Literature DB >> 29367300

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.

David Rodriguez-Temporal1,2, Daniel Perez-Risco1,2, Eduardo A Struzka1, Mireia Mas1, Fernando Alcaide3,2.   

Abstract

Matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) has proved to be a useful diagnostic method for identifying conventional bacteria. In the case of mycobacteria, a good protein extraction protocol is essential in order to obtain reliable identification results. To date, no such protocol has been definitively established. The aim of this study was to compare the manufacturer's recommended protein extraction protocol (protocol A) with two novel protocols (protocols B and C), which apply different freezing temperatures and mechanical disruption times using an automatic tissue homogenizer. A total of 302 clinical isolates, comprising 41 nontuberculous mycobacteria (NTM) species, were grown in parallel on solid and liquid media and analyzed: 174 isolates were slow-growing mycobacteria (SGM) and 128 isolates were rapid-growing mycobacteria (RGM). Overall, MALDI-TOF MS identified a higher number of NTM isolates from solid than from liquid media, especially with protocol C (83.4 and 68.2%, respectively; P < 0.05). From solid media, this protein extraction method identified 57.9 and 3.9% more isolates than protocols A (P < 0.001) and B (P < 0.05), respectively. In the case of liquid media, protocol C identified 49.7 and 6.3% more isolates than protocols A and B, respectively (P < 0.001). With regard to the growth rate, MALDI-TOF MS identified more RGM isolates than SGM isolates in all of the protocols studied. In conclusion, the application of freezing and automatic tissue homogenizer improved protein extraction of NTM and boosted identification rates. Consequently, MALDI-TOF MS, which is a cheap and simple method, could be a helpful tool for identifying NTM species in clinical laboratories.
Copyright © 2018 American Society for Microbiology.

Entities:  

Keywords:  MALDI-TOF; identification; mass spectrometry; nontuberculous mycobacteria; protein extraction protocol

Mesh:

Substances:

Year:  2018        PMID: 29367300      PMCID: PMC5869846          DOI: 10.1128/JCM.01548-17

Source DB:  PubMed          Journal:  J Clin Microbiol        ISSN: 0095-1137            Impact factor:   5.948


  27 in total

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Journal:  J Clin Microbiol       Date:  2010-10-13       Impact factor: 5.948

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Review 3.  An official ATS/IDSA statement: diagnosis, treatment, and prevention of nontuberculous mycobacterial diseases.

Authors:  David E Griffith; Timothy Aksamit; Barbara A Brown-Elliott; Antonino Catanzaro; Charles Daley; Fred Gordin; Steven M Holland; Robert Horsburgh; Gwen Huitt; Michael F Iademarco; Michael Iseman; Kenneth Olivier; Stephen Ruoss; C Fordham von Reyn; Richard J Wallace; Kevin Winthrop
Journal:  Am J Respir Crit Care Med       Date:  2007-02-15       Impact factor: 21.405

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Authors:  F Alcaide; M J Peña; D Pérez-Risco; D Camprubi; L Gonzalez-Luquero; M D Grijota-Camino; J Dorca; M Santin
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5.  Impact of updating the MALDI-TOF MS database on the identification of nontuberculous mycobacteria.

Authors:  D Rodriguez-Temporal; D Perez-Risco; E A Struzka; M Mas; F Alcaide
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Review 6.  MALDI-TOF MS for the diagnosis of infectious diseases.

Authors:  Robin Patel
Journal:  Clin Chem       Date:  2014-10-02       Impact factor: 8.327

7.  Identification of mycobacterial species by comparative sequence analysis of the RNA polymerase gene (rpoB).

Authors:  B J Kim; S H Lee; M A Lyu; S J Kim; G H Bai; G T Chae; E C Kim; C Y Cha; Y H Kook
Journal:  J Clin Microbiol       Date:  1999-06       Impact factor: 5.948

8.  Implementation of MALDI-TOF MS technology for the identification of clinical isolates of Mycobacterium spp. in mycobacterial diagnosis.

Authors:  G Tudó; M R Monté; A Vergara; A López; J C Hurtado; M Ferrer-Navarro; J Vila; J Gonzalez-Martin
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2015-04-26       Impact factor: 3.267

9.  hsp65 sequencing for identification of rapidly growing mycobacteria.

Authors:  H Ringuet; C Akoua-Koffi; S Honore; A Varnerot; V Vincent; P Berche; J L Gaillard; C Pierre-Audigier
Journal:  J Clin Microbiol       Date:  1999-03       Impact factor: 5.948

10.  Mycobacterium setense sp. nov., a Mycobacterium fortuitum-group organism isolated from a patient with soft tissue infection and osteitis.

Authors:  Brigitte Lamy; Hélène Marchandin; Kamel Hamitouche; Frédéric Laurent
Journal:  Int J Syst Evol Microbiol       Date:  2008-02       Impact factor: 2.747

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2.  Mycobacterium chimaera Identification Using MALDI-TOF MS Technology: A Practical Approach for the Clinical Microbiology Laboratories.

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4.  Multicentre study on the reproducibility of MALDI-TOF MS for nontuberculous mycobacteria identification.

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6.  MALDI-TOF Mass Spectrometry as a Rapid Screening Alternative for Non-tuberculous Mycobacterial Species Identification in the Veterinary Laboratory.

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

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