Delay in effective therapy in anidulafungin-resistant Candida tropicalis fungaemia: Potential for rapid prediction of antifungal resistance with whole-genome-sequencing. (March 2019)

• Record Type: Journal Article
• Authors: Chew, Ka Lip; Octavia, Sophie; Lin, Raymond Tzer Pin; Yan, Gabriel Zherong; Teo, Jeanette Woon Pei
• Is Part Of: Journal of global antimicrobial resistance. Volume 16(2019)
• Page Start: 105
• Page End: 107
• Publication Date: 2019-03
• Subjects: Candida -- Fungaemia -- Whole-genome sequencing -- Echinocandin -- Drug resistance; Drug resistance -- Periodicals; Drug resistance -- Periodicals; Drug resistance; Periodicals; 616.9041
• DOI: 10.1016/j.jgar.2018.12.010
• Languages: English
• ISSNs: 2213-7165

Abstract

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.