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  5. Studies of Serological Tests and Cutaneous Fungal Flora in Atopic Dogs
 
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Studies of Serological Tests and Cutaneous Fungal Flora in Atopic Dogs

Date Issued
2009
Date
2009
Author(s)
Lo, Pei-Ying
URI
http://ntur.lib.ntu.edu.tw//handle/246246/178929
Abstract
Atopic dermatitis is a common skin disease in dogs which is sensitized to environmental antigens and produces high level of immunoglobulin E (IgE) antibodies. In human patients, increasing total serum IgE concentrations represents a major empiric risk factor for development of atopic disease and was used as a diagnostic indicator of atopic dermatitis. Furthermore, severity of atopic dermatitis was found to be alleviated with management of dermatophytosis in atopic patients. This thesis includes 2 studies, the first study reported total serum IgE concentrations atopic dogs and dogs free from atopic dermatitis, correlation between total serum IgE concentrations and modified canine atopic dermatitis extent and severity index (CADESI), and sensitivity and specificity of allergen-specific IgE in detecting offending allergens against intradermal skin tests. The second study was to investigate the prevalence of Malassezia spp. and dermatophytes in atopic dogs and concordance between results of direct microscopic examination and fungal culture in diagnosis of dermatophytosis. Results of the first study suggested that total serum IgE concentrations could be a screening test and determine severity of atopic dermatitis in dogs received regular parasitic prophylactics, however the use of allergen-specific IgE tests might under-detect offending allergens. Results of the second study showed that the prevalence of dermatophytosis was higher than Malassezia dermatitis in atopic dogs in Taipei area. Comparing to fungal culture microscopic examination exhibited a higher sensitivity in diagnosis of dermatophytosis.
Subjects
atopic dogs
total serum IgE concentrations
allergen-specific IgE
dermatophytosis
Malassezia dermatitis
SDGs

[SDGs]SDG3

Type
thesis
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ntu-98-R95629003-1.pdf

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(MD5):af9df465581ff16890ef7560712a7b65

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