AI Article Synopsis
- This study explored using whole-genome sequencing (WGS) to predict antifungal resistance in Candida tropicalis strains resistant to anidulafungin.
- Next-generation sequencing was carried out on three resistant isolates, revealing specific mutations linked to their resistance.
- Results suggest that WGS can potentially be used to inform treatment decisions for patients with candidaemia as the technology advances.
Article Abstract
Objectives: This study investigated the feasibility of using whole-genome sequencing (WGS) for the prediction of antifungal resistance in anidulafungin-resistant Candida tropicalis candidaemia isolates.
Methods: Next-generation sequencing was performed for three anidulafungin-resistant C. tropicalis isolates on an Illumina MiSeq system with in-house bioinformatics analysis.
Results: Mutations in Fks1p associated with anidulafungin resistance were identified. Other mutations associated with varying levels of phenotypic resistance to fluconazole were also identified.
Conclusions: These data demonstrate the potential to predict antifungal resistance using WGS. With improving technology, real-time WGS may be used for tailoring effective antifungal therapy in patients with candidaemia.
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| http://dx.doi.org/10.1016/j.jgar.2018.12.010 | DOI Listing |
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