Literature DB >> 15817433

A simple model for the within-host dynamics of a protozoan parasite.

D Klinkenberg1, J A P Heesterbeek.   

Abstract

The dynamics of parasite-host systems can be complicated if the parasite life cycle contains an obligatory environmental stage and if the hosts' immunity increases upon re-infection. The dynamics then greatly depend on the relation between infection history and parasite uptake and excretion of individual hosts. In an effort to better understand such systems, we study Eimeria spp. in chickens as our model. In this paper we take a first step and study the within-host dynamics of Eimeria spp. transmitted through oocysts in the environment, with a mathematical model for the parasite life cycle in discrete time, interacting with a single variable describing the immune response. The model can explain various types of oocyst input-output behaviour as described in previous experiments, in particular the characteristic crowding effect, which causes a decreasing oocyst production with increasing single dose oocyst uptake. Oocyst excretion during constant oocyst uptake (trickle infection) and the immunizing effect of single and trickle infections also appears in accordance with published experiments. The model seems a good description of oocyst input-output behaviour in individual hosts; it provides a solid basis for the study of between-host dynamics, where individuals interact in a common environment, thereby affecting their own and each other's infection pattern.

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Year:  2005        PMID: 15817433      PMCID: PMC1564076          DOI: 10.1098/rspb.2004.2987

Source DB:  PubMed          Journal:  Proc Biol Sci        ISSN: 0962-8452            Impact factor:   5.349


  21 in total

Review 1.  Review of intra-host models of malaria.

Authors:  L Molineaux; K Dietz
Journal:  Parassitologia       Date:  1999-09

Review 2.  Avian coccidiosis. A review of acquired intestinal immunity and vaccination strategies.

Authors:  H S Lillehoj; E P Lillehoj
Journal:  Avian Dis       Date:  2000 Apr-Jun       Impact factor: 1.577

3.  Modelling host cell availability and the crowding effect in Eimeria infections.

Authors:  W T Johnston; M W Shirley; A L Smith; M B Gravenor
Journal:  Int J Parasitol       Date:  2001-08       Impact factor: 3.981

4.  Modelling coccidial infection in chickens: emphasis on vaccination by in-feed delivery of oocysts.

Authors:  S Parry; M E Barratt; S Jones; S McKee; J D Murray
Journal:  J Theor Biol       Date:  1992-08-21       Impact factor: 2.691

5.  Effects of different infection rates on the oocyst production of Eimeria acervulina or Eimeria tenella in the chicken.

Authors:  R B Williams
Journal:  Parasitology       Date:  1973-12       Impact factor: 3.234

Review 6.  Recent advances in biology and immunobiology of Eimeria species and in diagnosis and control of infection with these coccidian parasites of poultry.

Authors:  P C Allen; R H Fetterer
Journal:  Clin Microbiol Rev       Date:  2002-01       Impact factor: 26.132

7.  Quantification of the crowding effect during infections with the seven Eimeria species of the domesticated fowl: its importance for experimental designs and the production of oocyst stocks.

Authors:  R B Williams
Journal:  Int J Parasitol       Date:  2001-08       Impact factor: 3.981

8.  Comparison of resistance level and circulating IgG response in chickens experimentally inoculated with a multiple or single immunizing doses of Eimeria acervulina.

Authors:  M M Galmes; C C Norton; J Catchpole
Journal:  Ann Parasitol Hum Comp       Date:  1991

9.  Eimeria tenella: immunological diversity between asexual generations.

Authors:  V McDonald; M H Wisher; M E Rose; T K Jeffers
Journal:  Parasite Immunol       Date:  1988-11       Impact factor: 2.280

10.  Immunization of young chickens by trickle infection with Eimeria tenella.

Authors:  Y Nakai; T Uchida; K Kanazawa
Journal:  Avian Dis       Date:  1992 Oct-Dec       Impact factor: 1.577

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  2 in total

1.  Superinfections can induce evolutionarily stable coexistence of pathogens.

Authors:  Barbara Boldin; Odo Diekmann
Journal:  J Math Biol       Date:  2007-10-09       Impact factor: 2.259

2.  The industrialization of farming may be driving virulence evolution.

Authors:  Carly Rozins; Troy Day
Journal:  Evol Appl       Date:  2016-11-21       Impact factor: 5.183

  2 in total

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