Isolamento de dermatófitos e fungos saprotróficos do pelame de gatos sem dermatoses na região metropolitana de Porto Alegre - RS, Brasil
Ferreiro, LaerteRoehe, CarlosDorneles, Andréia SpanambergMachado, GustavoFraga, Cibele FlorianoLupion, Camila GottliebBarroso, Gabriela JavornickSanches, Edna Maria Cavallini
Background: Dermatophytoses are one of the most frequent skin diseases of pets and livestock in the world. Contagionamong animal communities, difficulty in implementing control measures, and the eventual transmission of ringworm topeople explain its great importance. Microsporum canis causes a zoonosis that has increased in several countries, outnumbering classical anthropophilic dermatophytes. The objective of this study was to isolate dermatophytes from the hair coatof cats without skin disorders in the metropolitan area of Porto Alegre, south of Brazil, as well as evaluate the influenceof age, sex, hair length, habitat and access or not to the street as potential risk factors.Materials, Methods & Results: Samples were obtained from 191 cats with no skin disorders by rubbing sterilized carpetsquares on the cats skin (head, neck, dorsum, limbs and tail) and cultured for dermatophytes on Sabouraud dextrose agarwith chloramphenicol and cyclohexamide and incubated at 27°C for up to 21 days. Only the genus Microsporum (8,4%)was isolated from positive specimens: M. canis (5,8%) and M. gypseum (2,6%). On 15 samples (7,8%) there was no fungalgrowth. From the remaining 160 samples (83,8%), several saprotrophic fungi were isolated: hyaline filamentous fungi[Penicillium sp. (27), Aspergillus sp. (23), Scopulariopsis sp. (22), Acremonium sp. (10), Chrysosporium sp. (7), Paecilomyces sp. (7), Fusarium sp. (2) and unidentified hyalohyphomycetes (13)]; dematiaceous filamentous fungi [Cladosporiumsp. (39), Alternaria sp. (10), Curvularia sp. (10) and unidentified phaeohyphomycetes (14)]; Zygomycetes [Rhizopus sp.(2) and Mucor sp. (1)] and yeasts [Malassezia sp. (2) and Candida sp. (4)]. Inittialy, the possibility of association between predictors variables and a variable answer was evaluated by an univariate logistic regression model. Variables with...(AU)
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