A mathematical model for the investigation of the Th1 immune response to Chlamydia trachomatis

Wilson, David; McElwain, D. L. S.

doi:10.1016/s0025-5564(02)00180-3

Cited by 26 publications

(27 citation statements)

References 19 publications

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“…Similarly, Chlamydia is an obligate intracellular bacteria with an extracellular stage, the elementary bodies (EB). Our model builds on existing models [18,20], with several adjustments. In particular, to capture the structure of the epithelium, the EBs are divided into an upper (E u ) and a lower (E l ) population, which migrate up and down the epithelium.…”

Section: Infection Modelsmentioning

confidence: 99%

“…The vast majority of mathematical models of STI within-host dynamics focus on HIV (for a review, see [17]) but some investigate pathogens that only (or mainly) target epithelia such as Chlamydia [18][19][20][21][22], HPV [23][24][25][26], Epstein-Barr Virus (EBV) [27,28] or HSV [29]. A common feature of these models is that they focus on the pathogen and the associated immune response somehow at the expenses of the epithelium itself.…”

Section: Introductionmentioning

confidence: 99%

“…While both Chlamydia and HPV replicate intra-cellularly, these two infections exhibit contrasting strategies for infecting the squamous epithelium: HPVs cause non-lytic basal-up infections, whereas Chlamydia infections are from the surface-down and are lytic. As mentioned earlier, there are some previous mathematical models of both HPV and Chlamydia, which we can build on [18][19][20][21][22][23][24][25][26]. More importantly, the biology of these two pathogens are well studied, with their life-histories (HPVs [42] and Chlamydia [43]) well characterized, at least, more so than other epithelial infections.…”

Section: Introductionmentioning

confidence: 99%

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Epithelial stratification shapes infection dynamics

Murall

Jackson

Zehbe

et al. 2017

Preprint

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Infections of stratified epithelia collectively represent a large burden on global health. Experimental models provide a means to understand how the cell dynamics themselves influence the outcomes of these infections. Mathematical approaches are needed to improve quantification and theoretical advancement of these complex systems. Here, we develop a general ecology-inspired model for stratified epithelial dynamics, which allows us to simulate infections and to estimate parameters that are difficult to measure with organotypic cell cultures. To explore how epithelial cell dynamics affect infection dynamics, we focus on two contrasting pathogens of the cervicovaginal epithelium: Chlamydia trachomatis and Human papillomaviruses. We find that key infection symptoms stem from differential interactions with the layers, while clearance and pathogen burden are bottom-up processes. Cell protective responses to infections (e.g. increased cell proliferation) generally lowered pathogen load but there were specific effects based on infection strategies. These generic responses by the epithelium, then, will have varying results depending on the pathogen's infection strategy. Our modeling approach opens new perspectives for 3D tissue culture experimental systems of infections and, more generally, for developing and testing hypotheses related to infections of stratified epithelia.

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Section: Infection Modelsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Epithelial stratification shapes infection dynamics

Murall

Jackson

Zehbe

et al. 2017

Preprint

View full text Add to dashboard Cite

show abstract

“…Wilson, Timms and McElwain modelled the inter-conversion between infectious and replicating chlamydial particles to track the number of particles within a host cell with time over the developmental cycle [11]. Cellular C207 dynamics were modelled exterior to the within-host model and immune effectiveness was studied.…”

Section: C205mentioning

confidence: 99%

Mathematical modelling of Chlamydia

Wilson

2004

ANZIAMJ

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Chlamydiae are intracellular bacterial parasites that develop and multiply within mucosal cells of humans and animals and amongst the most common sexually transmitted disease worldwide. If left untreated, infection with Chlamydia can lead to serious outcomes such as infertility, ectopic pregnancy and blinding trachoma due to tissue scarring. There are currently no vaccines available for these major diseases. Microbiological research on Chlamydia is advancing rapidly and recently mathematical models of the bacteria have been developed to assist understanding of the complex chlamydial developmental cycle. Here, we extend the current description of the chlamydial developmental cycle and review the models developed and their predictions about chlamydial pathogenesis. The computational techniques employed by these applications are outlined.

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“…A few population-level models, of the form of discrete-time [18,21] and continuous-time [3,26] dynamical systems, have been presented. In-host models for the dynamics of Chlamydia are presented in [2,5,[35][36][37]. Other forms of Chlamydia modeling involve the use of individualbased stochastic model [20,32].…”

Section: Introductionmentioning

confidence: 99%

Re-infection-induced backward bifurcation in the transmission dynamics of Chlamydia trachomatis

Sharomi

Gumel

2009

Journal of Mathematical Analysis and Applications

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A new two-group deterministic model for Chlamydia trachomatis is designed and analyzed to gain insights into its transmission dynamics. The model is shown to exhibit the phenomenon of backward bifurcation, where a stable disease-free equilibrium (DFE) co-exists with one or more stable endemic equilibria when the associated reproduction number is less than unity. It is further shown that the backward bifurcation dynamic is caused by the re-infection of individuals who recovered from the disease. The epidemiological implication of this result is that the classical requirement of the reproduction number being less than unity becomes only a necessary, but not sufficient, condition for disease elimination. The basic model is extended to incorporate the use of treatment for infectious individuals (including those who show disease symptoms and those who do not). Rigorous analysis of the treatment model reveals that the use of treatment could have positive or negative population-level impact, depending on the sign of a certain epidemiological threshold. The treatment model is used to evaluate various treatment strategies, namely treating every infected individual showing symptoms of Chlamydia (universal strategy), treating only infectious males showing Chlamydia symptoms (male-only strategy) and treating only infectious females showing symptoms of Chlamydia (female-only strategy). Numerical simulations show that the implementation of the male-only or female-only strategy can induce an indirect benefit of saving new cases of Chlamydia infection in the opposite sex. Further, the universal strategy gives the highest reduction in the cumulative number of new cases of infection.

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A mathematical model for the investigation of the Th1 immune response to Chlamydia trachomatis

Cited by 26 publications

References 19 publications

Epithelial stratification shapes infection dynamics

Epithelial stratification shapes infection dynamics

Mathematical modelling of Chlamydia

Re-infection-induced backward bifurcation in the transmission dynamics of Chlamydia trachomatis

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