Epidemiology and Diagnostic Perspectives of Dermatophytoses

Autor(es)

Petrucelli, Monise Fazolin ^[1] ; de Abreu, Mariana Heinzen ^[1] ; Michelotto Cantelli, Bruna Aline ^[1] ; Segura, Gabriela Gonzalez ^[1] ; Nishimura, Felipe Garcia ^[1] ; Bitencourt, Tamires Aparecida ^{[2, 3, 1]} ; Marins, Mozart ^[1] ; Fachin, Ana Lucia ^[1]

Afiliação do(s) autor(es)

^[1] Univ Ribeirao Preto, Biotechnol Unit, Av Costabile Romano 2201, BR-14096900 Ribeirao Preto, SP - Brazil

^[2] Univ Sao Paulo, Ribeirao Preto Med Sch, Dept Genet, BR-14049900 Ribeirao Preto, SP - Brazil

^[3] Univ Sao Paulo, Ribeirao Preto Med Sch, Dept Biochem & Immunol, BR-14049900 Ribeirao Preto, SP - Brazil

• Tipo de documento: Artigo de Revisão
• Fonte: JOURNAL OF FUNGI; v. 6, n. 4 DEC 2020.
• Citações Web of Science: 0

Resumo

Dermatophytoses affect about 25% of the world population, and the filamentous fungus Trichophyton rubrum is the main causative agent of this group of diseases. Dermatomycoses are caused by pathogenic fungi that generally trigger superficial infections and that feed on keratinized substrates such as skin, hair, and nails. However, there are an increasing number of reports describing dermatophytes that invade deep layers such as the dermis and hypodermis and that can cause deep infections in diabetic and immunocompromised patients, as well as in individuals with immunodeficiency. Despite the high incidence and importance of dermatophytes in clinical mycology, the diagnosis of this type of infection is not always accurate. The conventional methods most commonly used for mycological diagnosis are based on the identification of microbiological and biochemical features. However, in view of the limitations of these conventional methods, molecular diagnostic techniques are increasingly being used because of their higher sensitivity, specificity and rapidity and have become more accessible. The most widely used molecular techniques are conventional PCR, quantitative PCR, multiplex PCR, nested, PCR, PCR-RFLP, and PCR-ELISA. Another promising technique for the identification of microorganisms is the analysis of protein profiles by MALDI-TOF MS. Molecular techniques are promising but it is necessary to improve the quality and availability of the information in genomic and proteomic databases in order to streamline the use of bioinformatics in the identification of dermatophytes of clinical interest. (AU)

• Processo FAPESP: 19/10514-8 - Triagem de novas moléculas antifúngicas e caracterização do processo de patogenicidade no dermatófito Trichophyton rubrum
• Beneficiário: Ana Lucia Fachin Saltoratto
• Modalidade de apoio: Auxílio à Pesquisa - Regular