Abstract
Aspergillus fumigatus and Cryptococcus neoformans species infections are two of the most common life-threatening fungal infections in the immunocompromised population. Acute invasive pulmonary aspergillosis (IPA) and meningeal cryptococcosis are the most severe forms affecting patients with elevated associated mortality rates despite current treatments. As many unanswered questions remain concerning these fungal infections, additional research is greatly needed not only in clinical scenarios but also under controlled preclinical experimental settings to increase our understanding concerning their virulence, host–pathogen interactions, infection development, and treatments. Preclinical animal models are powerful tools to gain more insight into some of these needs. However, assessment of disease severity and fungal burden in mouse models of infection are often limited to less sensitive, single-time, invasive, and variability-prone techniques such as colony-forming unit counting. These issues can be overcome by in vivo bioluminescence imaging (BLI). BLI is a noninvasive tool that provides longitudinal dynamic visual and quantitative information on the fungal burden from the onset of infection and potential dissemination to different organs throughout the development of disease in individual animals. Hereby, we describe an entire experimental pipeline from mouse infection to BLI acquisition and quantification, readily available to researchers to provide a noninvasive, longitudinal readout of fungal burden and dissemination throughout the course of infection development, which can be applied for preclinical studies into pathophysiology and treatment of IPA and cryptococcosis in vivo.
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Acknowledgements
This work was supported by the Flemish Research Foundation (Fonds Wetenschappelijk Onderzoek, FWO, grants 1506114 N and G057721N). E.V. acknowledges support by an aspirant mandate from the FWO (ISF2222N).
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Resendiz-Sharpe, A., Vanhoffelen, E., Velde, G.V. (2023). Bioluminescence Imaging, a Powerful Tool to Assess Fungal Burden in Live Mouse Models of Infection. In: Drummond, R.A. (eds) Antifungal Immunity. Methods in Molecular Biology, vol 2667. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-3199-7_15
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DOI: https://doi.org/10.1007/978-1-0716-3199-7_15
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