1. Prospective pilot study to detect dogs with non food-induced canine atopic dermatitis using Fourier transform infrared spectroscopy.
- Author
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Bruet V, Dumon H, Bourdeau P, Desfontis JC, and Martin L
- Subjects
- Animals, Dermatitis, Atopic diagnosis, Dogs, Female, Male, Pilot Projects, Dermatitis, Atopic veterinary, Dog Diseases diagnosis, Food Hypersensitivity veterinary, Spectroscopy, Fourier Transform Infrared veterinary
- Abstract
Background: The diagnosis of canine atopic dermatitis (CAD) remains challenging due to the lack of a simple biomarker or metabolic profile. In human medicine, Fourier transform infrared spectroscopy (FTIR) is an analytical technique used for several diseases. It requires a small amount of sample and allows the identification of structural moieties of biomolecules on the basis of their infrared absorption, with limited sample pretreatment., Hypothesis/objectives: The aim of the study was to evaluate the diagnostic value of FTIR., Animals: Three groups were tested: 21 dogs with non food-induced CAD (NFICAD), 16 dogs with inflammatory conditions of various origins but without allergic dermatoses (OD) and 10 healthy dogs (H)., Methods: Peripheral blood was collected and spectra were acquired with a FTIR spectrophotometer. A principal component analysis (PCA) was performed on the full wavenumber spectra (4000-600/cm), followed by a Fisher discriminant analysis (DA) to assess the differences between the three groups., Results: The PCA followed by the DA of whole spectra showed significant differences between the three groups. These results suggest that by using the FTIR method, dogs with NFICAD can be differentiated from healthy dogs and dogs with nonallergic inflammation. There was no overlap between the spectral data of the three groups indicating that NFICAD dogs were correctly segregated from the H and OD groups., Conclusions: A study on a larger cohort including common pruritic skin diseases is necessary to confirm these initial results and the relevance of this diagnostic technique., (© 2016 ESVD and ACVD.)
- Published
- 2016
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