Investigating antigenic variation and other parasite-host interactions in Plasmodium falciparum infections in naïve hosts

Gatton, M. L. and Cheng, Q. (2004) Investigating antigenic variation and other parasite-host interactions in Plasmodium falciparum infections in naïve hosts. Parasitology, 128 Part 4: 367-376. doi:10.1017/S0031182003004608


Author Gatton, M. L.
Cheng, Q.
Title Investigating antigenic variation and other parasite-host interactions in Plasmodium falciparum infections in naïve hosts
Journal name Parasitology   Check publisher's open access policy
ISSN 0031-1820
1469-8161
Publication date 2004-04
Sub-type Article (original research)
DOI 10.1017/S0031182003004608
Volume 128
Issue Part 4
Start page 367
End page 376
Total pages 10
Place of publication United Kingdom
Publisher Cambridge University Press
Language eng
Subject 06 Biological Sciences
Abstract Mathematical models of the in-host dynamics of malaria infections provide a valuable tool to explore aspects of the host-parasite interaction that are not possible to investigate experimentally. This paper presents predictions of several important parameter values for 2 parasite strains/groups: parasite PfEMP1 switching rates, dynamics of host anti-PfEMP1 antibodies and parameters related to specific and non-specific host immune responses. A stochastic simulation model of the in-host dynamics of Plasmodium falciparum infections in naïve hosts was used to make these predictions. This model incorporates a novel process to simulate antigenic variation by the parasite, and specific and non-specific immune responses by the host. Comparison of model output to a range of published statistics indicated that the model is capable of reproducing the features of clinical P. falciparum infections, including the characteristic recrudescent behaviour. Using the model, we explored the hypothesized switching mechanism of a fast overall rate of antigenic variation early in an infection and found that it is compatible with chronic infections when the var genes are split into 2 groups; fast and slow switching.
Keyword Malaria
Plasmodium falciparum
Mathematical modelling
In-host dynamics
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Unknown

Document type: Journal Article
Sub-type: Article (original research)
Collections: Excellence in Research Australia (ERA) - Collection
School of Public Health Publications
 
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Created: Thu, 01 Apr 2010, 09:20:07 EST by Therese Egan on behalf of Faculty Of Health Sciences