Noninvasive Recognition and Biomarkers of Early Allergic Asthma in Cats using Multivariate Statistics of NMR Spectra of Exhaled Breath Condensate
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ABSTRACT: Asthma is prevalent in children and cats, and needs means of noninvasive diagnosis. We sought to distinguish noninvasively the differences in 53 cats before and soon after induction of allergic asthma, using NMR spectra of exhaled breath condensate (EBC). Statistical pattern recognition was improved by preprocessing the spectra with glog transformation. Classification of the 106 preprocessed spectra by principal component analysis, partial least squares with discriminant analysis (PLS-DA), and multi-level PLS-DA appears to be impaired by variances unrelated to eosinophilic asthma. By subtracting out confounding variances, orthogonal signal correction (OSC) PLS-DA greatly improved the separation of the healthy and early asthmatic states, attaining 94% specificity and 71% sensitivity in predictions. OSC-PLS-DA results highlight the elevation of acetone in two-thirds of the cats with early asthma. Asthma also decreased at least a dozen compounds, especially carboxylic acids such as short chain fatty acids and amino acids. These trends suggest that a majority of the cats with allergic asthma underwent alteration of metabolic fluxes through pyruvate and acetyl-CoA to promote ketosis. The noninvasive detection of early experimental asthma, its biomarkers in EBC, and metabolic rerouting invite further investigation of the diagnostic potential in humans.
ORGANISM(S): Cat Felis Catus
TISSUE(S): Lung
DISEASE(S): Asthma
SUBMITTER: Steven Van Doren
PROVIDER: ST000406 | MetabolomicsWorkbench | Wed Apr 13 00:00:00 BST 2016
REPOSITORIES: MetabolomicsWorkbench
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