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Updated: Jan 28, 2026

Macrophage Cholesterol Depletion and Its Effect on the Phagocytosis of Cryptococcus neoformans
Published on: December 19, 2014
An Automated Assay to Measure Phagocytosis of Cryptococcus neoformans
Andrew L Chang1, Camaron R Hole1, Tamara L Doering1
1Washington University in St. Louis, St. Louis, Missouri.
Abstract:
Cryptococcus neoformans is an opportunistic fungal pathogen that causes meningoencephalitis, which kills 200,000 individuals worldwide each year. It is ubiquitous in the environment and is first inhaled into the lungs of the host, where it is taken up by phagocytes. The interaction of these fungal cells with host phagocytes, therefore, is a critical step in the pathogenesis of this disease. One characteristic of this initial step in host-pathogen interactions is the avidity with which fungal cells are taken up by phagocytes, described by the phagocytic index. In this chapter, we detail a high-throughput method of directly assessing the phagocytic index of fungal cells using an imaging-based paradigm. By automating image collection and processing, this method permits rapid assessment of this critical host interaction. © 2019 by John Wiley & Sons, Inc.
Insights
This study presents a new high-throughput imaging method to assess how effectively phagocytes engulf Cryptococcus neoformans fungal cells. This rapid technique helps understand the critical early steps in fungal meningoencephalitis pathogenesis.
Area of Science:
- Mycology
- Immunology
- Pathogenesis
Background:
- Cryptococcus neoformans is an opportunistic fungal pathogen causing meningoencephalitis, leading to 200,000 deaths annually.
- Inhalation into the lungs initiates host-pathogen interaction, with fungal uptake by phagocytes being a critical step.
- The phagocytic index quantifies the avidity of this fungal cell uptake by phagocytes.
Purpose of the Study:
- To detail a high-throughput method for directly assessing the phagocytic index of fungal cells.
- To enable rapid evaluation of host-pathogen interactions in Cryptococcus neoformans infections.
Main Methods:
- Utilizing an imaging-based paradigm for direct assessment of the phagocytic index.
- Automating image collection and processing for high-throughput analysis.
Main Results:
- The developed method allows for rapid assessment of fungal cell uptake by phagocytes.
- This technique provides a direct measure of the phagocytic index.
Conclusions:
- Automated imaging offers a fast and efficient way to evaluate critical host-pathogen interactions.
- This method aids in understanding the pathogenesis of Cryptococcus neoformans infections.
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