Detection of Active BoNT/C and D by EndoPep-MS Using MALDI Biotyper Instrument and Comparison with the Mouse Test Bioassay.
Ilenia DrigoElena TononSimone PascolettiFabrizio AnniballiSuzanne R KalbLuca BanoPublished in: Toxins (2020)
Botulinum neurotoxins (BoNTs) are among the most poisonous known biological substances, and therefore the availability of reliable, easy-to use tools for BoNT detection are important goals for food safety and human and animal health. The reference method for toxin detection and identification is the mouse bioassay (MBA). An EndoPep-MS method for BoNT differentiation has been developed based on mass spectrometry. We have validated and implemented the EndoPep-MS method on a Bruker MALDI Biotyper for the detection of BoNT/C and D serotypes. The method was extensively validated using experimentally and naturally contaminated samples comparing the results with those obtained with the MBA. Overall, the limit of detection (LoD) for both C and D toxins were less than or equal to two mouse lethal dose 50 (mLD50) per 500 µL for all tested matrices with the exception of feces spiked with BoNT/C which showed signals not-related to specific peptide fragments. Diagnostic sensitivity, specificity and positive predictive value were 100% (95% CI: 87.66-100%), 96.08% (95% CI: 86.54-99.52%), and 93.33% (95% CI: 78.25-98.20%), respectively, and accuracy was 97.47% (95% CI: 91.15-99.69%). In conclusion, the tests carried out showed that the EndoPep-MS method, initially developed using more powerful mass spectrometers, can be applied to the Bruker MALDI Biotyper instrument with excellent results including for detection of the proteolytic activity of BoNT/C, BoNT/D, BoNT/CD, and BoNT/DC toxins.
Keyphrases
- mass spectrometry
- loop mediated isothermal amplification
- real time pcr
- liquid chromatography
- label free
- multiple sclerosis
- healthcare
- public health
- multidrug resistant
- high performance liquid chromatography
- immune response
- dendritic cells
- drinking water
- social media
- risk assessment
- drug induced
- bioinformatics analysis