Novel in vitro diagnosis of equine allergies using a protein array and mathematical modelling approach: a proof of concept using insect bite hypersensitivity

Marti, E., Wang, X., Jambari, N.N., Rhyner, C., Olzhausen, J., Pérez-Barea, J.J., Figueredo, Grazziela P. and Alcocer, Marcos J.C. (2015) Novel in vitro diagnosis of equine allergies using a protein array and mathematical modelling approach: a proof of concept using insect bite hypersensitivity. Veterinary Immunology and Immunopathology, 167 (3-4). pp. 171-177. ISSN 1873-2534

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Abstract

Insect bite hypersensitivity (IBH) is a seasonal recurrent skin allergy of horses caused by IgE-mediated reactions to allergens present in the saliva of biting insects of the genus Culicoides, and possibly also Simulium and Stomoxys species. In this work we show that protein microarrays containing complex extracts and pure proteins, including recombinant Culicoides allergens, can be used as a powerful technique for the diagnosis of IBH. Besides the obvious advantages such as general profiling and use of few microliters of samples, this microarray technique permits automation and allows the generation of mathematical models with the calculation of individual risk profiles that can support the clinical diagnosis of allergic diseases. After selection of variables on influence on the projection (VIP), the observed values of sensitivity and specificity were 1.0 and 0.967, respectively. This confirms the highly discriminatory power of this approach for IBH and made it possible to attain a robust predictive mathematical model for this disease. It also further demonstrates the specificity of the protein array method on identifying a particular IgE-mediated disease when the sensitising allergen group is known.

Item Type: Article
RIS ID: https://nottingham-repository.worktribe.com/output/763726
Keywords: Protein array; Allergens; Chemometrics; IgE; Horse
Schools/Departments: University of Nottingham, UK > Faculty of Science > School of Biosciences
University of Nottingham, UK > Faculty of Science > School of Computer Science
Identification Number: https://doi.org/10.1016/j.vetimm.2015.06.013
Depositing User: Patrocinio Figueredo, Grazziela
Date Deposited: 26 Feb 2018 10:22
Last Modified: 04 May 2020 17:19
URI: https://eprints.nottingham.ac.uk/id/eprint/49964

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