Individual-based model and simulation of Plasmodium falciparum infected erythrocyte in vitro cultures

Authored by Jordi Ferrer, Clara Prats, Daniel Lopez, Joaquim Valls, Domingo Gargallo, Jaume Vidal, Esperanza Herreros, Antom Giro

Date Published: 2007

DOI: 10.1016/j.jtbi.2007.05.030

Sponsors: The Generalitat de Catalunya European Social Fund Spanish Ministries

Platforms: INDISIM

Model Documentation: ODD Mathematical description

Model Code URLs: Model code not found

Abstract

Malaria is still one of the most fatal diseases in the world. Development of an effective treatment or vaccine requires the cultivation of the parasite that causes it: Plasmodium falciparum. Several methods for in vitro cultivation of P. falciparum infected erythrocytes have been successfully developed and described in the last 30 years. Some problems arising from the current harvests are the low parasitaemia and daily human supervision requirements. The lack of a suitable model for global culture behavior makes the assay of new methodologies a costly and tenuous task. In this paper we present a model and simulation tool for these systems. We use the INDividual DIScrete SIMulation protocol (INDISIM) to qualitatively reproduce the temporal evolution of the erythrocyte and merozoite populations. Whole system dynamics are inferred by setting the rules of behavior for each individual red blood cell, such as the nutrient uptake, metabolism and infection processes, as well as the properties and rules for the culture medium: composition, diffusion and external manipulation. We set the individual description parameters according to the values in published data, and allow population heterogeneity. Cells are arranged in a three-dimensional grid and the study is focused on the geometric constraints and physical design of experimental sets. Several published experimental cultures have been reproduced with computer simulations of this model, showing that the observed experimental behavior can be explained by means of individual interactions and statistical laws. (C) 2007 Elsevier Ltd. All rights reserved.

Tags

growth Bacterial cultures Cultivation Human red-cell Metabolic dynamics Malaria parasites Blood-cell