MBT smart system, Autof MS2600 mass spectrometer provided excellent accuracy for the identification of yeast species of clinical interest.

摘要

在物种水平上鉴定微生物一直是临床微生物学实验室面临的诊断挑战。本研究的目的是在实时检测中评估奥普生物(Autobio)与布鲁克质谱系统在鉴定细菌和酵母菌方面的性能。分别通过直接涂片法或快速甲酸提取法,使用这两种系统对总共535株细菌和酵母菌进行了平行检测。通过16S、ITS rRNA或特定基因测序验证不一致的结果。除了在细菌鉴定方面与MBT智能系统给出可比结果外,奥普MS2600质谱仪在鉴定临床相关酵母菌物种方面具有出色的准确性。

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本文引用的文献

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Performance assessment of the Bruker Biotyper MALDI-TOF MS for the identification of difficult-to-identify viridans group streptococci.
J Clin Microbiol. 2023 Dec 19;61(12):e0114323. doi: 10.1128/jcm.01143-23. Epub 2023 Dec 1.
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Infect Drug Resist. 2023 Feb 15;16:913-921. doi: 10.2147/IDR.S352307. eCollection 2023.
4
Factors Associated With MALDI-TOF Mass Spectral Quality of Species Identification in Clinical Routine Diagnostics.
Front Cell Infect Microbiol. 2021 Mar 16;11:646648. doi: 10.3389/fcimb.2021.646648. eCollection 2021.
5
Comparison of Autof ms1000 and Bruker Biotyper MALDI-TOF MS Platforms for Routine Identification of Clinical Microorganisms.
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6
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Front Cell Infect Microbiol. 2021 Feb 18;11:628828. doi: 10.3389/fcimb.2021.628828. eCollection 2021.
7
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BMC Microbiol. 2020 Oct 20;20(1):318. doi: 10.1186/s12866-020-02005-0.
9
MALDI-TOF mass spectrometry in the 21st century clinical microbiology laboratory.
Enferm Infecc Microbiol Clin (Engl Ed). 2021 Apr;39(4):192-200. doi: 10.1016/j.eimc.2020.02.027. Epub 2020 Apr 25.
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