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Updated: Feb 12, 2026

Candida albicans Biofilm Chip CaBChip for High-throughput Antifungal Drug Screening
Published on: July 18, 2012
Bioluminescence imaging increases in vivo screening efficiency for antifungal activity against device-associated
Greetje Vande Velde1, Soňa Kucharíková2, Patrick Van Dijck2
1Biomedical MRI/moSAIC, Department of Imaging & Pathology, KU Leuven, Leuven, Belgium.
Abstract:
Fungal infections are a major problem for a growing number of mostly immunocompromised patients. Candida albicans is an important human fungal pathogen causing mucosal and deep tissue infections, of which the majority are associated with biofilm formation on medical implants. Animal models that are currently in use to test antifungal drugs are limited to ex vivo analyses, requiring host sacrifice that excludes longitudinal monitoring of dynamic processes during biofilm formation in the live host. As a solution, we introduce non-invasive, dynamic imaging and quantification of C. albicans biofilm formation in vivo and subsequent evaluation of treatment efficacy against these biofilms using bioluminescent C. albicans in a catheter-associated mouse model. Bioluminescence imaging (BLI) allowed us to evaluate baseline biofilm load before the start of therapy, which is necessary for correct evaluation and interpretation of antibiofilm efficacy in vivo. Moreover, we demonstrate that this BLI approach monitors the antibiofilm activity of different antifungal agents efficiently in vitro and in vivo. In this study, BLI revealed superior antibiofilm activity for echinocandins compared with amphotericin B and fluconazole. In vitro, anidulafungin showed the highest antibiofilm activity, followed by micafungin and caspofungin. In vivo, caspofungin significantly decreased the biofilm fungal load, as documented by the lower BLI signal and confirmed by CFU counts. In conclusion, this BLI approach increases the power and efficiency of screening and validation of antimycotics both under in vitro and in vivo conditions, thereby refining pre-clinical therapy studies.
Insights
Bioluminescence imaging (BLI) enables non-invasive monitoring of Candida albicans biofilms in vivo. This method efficiently evaluates antifungal drug efficacy, revealing echinocandins as superior to amphotericin B and fluconazole.
Area of Science:
- Medical Mycology
- Infectious Diseases
- Biotechnology
Background:
- Fungal infections, particularly Candida albicans, pose significant threats to immunocompromised patients.
- Candida albicans biofilms on medical implants are a major cause of persistent infections.
- Current animal models for antifungal drug testing lack longitudinal monitoring capabilities.
Purpose of the Study:
- To develop and validate a non-invasive bioluminescence imaging (BLI) method for dynamic in vivo monitoring of Candida albicans biofilms.
- To assess the efficacy of antifungal agents against established biofilms using BLI in a catheter-associated mouse model.
- To compare the antibiofilm activity of echinocandins, amphotericin B, and fluconazole.
Main Methods:
- Development of a bioluminescent Candida albicans strain for in vivo imaging.
- Establishment of a catheter-associated mouse model to study biofilm formation.
- Application of BLI for real-time quantification of biofilm load before and during antifungal treatment.
- Validation of BLI findings with colony-forming unit (CFU) counts.
Main Results:
- BLI allows for baseline biofilm load assessment, crucial for interpreting treatment efficacy.
- The BLI approach effectively monitors the in vitro and in vivo antibiofilm activity of antifungal agents.
- Echinocandins demonstrated superior antibiofilm activity compared to amphotericin B and fluconazole.
- In vivo, caspofungin significantly reduced biofilm fungal load, confirmed by BLI and CFU counts.
Conclusions:
- BLI provides a powerful and efficient non-invasive tool for screening and validating antimycotic drugs.
- This approach refines pre-clinical therapy studies by enabling dynamic monitoring of antifungal treatment in vivo.
- BLI enhances the evaluation of antibiofilm efficacy in complex host-associated infection models.
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