ArticleJournal of clinical microbiology2014
Classification algorithm for subspecies identification within the Mycobacterium abscessus species, based on matrix-assisted laser desorption ionization-time of flight mass spectrometry.
Article in Journal of clinical microbiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 3 of them syntheses that pooled it.
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Who cites it
41 citing papers in PubMed, 3 syntheses or guidelines pooled it, 85 citations in OpenAlex.
- Comparative evaluation of molecular technologies for the identification of prevalent non-tuberculous mycobacteria in pulmonary infections: a systematic review and meta-analysis.Annals of medicine · 2026Pooled 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
- Accuracy of Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry for Identification of Mycobacteria: a systematic review and meta-analysis.Scientific reports · 2018Pooled it
- Establishing a competence model in discriminatingBiomedical reports · 2026Article
- Lipid fingerprinting by MALDI Biotyper Sirius instrument fails to differentiate the three subspecies of theJournal of clinical microbiology · 2025Article
- Disseminated Mycobacterium abscessus infection with idiopathic CD4+ T-lymphocytopenia: a case report and review of the literature.Journal of medical case reports · 2024Review
- 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
- Improved MALDI-TOF MS Identification ofMicroorganisms · 2023Article
- Identification of Mycobacterium abscessus Subspecies by MALDI-TOF Mass Spectrometry and Machine Learning.Journal of clinical microbiology · 2023Article
- Diagnosis ofFrontiers in medicine · 2023Article
- Evaluation of MALDI Biotyper Mycobacteria Library for Identification of Nontuberculous Mycobacteria.Journal of clinical microbiology · 2022Article
- The Use of Comparative Genomic Analysis for the Development of Subspecies-Specific PCR Assays forFrontiers in cellular and infection microbiology · 2022Article
- Rapid Detection of Carbapenem-ResistantInfection and drug resistance · 2022Article
- Rapid Identification ofFrontiers in microbiology · 2022Article
- Host-Pathogen Interactions Operative duringImmune network · 2021Review
- Matrix-Assisted Laser Desorption/Ionization Time of Flight Mass Spectrometry (MALDI-TOF MS) Analysis for the Identification of Pathogenic Microorganisms: A Review.Microorganisms · 2021Review
- What Do We See in Spectra?: Assignment of High-Intensity Peaks ofMicroorganisms · 2021Article
- Bacterial species identification using MALDI-TOF mass spectrometry and machine learning techniques: A large-scale benchmarking study.Computational and structural biotechnology journal · 2021Article
- An Improved Method for Rapid Detection ofFrontiers in chemistry · 2021Article
Corrections and comments
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Authors and funding
8 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Mycobacterium abscessus, as a species, has been increasingly implicated in respiratory infections, notably in cystic fibrosis patients. The species comprises 3 subspecies, which can be difficult to identify. Since they differ in antibiotic susceptibility and clinical relevance, developing a routine diagnostic tool discriminating Mycobacterium abscessus at the subspecies level is a real challenge. Forty-three Mycobacterium abscessus species isolates, previously identified by multilocus sequence typing, were analyzed by matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS). A subspecies identification algorithm, based on five discriminating peaks, was drawn up and validated by blind identification of a further 49 strains, 94% of which (n = 46) were correctly identified. Two M. abscessus subsp. massiliense strains were misidentified as M. abscessus subsp. abscessus, and for 1 other strain identification failed. Inter- and intralaboratory reproducibility tests were conclusive. This study presents, for the first time, a classification algorithm for MALDI-TOF MS identification of the 3 M. abscessus subspecies. MALDI-TOF MS proved effective in discriminating within the M. abscessus species and might be easily integrated into the workflow of microbiology labs.
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