LAP-MALDI MS profiling and identification of potential biomarkers for the detection of bovine tuberculosis
Lellman, S. E., Reynolds, C. K.
It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing. To link to this item DOI: 10.1021/acs.jafc.3c01879 Abstract/SummaryDetecting bovine tuberculosis (bTB) primarily relies on the tuberculin skin test, requiring two separate animal handling events with a period of incubation time (normally 3 days) between them. Here, we present the use of liquid atmospheric pressure (LAP)-MALDI for the identification of bTB infection, employing a 3-class prediction model that was obtained by supervised linear discriminant analysis (LDA) and tested with bovine mastitis samples as disease-positive controls. Non-invasive collection of nasal swabs was used to collect samples, which were subsequently subjected to a short (<4 hours) sample preparation method. Cross-validation of the 3-class LDA model from the processed nasal swabs provided a sensitivity of 75.0% and specificity of 90.1%, with an overall classification accuracy of 85.7%. These values are comparable to those for the skin test, showing that LAP-MALDI MS has the potential to provide an alternative single-visit diagnostic platform that can detect bTB within the same day of sampling.
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