Computer software for testing drug susceptibility of malaria parasites

Area of Science:

• Parasitology
• Medical Technology
• Computational Biology

Background:

• In vitro antimalarial drug susceptibility testing is crucial for malaria control.
• Flow cytometry offers a high-throughput method for analyzing cellular responses.

Purpose of the Study:

• To develop and validate a computer program for automated analysis of flow cytometry data in antimalarial drug susceptibility testing.

Main Methods:

• Malaria-infected red blood cells (RBCs) were cultured with varying antimalarial drug concentrations.
• Cells were stained with Hoechst dye, and fluorescence intensity correlated with parasite DNA content and developmental stage.
• Data were acquired using a FACStar flow cytometer, generating FCS 1.0 files.
• The HP PAS-CAL program was developed to identify cell populations and quantify parasite load.

Main Results:

• The HP PAS-CAL program successfully identified five distinct cell populations: uninfected RBCs, infected RBCs, free parasites, leukocytes, and debris.
• The program calculated key metrics including the percentage of infected cells, total parasite nuclei, and average nuclei per parasite.
• Drug dose-response curves were generated, and the automated analysis demonstrated high accuracy (>99%) across 862 drug tests.

Conclusions:

• The automated HP PAS-CAL program provides a robust and efficient method for analyzing flow cytometry data in antimalarial drug susceptibility testing.
• This tool streamlines the process, reduces user interaction, and flags potential analysis issues, facilitating reliable drug efficacy assessment.