Literature DB >> 24259441

Epithelial invasion outcompetes hypha development during Candida albicans infection as revealed by an image-based systems biology approach.

Franziska Mech1, Duncan Wilson, Teresa Lehnert, Bernhard Hube, Marc Thilo Figge.   

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.
© 2013 International Society for Advancement of Cytometry.

Entities:  

Keywords:  Candida albicans; cell morphology; image analysis; mathematical modeling; parameter estimation; systems biology

Mesh:

Year:  2013        PMID: 24259441     DOI: 10.1002/cyto.a.22418

Source DB:  PubMed          Journal:  Cytometry A        ISSN: 1552-4922            Impact factor:   4.355


  16 in total

1.  Distinct roles of Candida albicans-specific genes in host-pathogen interactions.

Authors:  Duncan Wilson; François L Mayer; Pedro Miramón; Francesco Citiulo; Silvia Slesiona; Ilse D Jacobsen; Bernhard Hube
Journal:  Eukaryot Cell       Date:  2014-03-07

2.  Comparative assessment of immune evasion mechanisms in human whole-blood infection assays by a systems biology approach.

Authors:  Teresa Lehnert; Maria T E Prauße; Kerstin Hünniger; Jan-Philipp Praetorius; Oliver Kurzai; Marc Thilo Figge
Journal:  PLoS One       Date:  2021-04-01       Impact factor: 3.240

Review 3.  Host-pathogen interactions between the human innate immune system and Candida albicans-understanding and modeling defense and evasion strategies.

Authors:  Sybille Dühring; Sebastian Germerodt; Christine Skerka; Peter F Zipfel; Thomas Dandekar; Stefan Schuster
Journal:  Front Microbiol       Date:  2015-06-30       Impact factor: 5.640

4.  Bottom-up modeling approach for the quantitative estimation of parameters in pathogen-host interactions.

Authors:  Teresa Lehnert; Sandra Timme; Johannes Pollmächer; Kerstin Hünniger; Oliver Kurzai; Marc Thilo Figge
Journal:  Front Microbiol       Date:  2015-06-19       Impact factor: 5.640

5.  Automated quantification of the phagocytosis of Aspergillus fumigatus conidia by a novel image analysis algorithm.

Authors:  Kaswara Kraibooj; Hanno Schoeler; Carl-Magnus Svensson; Axel A Brakhage; Marc Thilo Figge
Journal:  Front Microbiol       Date:  2015-06-09       Impact factor: 5.640

6.  Deciphering chemokine properties by a hybrid agent-based model of Aspergillus fumigatus infection in human alveoli.

Authors:  Johannes Pollmächer; Marc Thilo Figge
Journal:  Front Microbiol       Date:  2015-05-28       Impact factor: 5.640

7.  Modelling the host-pathogen interactions of macrophages and Candida albicans using Game Theory and dynamic optimization.

Authors:  Sybille Dühring; Jan Ewald; Sebastian Germerodt; Christoph Kaleta; Thomas Dandekar; Stefan Schuster
Journal:  J R Soc Interface       Date:  2017-07       Impact factor: 4.118

8.  Characterisation of Aspergillus fumigatus Endocytic Trafficking within Airway Epithelial Cells Using High-Resolution Automated Quantitative Confocal Microscopy.

Authors:  Nagwa Ben-Ghazzi; Sergio Moreno-Velásquez; Constanze Seidel; Darren Thomson; David W Denning; Nick D Read; Paul Bowyer; Sara Gago
Journal:  J Fungi (Basel)       Date:  2021-06-07

9.  A virtual infection model quantifies innate effector mechanisms and Candida albicans immune escape in human blood.

Authors:  Kerstin Hünniger; Teresa Lehnert; Kristin Bieber; Ronny Martin; Marc Thilo Figge; Oliver Kurzai
Journal:  PLoS Comput Biol       Date:  2014-02-20       Impact factor: 4.475

Review 10.  Essential metals at the host-pathogen interface: nutritional immunity and micronutrient assimilation by human fungal pathogens.

Authors:  Aaron Crawford; Duncan Wilson
Journal:  FEMS Yeast Res       Date:  2015-08-04       Impact factor: 2.796

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