268
Views
2
CrossRef citations to date
0
Altmetric
Rapid Communication

Correlation of antifungal susceptibility and molecular type within the Cryptococcus neoformans/C. gattii species complex

, , , &
Pages 328-332 | Received 16 Mar 2011, Accepted 28 Jun 2011, Published online: 23 Aug 2011
 

Abstract

Members of the Cryptococcus neoformans/C. gattii species complex are grouped into eight molecular types, differing in their epidemiology, disease severity and geographic range. Recent in vitro antifungal susceptibility studies of isolates of the complex revealed contradictory results. The objective of the present study was to assess if this variation is random or correlates with different molecular types by testing the in vitro antifungal susceptibility of 18 C. neoformans (VNI), 11 C. gattii (VGI) and 38 C. gattii (VGII) strains from Brazil to eight antifungal drugs using the CLSI microdilution method. We herein report that the molecular type VGII is the least susceptible genotype, followed by VGI and VNI. This indicates a clear correlation between antifungal susceptibilities and genotypes of the causative cryptococcosis agents, emphasizing the importance of determining the molecular type as part of the clinical diagnostic process to enable an informed decision as to the most appropriate antifungal treatment.

Acknowledgements

This work was supported by a University of Sydney Bridging grant (# 100124681) to WM and by “Programa de Indução à Pesquisa e Desenvolvimento Tecnológico” grant from Brazil to ML. We thank Raquel de Oliveira for the statistical help.

Declaration of interest: The other authors report no conflicts of interest. The authors alone are responsible for the content and writing of the paper.

This paper was first published online on Early Online on 22 August 2011.

Log in via your institution

Log in to Taylor & Francis Online

There are no offers available at the current time.

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.