201. Diagnosis of Fusarium Infections: Approaches to Identification by the Clinical Mycology Laboratory
- Author
-
Jearidienne Iltes, Cees Waalwijk, Theo van der Lee, Anne D. van Diepeningen, and Balázs Brankovics
- Subjects
Fusariosis ,Fusarium ,FUSARIUM INFECTIONS ,Hypha ,Multi-locus sequence typing ,Keratitis ,Microbiology ,03 medical and health sciences ,Clinical observations ,Bioint Diagnostics ,Mycology ,medicine ,Bioint Diagnostics, Food Safety & Phyt. Research ,Hyaline ,030304 developmental biology ,Genetics ,0303 health sciences ,biology ,030306 microbiology ,DNA-based diagnostic tools ,Peptide-based diagnostic tools ,medicine.disease ,biology.organism_classification ,Advances in Diagnosis of Invasive Fungal Infections (S Chen, Section Editor) ,3. Good health ,Food Safety & Phyt. Research ,Infectious Diseases ,Identification (biology) ,Antifungal susceptibility - Abstract
Infections caused by the genus Fusarium have emerged over the past decades and range from onychomycosis and keratitis in healthy individuals to deep and disseminated infections with high mortality rates in immune-compromised patients. As antifungal susceptibility can differ between the different Fusarium species, identification at species level is recommended. Several clinical observations as hyaline hyphae in tissue, necrotic lesions in the skin and positive blood tests with fungal growth or presence of fungal cell wall components may be the first hints for fusariosis. Many laboratories rely on morphological identification, but especially multi-locus sequencing proves better to discriminate among members of the species complexes involved in human infection. DNA-based diagnostic tools have best discriminatory power when based on translation elongation factor 1-α or the RNA polymerase II second largest subunit. However, assays based on the detection of other fusarial cell compounds such as peptides and cell wall components may also be used for identification. The purpose of this review is to provide an overview and a comparison of the different tools currently available for the diagnosis of fusariosis.
- Published
- 2015