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Microfluidic Tools for Probing Fungal-Microbial Interactions at the Cellular Level
Published on: June 23, 2022
Systems biology of fungal infection
Fabian Horn1, Thorsten Heinekamp, Olaf Kniemeyer
1Systems Biology/Bioinformatics, Leibniz Institute for Natural Product Research and Infection Biology - Hans Knöll Institute Jena, Germany.
Abstract:
Elucidation of pathogenicity mechanisms of the most important human-pathogenic fungi, Aspergillus fumigatus and Candida albicans, has gained great interest in the light of the steadily increasing number of cases of invasive fungal infections. A key feature of these infections is the interaction of the different fungal morphotypes with epithelial and immune effector cells in the human host. Because of the high level of complexity, it is necessary to describe and understand invasive fungal infection by taking a systems biological approach, i.e., by a comprehensive quantitative analysis of the non-linear and selective interactions of a large number of functionally diverse, and frequently multifunctional, sets of elements, e.g., genes, proteins, metabolites, which produce coherent and emergent behaviors in time and space. The recent advances in systems biology will now make it possible to uncover the structure and dynamics of molecular and cellular cause-effect relationships within these pathogenic interactions. We review current efforts to integrate omics and image-based data of host-pathogen interactions into network and spatio-temporal models. The modeling will help to elucidate pathogenicity mechanisms and to identify diagnostic biomarkers and potential drug targets for therapy and could thus pave the way for novel intervention strategies based on novel antifungal drugs and cell therapy.
Insights
Systems biology approaches are crucial for understanding fungal infections caused by Aspergillus fumigatus and Candida albicans. Integrating omics and imaging data into models can reveal pathogenicity mechanisms and identify new therapeutic targets.
Area of Science:
- Mycology
- Infectious Diseases
- Systems Biology
Background:
- Invasive fungal infections (IFIs) caused by Aspergillus fumigatus and Candida albicans are increasing.
- Understanding host-pathogen interactions is key to combating IFIs.
- Fungal morphotypes interact with host epithelial and immune cells during infection.
Purpose of the Study:
- To review current efforts in applying systems biology to study fungal pathogenicity.
- To explore the integration of omics and image-based data for modeling host-pathogen interactions.
- To highlight the potential for identifying diagnostic biomarkers and therapeutic targets.
Main Methods:
- Review of current research integrating omics data (genomics, proteomics, metabolomics) and image-based data.
- Application of network and spatio-temporal modeling to analyze host-pathogen interactions.
- Quantitative analysis of complex, non-linear interactions between fungal and host elements.
Main Results:
- Systems biology enables a comprehensive understanding of the structure and dynamics of pathogenic interactions.
- Integration of diverse data types into models reveals molecular and cellular cause-effect relationships.
- Modeling facilitates the elucidation of fungal pathogenicity mechanisms.
Conclusions:
- Systems biology approaches are essential for unraveling complex fungal infections.
- Integrated modeling can identify novel diagnostic biomarkers and drug targets for antifungal therapies.
- This approach may lead to new intervention strategies, including novel antifungal drugs and cell therapy.
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