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Measuring Phagocytosis of Aspergillus fumigatus Conidia by Human Leukocytes using Flow Cytometry
Published on: December 7, 2019
Automated image analysis of the host-pathogen interaction between phagocytes and Aspergillus fumigatus
Franziska Mech1, Andreas Thywissen, Reinhard Guthke
1Research Group Applied Systems Biology, Leibniz Institute for Natural Product Research and Infection Biology-Hans-Knöll-Institute, Jena, Germany.
Abstract:
Aspergillus fumigatus is a ubiquitous airborne fungus and opportunistic human pathogen. In immunocompromised hosts, the fungus can cause life-threatening diseases like invasive pulmonary aspergillosis. Since the incidence of fungal systemic infections drastically increased over the last years, it is a major goal to investigate the pathobiology of A. fumigatus and in particular the interactions of A. fumigatus conidia with immune cells. Many of these studies include the activity of immune effector cells, in particular of macrophages, when they are confronted with conidia of A. fumigus wild-type and mutant strains. Here, we report the development of an automated analysis of confocal laser scanning microscopy images from macrophages coincubated with different A. fumigatus strains. At present, microscopy images are often analysed manually, including cell counting and determination of interrelations between cells, which is very time consuming and error-prone. Automation of this process overcomes these disadvantages and standardises the analysis, which is a prerequisite for further systems biological studies including mathematical modeling of the infection process. For this purpose, the cells in our experimental setup were differentially stained and monitored by confocal laser scanning microscopy. To perform the image analysis in an automatic fashion, we developed a ruleset that is generally applicable to phagocytosis assays and in the present case was processed by the software Definiens Developer XD. As a result of a complete image analysis we obtained features such as size, shape, number of cells and cell-cell contacts. The analysis reported here, reveals that different mutants of A. fumigatus have a major influence on the ability of macrophages to adhere and to phagocytose the respective conidia. In particular, we observe that the phagocytosis ratio and the aggregation behaviour of pksP mutant compared to wild-type conidia are both significantly increased.
Insights
Automated analysis of microscopy images standardizes the study of Aspergillus fumigatus (A. fumigatus) interactions with immune cells. This method reveals how A. fumigatus mutants impact macrophage phagocytosis and aggregation.
Area of Science:
- Medical Mycology
- Computational Biology
- Immunology
Background:
- Aspergillus fumigatus (A. fumigatus) is an opportunistic pathogen causing life-threatening infections in immunocompromised individuals.
- The increasing incidence of fungal infections necessitates research into A. fumigatus pathobiology and its interactions with immune cells, particularly macrophages.
- Manual analysis of microscopy images for these studies is time-consuming and prone to errors.
Purpose of the Study:
- To develop an automated method for analyzing confocal laser scanning microscopy images of macrophages interacting with A. fumigatus.
- To overcome the limitations of manual image analysis and standardize the quantification of immune cell-pathogen interactions.
- To enable systems biology approaches and mathematical modeling of fungal infection processes.
Main Methods:
- Development of a generalizable ruleset for automated image analysis of phagocytosis assays.
- Application of the ruleset using Definiens Developer XD software on differentially stained cells.
- Confocal laser scanning microscopy was used to monitor macrophage-A. fumigatus coincubations.
Main Results:
- The automated analysis successfully extracted features like cell size, shape, number, and cell-cell contacts.
- Different A. fumigatus mutants significantly influenced macrophage adherence and phagocytosis.
- The pksP mutant showed significantly increased phagocytosis ratio and aggregation compared to wild-type conidia.
Conclusions:
- Automated image analysis provides a standardized and efficient method for studying host-pathogen interactions.
- A. fumigatus mutant strains differentially affect macrophage responses, influencing phagocytosis and aggregation.
- This approach facilitates further systems biological investigations into invasive pulmonary aspergillosis.

