ArticleEuropean journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology2023
Discrimination between hypervirulent and non-hypervirulent ribotypes of Clostridioides difficile by MALDI-TOF mass spectrometry and machine learning.
Article in European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A systematic review of machine learning on clinical MALDI-TOF MS.Briefings in bioinformatics · 2026Pooled it
- Accelerated detection ofMicrobiology spectrum · 2026Article
- Antibiotic resistance patterns, toxin profiles, and toxin gene expression levels among Clostridioides difficile PCR ribotypes isolated from patients scheduled for colonoscopy.Molecular biology reports · 2025Article
- Automated web-based typing of Clostridioides difficile ribotypes via MALDI-TOF MS.BMC bioinformatics · 2025Article
- MALDI-TOF mass spectrometry combined with machine learning algorithms to identify protein profiles related to malaria infection in human sera from Côte d'Ivoire.Malaria journal · 2025Article
- Reduced Vancomycin Susceptibility inOpen forum infectious diseases · 2024Article
- Regional and temporal genotype profiling of Clostridioides difficile in a multi-institutional study in Japan.Scientific reports · 2024Article
- Contribution of machine learning for subspecies identification from Mycobacterium abscessus with MALDI-TOF MS in solid and liquid media.Microbial biotechnology · 2024Article
- Emerging Diagnostics inInternational journal of molecular sciences · 2024Review
- Contribution of MALDI-TOF mass spectrometry and machine learning including deep learning techniques for the detection of virulence factors of Clostridioides difficile strains.Microbial biotechnology · 2024Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
Hypervirulent ribotypes (HVRTs) of Clostridioides difficile such as ribotype (RT) 027 are epidemiologically important. This study evaluated whether MALDI-TOF can distinguish between strains of HVRTs and non-HVRTs commonly found in Europe. Obtained spectra of clinical C. difficile isolates (training set, 157 isolates) covering epidemiologically relevant HVRTs and non-HVRTs found in Europe were used as an input for different machine learning (ML) models. Another 83 isolates were used as a validation set. Direct comparison of MALDI-TOF spectra obtained from HVRTs and non-HVRTs did not allow to discriminate between these two groups, while using these spectra with certain ML models could differentiate HVRTs from non-HVRTs with an accuracy >95% and allowed for a sub-clustering of three HVRT subgroups (RT027/RT176, RT023, RT045/078/126/127). MALDI-TOF combined with ML represents a reliable tool for rapid identification of major European HVRTs.
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