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Analysis of the Epithelial Damage Produced by Entamoeba histolytica Infection
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Modelling host cell availability and the crowding effect in Eimeria infections.

W T Johnston1, M W Shirley, A L Smith

  • 1Institute for Animal Health, Compton Laboratory, Berkshire RG20 7NN, Newbury, UK. tom.johnston@bbsrc.ac.uk

International Journal for Parasitology
|June 29, 2001
PubMed
Summary

Mathematical models of chicken Eimeria infections suggest host cell availability alone does not explain the

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Area of Science:

  • * Poultry science
  • * Parasitology
  • * Mathematical biology

Background:

  • * Eimeria species cause significant economic losses in the poultry industry.
  • * The 'crowding effect' describes reduced parasite fecundity with increased infectious dose.
  • * Understanding factors influencing Eimeria infections is crucial for disease control.

Purpose of the Study:

  • * To investigate the role of host cell availability in the 'crowding effect' of Eimeria maxima and Eimeria praecox.
  • * To develop and utilize within-host mathematical models to simulate Eimeria infections in chickens.
  • * To assess the impact of enterocyte pool size and lifespan on parasite fecundity.

Main Methods:

  • * Construction of within-host mathematical models for Eimeria maxima and Eimeria praecox.
  • * Integration of experimental data with mathematical models.
  • * Simulation of infection dynamics under varying assumptions of host cell availability.

Main Results:

  • * Crowding effect observed in vivo at very low infectious doses.
  • * Mathematical models failed to reproduce crowding at low doses with realistic enterocyte dynamics.
  • * Enterocyte pool size and lifespan significantly impacted parasite fecundity, especially at higher doses.

Conclusions:

  • * Host cell availability is unlikely to be the sole cause of the 'crowding effect' in Eimeria infections.
  • * The immune response may play a significant role in regulating parasite numbers.
  • * Within-host models offer a valuable tool for exploring parasite-host interactions.