title: Epithelial invasion outcompetes hypha development during Candida albicans infection as revealed by an image-based systems biology approach.
abstract: Candida albicans is the most common opportunistic fungal pathogen of the human mucosal flora, frequently causing infections. The fungus is responsible for invasive infections in immunocompromised patients that can lead to sepsis. The yeast to hypha transition and invasion of host-tissue represent major determinants in the switch from benign colonizer to invasive pathogen. A comprehensive understanding of the infection process requires analyses at the quantitative level. Utilizing fluorescence microscopy with differential staining, we obtained images of C. albicans undergoing epithelial invasion during a time course of 6 h. An image-based systems biology approach, combining image analysis and mathematical modeling, was applied to quantify the kinetics of hyphae development, hyphal elongation, and epithelial invasion. The automated image analysis facilitates high-throughput screening and provided quantities that allow for the time-resolved characterization of the morphological and invasive state of fungal cells. The interpretation of these data was supported by two mathematical models, a kinetic growth model and a kinetic transition model, that were developed using differential equations. The kinetic growth model describes the increase in hyphal length and revealed that hyphae undergo mass invasion of epithelial cells following primary hypha formation. We also provide evidence that epithelial cells stimulate the production of secondary hyphae by C. albicans. Based on the kinetic transition model, the route of invasion was quantified in the state space of non-invasive and invasive fungal cells depending on their number of hyphae. This analysis revealed that the initiation of hyphae formation represents an ultimate commitment to invasive growth and suggests that in vivo, the yeast to hypha transition must be under exquisitely tight negative regulation to avoid the transition from commensal to pathogen invading the epithelium.
authors.affiliation: Applied Systems Biology, Leibniz Institute for Natural Product Research and Infection Biology-Hans-Knöll-Institute (HKI) Jena, Germany; German Rheumatism Research Center a Leibniz Institute-DRFZ Berlin, Germany.
authors.forename: Franziska
authors.initials: F
authors.lastname: Mech
authors.forename: Duncan
authors.initials: D
authors.lastname: Wilson
authors.forename: Teresa
authors.initials: T
authors.lastname: Lehnert
authors.forename: Bernhard
authors.initials: B
authors.lastname: Hube
authors.forename: Marc
authors.initials: M
authors.lastname: Thilo Figge
mesh_terms: D002176:Candida albicans / Q000254:growth & development* / Q000648:ultrastructure; D002460:Cell Line; D003198:Computer Simulation; D004847:Epithelial Cells / Q000166:cytology / Q000382:microbiology*; D054884:Host-Pathogen Interactions; D006801:Humans; D025301:Hyphae / Q000254:growth & development* / Q000648:ultrastructure; D007091:Image Processing, Computer-Assisted; D007700:Kinetics; D015233:Models, Statistical; D009061:Mouth Mucosa / Q000166:cytology / Q000382:microbiology; D049490:Systems Biology; D014741:Video Recording
keywords: Candida albicans; cell morphology; image analysis; mathematical modeling; parameter estimation; systems biology