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Assessment of the molecular identification algorithm and its impact on antifungal susceptibilities against clinical
Pao-Yu Chen1, Chi-Jung Wu2,3, Un-In Wu1
1Division of Infectious Diseases, Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan.
Objectives:
Invasive fusariosis is rising and poses challenges due to species complexity and antifungal resistance. In vitro susceptibilities of new antifungals against Fusarium isolates are seldomly evaluated in Asia. This study aimed to evaluate a two-step molecular identification algorithm and to perform in vitro antifungal susceptibility with correlation of species and susceptibility patterns.
Methods:
Fusarium clinical isolates collected at three hospitals in Taiwan (2011-2023) were identified to species level using sequential ITS and TEF1α sequencing (step I), followed by RBP2 sequencing (step II) for inconclusive isolates. Minimum effective/inhibitory concentrations (MECs/MICs) of manogepix, olorofim, amphotericin B and voriconazole were determined by EUCAST method (E.Def 9.4).
Results:
Of 103 isolates (37 blood and 66 cornea isolates) evaluated, the two-step algorithm achieved >90% to species level. Fusarium solani species complex (FSSC) was predominant, especially in blood isolates (86.5% versus 65.2% in cornea isolates; P = 0.02). The rest 28 isolates belonged to 12 species within six species complexes (SCs). Manogepix exhibited potent activity against all isolates (MEC ≤0.015 mg/L), while olorofim activities varied by SCs, with MIC ≤0.25 mg/L against Fusarium fujikuroi SC. FSSC displayed higher voriconazole and amphotericin B MICs compared with other SCs, with Neocosmospora keratoplastica displaying a highest amphotericin B modal MIC of 4 mg/L. Four major Neocosmospora species showed voriconazole MIC ≥16 mg/L.
Conclusions:
Our findings indicated the two-step molecular algorithm accurately identifies Fusarium to species level. Further, we underscored the significance of considering both Fusarium SCs and species for predicting antifungal susceptibility, particularly to olorofim and amphotericin B.
Insights
A new molecular method accurately identifies invasive Fusarium species. Antifungal susceptibility varied by species complex, highlighting the need for species-specific treatment strategies against Fusarium infections.
Area of Science:
- Medical Mycology
- Molecular Biology
- Antimicrobial Resistance
Background:
- Invasive fusariosis is a growing concern due to complex Fusarium species and increasing antifungal resistance.
- Limited data exists on the in vitro susceptibility of newer antifungals against Asian Fusarium isolates.
Purpose of the Study:
- To evaluate a two-step molecular identification algorithm for Fusarium species.
- To determine the in vitro antifungal susceptibility of clinical Fusarium isolates.
- To correlate species and susceptibility patterns.
Main Methods:
- A two-step algorithm using ITS, TEF1α, and RBP2 sequencing for Fusarium identification.
- In vitro antifungal susceptibility testing (MECs/MICs) by EUCAST method.
- Testing manogepix, olorofim, amphotericin B, and voriconazole.
Main Results:
- The two-step algorithm achieved >90% accuracy in species-level identification of 103 Fusarium isolates.
- Fusarium solani species complex (FSSC) was predominant, especially in blood isolates.
- Manogepix showed potent activity against all isolates; olorofim activity varied by species complex.
- FSSC exhibited higher voriconazole and amphotericin B MICs, with specific Neocosmospora species showing high resistance.
Conclusions:
- The evaluated molecular algorithm is accurate for Fusarium species identification.
- Antifungal susceptibility is significantly influenced by Fusarium species complex and specific species.
- Tailoring antifungal therapy based on species identification is crucial for effective treatment of invasive fusariosis.
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