ArticleScientific reports2018
Discrimination of contagious and environmental strains of Streptococcus uberis in dairy herds by means of mass spectrometry and machine-learning.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Development of long-term antimicrobial resistance patterns of bovine mastitis pathogens in north-western Germany from 2005 to 2023.Veterinary research communications · 2026Article
- Repurposing metformin as a dual-function agent to combat E. coli-induced mastitis: Mechanistic insights into biofilm dispersion and AMPK/SIRT1-mediated NF-κB inhibition.PLoS pathogens · 2026Article
- Occurrence of mastitis pathogens in cow's milk samples from the Hanover region, north-western Germany - an overview of routine laboratory data from 2005 to 2023.Veterinary research communications · 2025Article
- Article
- Application of MALDI-TOF MS to Identify and Detect Antimicrobial-ResistantMicroorganisms · 2024Article
- MSDeepAMR: antimicrobial resistance prediction based on deep neural networks and transfer learning.Frontiers in microbiology · 2024Article
- Promising potential of machine learning-assisted MALDI-TOF MS as an effective detector forApplied and environmental microbiology · 2023Article
- The protective role of caffeic acid on bovine mammary epithelial cells and the inhibition of growth and biofilm formation of Gram-negative bacteria isolated from clinical mastitis milk.Frontiers in immunology · 2022Article
- Rapid Detection of Carbapenem-ResistantInfection and drug resistance · 2022Article
- Over 20 Years of Machine Learning Applications on Dairy Farms: A Comprehensive Mapping Study.Sensors (Basel, Switzerland) · 2021Review
- Comparison of machine learning methods to predict udder health status based on somatic cell counts in dairy cows.Scientific reports · 2021Article
- Detection of Frozen-Thawed Duck Fatty Liver by MALDI-TOF Mass Spectrometry: A Chemometrics Study.Molecules (Basel, Switzerland) · 2021Article
- Mass spectrometry and machine learning for the accurate diagnosis of benzylpenicillin and multidrug resistance of Staphylococcus aureus in bovine mastitis.PLoS computational biology · 2021Article
- Prediction of Streptococcus uberis clinical mastitis treatment success in dairy herds by means of mass spectrometry and machine-learning.Scientific reports · 2021Article
- Research perspectives on animal health in the era of artificial intelligence.Veterinary research · 2021Review
- Bacterial species identification using MALDI-TOF mass spectrometry and machine learning techniques: A large-scale benchmarking study.Computational and structural biotechnology journal · 2021Article
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Streptococcus uberis is one of the most common pathogens of clinical mastitis in the dairy industry. Knowledge of pathogen transmission route is essential for the selection of the most suitable intervention. Here we show that spectral profiles acquired from clinical isolates using matrix-assisted laser desorption ionization/time of flight (MALDI-TOF) can be used to implement diagnostic classifiers based on machine learning for the successful discrimination of environmental and contagious S. uberis strains. Classifiers dedicated to individual farms achieved up to 97.81% accuracy at cross-validation when using a genetic algorithm, with Cohen's kappa coefficient of 0.94. This indicates the potential of the proposed methodology to successfully support screening at the herd level. A global classifier developed on merged data from 19 farms achieved 95.88% accuracy at cross-validation (kappa 0.93) and 70.67% accuracy at external validation (kappa 0.34), using data from another 10 farms left as holdout. This indicates that more work is needed to develop a screening solution successful at the population level. Significant MALDI-TOF spectral peaks were extracted from the trained classifiers. The peaks were found to correspond to bacteriocin and ribosomal proteins, suggesting that immunity, growth and competition over nutrients may be correlated to the different transmission routes.
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