1. Discrimination between hypervirulent and non-hypervirulent ribotypes of Clostridioides difficile by MALDI-TOF mass spectrometry and machine learning.
- Author
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Abdrabou, Ahmed Mohamed Mostafa, Sy, Issa, Bischoff, Markus, Arroyo, Manuel J., Becker, Sören L., Mellmann, Alexander, von Müller, Lutz, Gärtner, Barbara, and Berger, Fabian K.
- Subjects
CLOSTRIDIOIDES difficile ,MACHINE learning ,MASS spectrometry ,ANAEROBIC bacteria - 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. [ABSTRACT FROM AUTHOR]
- Published
- 2023
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