168
Views
4
CrossRef citations to date
0
Altmetric
Research Article

Lack of standardization in the procedures for mycological examination of sputum samples from CF patients: a possible cause for variations in the prevalence of filamentous fungi

, , , , , , , & show all
Pages S88-S97 | Received 01 Jun 2010, Accepted 24 Jul 2010, Published online: 10 Nov 2010
 

Abstract

Filamentous fungi and yeasts are increasingly isolated from respiratory secretions of patients with cystic fibrosis (CF), and persistent fungal colonization of the airways of such patients is thought to exacerbate lung damage. While many independent studies have identified Aspergillus fumigatus complex as the principal colonizing fungus in CF, increased awareness of the role of fungi in CF pathology coupled with improved mycological culture and identification methods have resulted in a number of other fungi being isolated and reported from CF sputum samples, including A. terreus, members of the Pseudallescheria boydii/Scedosporium apiospermum complex, Exophiala dermatitidis, Paecilomyces and Penicillium species. However, the range of fungal pathogens isolated and the relative prevalence of individual species vary widely between reports from different geographical CF centres, and as yet no standardized method for the mycological examination of CF sputum samples has been adopted. Here, we examine the potential contribution of the mycological methods employed to examine CF respiratory secretions relative to the variability in the fungal biota reported. The role of direct microscopic examination of respiratory samples and the impact of the culture conditions used on the detection of specific fungal pathogens are addressed, and the potential significance of isolation of yeast species from CF patient airways is discussed.

Acknowledgments

We wish to thank all of the members of the laboratories that have contributed data to this study.

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

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.