Literature DB >> 10640432

Modelling the transition of asexual blood stages of Plasmodium falciparum to gametocytes.

H H Diebner1, M Eichner, L Molineaux, W E Collins, G M Jeffery, K Dietz.   

Abstract

In this paper, we investigate the transition of asexual blood stages of P. falciparum to gametocytes. The study is based on daily data, collected from 262 individual courses of parasitaemia. We propose several mathematical models that follow biological reasoning. The models are fitted with maximum likelihood and are compared with each other. The models differ in the assumptions made about the mortality of circulating gametocytes and about the transition rate of the asexual parasites. Gametocyte mortality is modelled as being (i) constant over time, (ii) linearly increasing over time, (iii) linearly increasing over gametocyte age, and (iv) exponentially increasing over gametocyte age, respectively. The transition rate is either kept constant per patient or piecewise constant within intervals that correspond to waves of asexual parasitaemia which are assumed to be caused by different Pf(emp1)-variants. According to likelihood ratio tests, the models with age-dependent mortality rate and wave-dependent transition rates are superior to the models with constant transition rate and/or constant or time-dependent mortality rate. The best fits are reached for models with exponentially increasing (Gompertz-type) mortality. Furthermore, an impact of high asexual parasite densities on the survival of gametocytes, interpreted as a cytokine-mediated effect, is evident in some cases. Copyright 2000 Academic Press.

Entities:  

Mesh:

Year:  2000        PMID: 10640432     DOI: 10.1006/jtbi.1999.1041

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  22 in total

1.  Population dynamics of a pathogen: the conundrum of vivax malaria.

Authors:  Philip G McQueen
Journal:  Biophys Rev       Date:  2010-08-10

2.  Nonlinear mixed effects modeling of gametocyte carriage in patients with uncomplicated malaria.

Authors:  Greg B Distiller; Francesca Little; Karen I Barnes
Journal:  Malar J       Date:  2010-02-26       Impact factor: 2.979

3.  Quantitative analysis of immune response and erythropoiesis during rodent malarial infection.

Authors:  Martin R Miller; Lars Råberg; Andrew F Read; Nicholas J Savill
Journal:  PLoS Comput Biol       Date:  2010-09-30       Impact factor: 4.475

Review 4.  Virulence in malaria: an evolutionary viewpoint.

Authors:  Margaret J Mackinnon; Andrew F Read
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2004-06-29       Impact factor: 6.237

5.  Development of a new version of the Liverpool Malaria Model. I. Refining the parameter settings and mathematical formulation of basic processes based on a literature review.

Authors:  Volker Ermert; Andreas H Fink; Anne E Jones; Andrew P Morse
Journal:  Malar J       Date:  2011-02-11       Impact factor: 2.979

6.  Mathematical modeling of malaria infection with innate and adaptive immunity in individuals and agent-based communities.

Authors:  David Gurarie; Stephan Karl; Peter A Zimmerman; Charles H King; Timothy G St Pierre; Timothy M E Davis
Journal:  PLoS One       Date:  2012-03-28       Impact factor: 3.240

7.  Optimally timing primaquine treatment to reduce Plasmodium falciparum transmission in low endemicity Thai-Myanmar border populations.

Authors:  Saranath Lawpoolsri; Eili Y Klein; Pratap Singhasivanon; Surapon Yimsamran; Nipon Thanyavanich; Wanchai Maneeboonyang; Laura L Hungerford; James H Maguire; David L Smith
Journal:  Malar J       Date:  2009-07-15       Impact factor: 2.979

8.  Malaria's missing number: calculating the human component of R0 by a within-host mechanistic model of Plasmodium falciparum infection and transmission.

Authors:  Geoffrey L Johnston; David L Smith; David A Fidock
Journal:  PLoS Comput Biol       Date:  2013-04-18       Impact factor: 4.475

9.  New targets for drug discovery against malaria.

Authors:  Guido Santos; Néstor V Torres
Journal:  PLoS One       Date:  2013-03-28       Impact factor: 3.240

Review 10.  Modelling malaria pathogenesis.

Authors:  Nicole Mideo; Troy Day; Andrew F Read
Journal:  Cell Microbiol       Date:  2008-07-18       Impact factor: 3.715

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.