A Simple Model for the Interaction Between T. cruzi and its Antibodies During Chagas Infection

Isasi, S. Cossy; Sibona, G. J.; Condat, C. A.

doi:10.1006/jtbi.2000.2191

Cited by 17 publications

(13 citation statements)

References 22 publications

(8 reference statements)

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“…As discussed in Cossi Isasi et al (2001), it is convenient to rescale the antibody populations by writing a i = A i / Z. The equation for the rescaled number of antibody molecules is then…”

Section: ͑2͒mentioning

confidence: 99%

“…The learning times were obtained in Cossi Isasi et al (2001) from fits to the experimental results of El Bouhdidi et al (1994).…”

Section: ͑2͒mentioning

confidence: 99%

“…When latency periods are larger than antibody lifetime, those parasites generate more persistent infections. (6) The values of the antibody parameters were obtained in Cossi Isasi et al (2001) from fits to the data of El Bouhdidi and co-workers (El Bouhdidi et al, 1994). Since these fits indicate that three antibody species (IgG1, IgG2a, and IgM) are needed to reproduce the parasite evolution data, we have used three antibody species in our simulations.…”

Section: Numerical Analysismentioning

confidence: 99%

“…In order to formulate more precisely the relevant questions and to make predictions about the disease dynamics, we developed a model that describes the competitive interaction between T. cruzi and the immune system (Cossy Isasi et al, 2001). The model accurately predicts all possible outcomes of the disease: healing, death, and chronic infection, with stationary or quasi-cyclical populations (Condat et al, 2003).…”

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confidence: 99%

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Why does GM1 induce a potent beneficial response to experimental Chagas disease?

2009

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Being one of the world's neglected diseases, Chagas has neither a vaccine nor a satisfactory therapy. Inoculation of murine models with the ganglioside GM1 has shown a strikingly nonlinear effect, leading to a strong decrease in parasite load at low doses but reverting to a load increase at high doses. Cardiocyte destruction concomitant with the disease is also significantly reduced by a moderate application of GM1. A mathematical model for the interaction between the parasite and the immune system is shown to explain these effects and is used to predict an optimal dosage that maximizes parasite removal with minimal cardiocyte destruction.

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“…As discussed in Cossi Isasi et al (2001), it is convenient to rescale the antibody populations by writing a i = A i / Z. The equation for the rescaled number of antibody molecules is then…”

Section: ͑2͒mentioning

confidence: 99%

“…The learning times were obtained in Cossi Isasi et al (2001) from fits to the experimental results of El Bouhdidi et al (1994).…”

Section: ͑2͒mentioning

confidence: 99%

Section: Numerical Analysismentioning

confidence: 99%

mentioning

confidence: 99%

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Why does GM1 induce a potent beneficial response to experimental Chagas disease?

2009

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“…Recently, some computer models have been used to gain insight into a variety of diseases caused by protozoan. Examples includes Chagas disease [5][6][7]9], malaria [4], toxoplasmosis [14], and leishmaniasis [1,2,11]. Several approaches used to describe the disease evolution on a cellular level are based on differential equation, cellular automata and multi-agents.…”

Section: Introductionmentioning

confidence: 99%

Modeling of leishmaniasis infection by using multi-agents systems

Galvão¹,

Miranda²,

Andrade³

2016

Proceeding Series of the Brazilian Society of Computational and Applied Mathematics

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Abstract. The World Health Organization considers leishmaniasis as one of the six most important tropical diseases in the world. Actually, it is endemic in 88 countries and the different types of this disease affects approximately 12 million of people worldwide. Leishmaniasis is caused by protozoan parasites of the genus Leishmania. The mechanisms of the cellular response against leishmaniasis are not completely known. Additionally, there is still a lack of understanding on the metabolism of the parasite. In this way, we have developed and analyzed a computational model for the immune response to Leishmania major infection by using multi-agent systems. In our model, we have seven different cell types: Leishmania major, CD4-T cell (resting and activated), macrophage (resting, activated, infected, chronically infected), eosinophil (resting and activated), neutrophil, dendritic cell (resting and activated), and keratinocyte. Furthermore, there are void sites to simulate the mobility of the cells. Our model can simulate migration, activation, phagocytosis, and cellular death by lifetime. It was constructed on a three-dimensional cubic lattice. The results show that the kinetics of different cell types does not change for different lattice size. Furthermore, our results suggest that an agent-based approach is a suitable instrument for investigating the cellular interaction. Keywords.multi-agent, leishmaniasis, computational model, immune response, protozoan infection 1 vivgalvao@gmail.com 2

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Relevance of Intracellular Replication to the Evolution of Chagas Disease

Sibona

Mathematical Modeling of Biological Systems

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A Simple Model for the Interaction Between T. cruzi and its Antibodies During Chagas Infection

Cited by 17 publications

References 22 publications

Why does GM1 induce a potent beneficial response to experimental Chagas disease?

Why does GM1 induce a potent beneficial response to experimental Chagas disease?

Modeling of leishmaniasis infection by using multi-agents systems

Relevance of Intracellular Replication to the Evolution of Chagas Disease

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