ArticleJournal of clinical microbiology2016
Evaluation of Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry for Identification of Mycobacterium abscessus Subspecies According to Whole-Genome Sequencing.
Article in Journal of clinical microbiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
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Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Diagnostic performance of MALDI-TOF MS for non-tuberculous mycobacteria: A systematic review and meta-analysis.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026Pooled it
- Lipid fingerprinting by MALDI Biotyper Sirius instrument fails to differentiate the three subspecies of theJournal of clinical microbiology · 2025Article
- Contribution of machine learning for subspecies identification from Mycobacterium abscessus with MALDI-TOF MS in solid and liquid media.Microbial biotechnology · 2024Article
- Identification of Mycobacterium abscessus using the peaks of ribosomal protein L29, L30 and hemophore-related protein by MALDI-MS proteotyping.Scientific reports · 2024Article
- Applications and advances in molecular diagnostics: revolutionizing non-tuberculous mycobacteria species and subspecies identification.Frontiers in public health · 2024Review
- Identification of Mycobacterium abscessus Subspecies by MALDI-TOF Mass Spectrometry and Machine Learning.Journal of clinical microbiology · 2023Article
- An Improved Method for Rapid Detection ofFrontiers in chemistry · 2021Article
- Construction and Application of MALDI-TOF Mass Spectrometry for the Detection of Haemophilus parasuis.BioMed research international · 2021Article
- Evaluation of matrix-assisted laser desorption/ionization time-of-flight mass spectrometry for identifying VIM- and SPM-type metallo-β-lactamase-producingInfection and drug resistance · 2019Article
- Evaluation of matrix-assisted laser desorption/ionization time-of-flight mass spectrometry for identifying Burkholderia pseudomallei and Burkholderia thailandensis isolates.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2019Article
- Evaluation of the VITEK MS knowledge base version 3.0 for the identification of clinically relevant Mycobacterium species.Emerging microbes & infections · 2018Article
- The Clarithromycin Susceptibility Genotype Affects the Treatment Outcome of Patients with Mycobacterium abscessus Lung Disease.Antimicrobial agents and chemotherapy · 2018Article
- Relationship between Antibiotic Susceptibility and Genotype inFrontiers in microbiology · 2017Article
Corrections and comments
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study was undertaken to evaluate the utility of matrix-assisted laser desorption ionization-time of flight mass spectrometry with the Vitek MS Plus system for identifying Mycobacterium abscessus subspecies in order to facilitate more rapid and appropriate therapy. A total of 175 clinical M. abscessus strains were identified by whole-genome sequencing analysis: 139 Mycobacterium abscessus subsp. abscessus and 36 Mycobacterium abscessus subsp. massiliense The research-use-only (RUO) Saramis Knowledge Base database v.4.12 was modified accordingly by adding 40 M. abscessus subsp. abscessus and 19 M. abscessus subsp. massiliense reference spectra to construct subspecies SuperSpectra. A blind test, used to validate the remaining 116 isolates, yielded 99.1% (n = 115) reliability and only 0.9% (n = 1) error for subspecies identification. Among the two subspecies SuperSpectra, two specific peaks were found for M. abscessus subsp. abscessus and four specific peaks were found for M. abscessus subsp. massiliense Our study is the first to report differential peaks 3,354.4 m/z and 6,711.1 m/z, which were specific for M. abscessus subsp. massiliense Our research demonstrates the capacity of the Vitek MS RUO Saramis Knowledge Base database to identify M. abscessus at the subspecies level. Moreover, it validates the potential ease and accuracy with which it can be incorporated into the IVD system for the identification of M. abscessus subspecies.
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