Literature DB >> 25540267

Matrix-assisted laser desorption/ionisation time-of-flight (MALDI-TOF) mass spectrometry (MS) for the identification of mycobacteria from MBBacT ALERT 3D liquid cultures and Lowenstein-Jensen (LJ) solid cultures.

Patricia Quinlan1, Elaine Phelan1, Maeve Doyle1.   

Abstract

AIMS: Conventional methods for the identification of mycobacteria can be demanding and prolonged. Molecular methodologies, although rapid, are expensive and often exclusive to reference laboratories. Matrix-assisted laser desorption/ionisation time-of-flight mass spectrometry (MALDI-TOF MS) presents a possible alternative method for the identification and differentiation of mycobacteria. This study describes the design and validation of a mycobacteria inactivation protocol and subsequent evaluation of MALDI-TOF MS for the identification of mycobacteria in a clinical microbiology laboratory setting.
METHODS: A total of 65 non-tuberculous mycobacteria (NTM) isolates and 86 Mycobacterium tuberculosis complex (MTC) isolates were tested on the Bruker MALDI Biotyper Microflex, V.3.1. NTM solid-culture (Lowenstein-Jensen, LJ slopes) isolates (n=21) and liquid-culture (MBBacT ALERT 3D bottles) isolates (n=44) were tested. MTC solid-culture isolates (n=30) and liquid-culture isolates (n=56) were also tested. Isolates were subjected to the validated inactivation protocol and analysed on the MALDI-TOF MS instrument.
RESULTS: The inactivation protocol designed was successfully validated and applied to all test isolates. MALDI-TOF MS correctly identified 82.8% of all isolates analysed; 96.7% and 96.4% of MTC isolates and 76.2% and 52.3% of NTM isolates were successfully identified from solid and liquid culture, respectively. MALDI-TOF MS failed to identify 35.4% (n=23) of NTM isolates and 3.5% (n=3) of MTC isolates.
CONCLUSIONS: MALDI-TOF MS has potential for identifying mycobacteria in the clinical laboratory setting, by reducing identification turnaround time and laboratory costs in isolate referral. Isolates that failed to be identified are explained by limitations of the method. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

Entities:  

Keywords:  LABORATORY TESTS; MICROBIOLOGY; MYCOBACTERIA

Mesh:

Substances:

Year:  2014        PMID: 25540267     DOI: 10.1136/jclinpath-2014-202374

Source DB:  PubMed          Journal:  J Clin Pathol        ISSN: 0021-9746            Impact factor:   3.411


  8 in total

1.  Evaluation of MALDI Biotyper Interpretation Criteria for Accurate Identification of Nontuberculous Mycobacteria.

Authors:  David Rodriguez-Temporal; Belén Rodríguez-Sánchez; Fernando Alcaide
Journal:  J Clin Microbiol       Date:  2020-09-22       Impact factor: 5.948

2.  Comparison of Saramis 4.12 and IVD 3.0 Vitek MS Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry for Identification of Mycobacteria from Solid and Liquid Culture Media.

Authors:  Caroline Leyer; Guillaume Gregorowicz; Faiza Mougari; Laurent Raskine; Emmanuelle Cambau; Dominique de Briel
Journal:  J Clin Microbiol       Date:  2017-04-19       Impact factor: 5.948

3.  Evaluation of Two Protein Extraction Protocols Based on Freezing and Mechanical Disruption for Identifying Nontuberculous Mycobacteria by Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry from Liquid and Solid Cultures.

Authors:  David Rodriguez-Temporal; Daniel Perez-Risco; Eduardo A Struzka; Mireia Mas; Fernando Alcaide
Journal:  J Clin Microbiol       Date:  2018-03-26       Impact factor: 5.948

4.  Accuracy of Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry for Identification of Mycobacteria: a systematic review and meta-analysis.

Authors:  Yan Cao; Lei Wang; Ping Ma; Wenting Fan; Bing Gu; Shaoqing Ju
Journal:  Sci Rep       Date:  2018-03-07       Impact factor: 4.379

5.  A case of pleural effusion caused by Mycobacterium fortuitum and Mycobacterium mageritense coinfection.

Authors:  Ryosuke Hirabayashi; Atsushi Nakagawa; Hiroshi Takegawa; Keisuke Tomii
Journal:  BMC Infect Dis       Date:  2019-08-15       Impact factor: 3.090

6.  Substantial Improvement in Nontuberculous Mycobacterial Identification Using ASTA MicroIDSys Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry with an Upgraded Database.

Authors:  Junhyup Song; Shinyoung Yoon; Yongha In; Daewon Kim; Hyukmin Lee; Dongeun Yong; Kyoungwon Lee
Journal:  Ann Lab Med       Date:  2022-05-01       Impact factor: 3.464

Review 7.  Revisiting the methods for detecting Mycobacterium tuberculosis: what has the new millennium brought thus far?

Authors:  Thales Alves Campelo; Paulo Rafael Cardoso de Sousa; Lucas de Lima Nogueira; Cristiane Cunha Frota; Paulo Renato Zuquim Antas
Journal:  Access Microbiol       Date:  2021-08-02

8.  Performance of lipid fingerprint-based MALDI-ToF for the diagnosis of mycobacterial infections.

Authors:  Ximena Gonzalo; Agnieszka Broda; Francis Drobniewski; Gerald Larrouy-Maumus
Journal:  Clin Microbiol Infect       Date:  2020-08-27       Impact factor: 8.067

  8 in total

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