A Multiagent-based Simulation of the Infection of the Macrophage by Trypanosoma Cruzi in the Acute Phase of Chagas’ Disease: Influence of the Initial Inoculum and Protozoan Escape Factor

Willian Cordeiro Farago, Alcione de Paiva Oliveira, Rodrigo Siqueira-Batista, Andréia Patrícia Gomes, Juliana Lopes Rangel Fietto, Fábio Ribeiro Cerqueira, Luiz Alberto Santana

2016

Abstract

Chagas’ disease presents a wide distribution in Latin America. Some epidemiological studies show that there are a prevalence of 16 to 18 million people affected by the disease and at least 100 million people at risk of being infected on these areas. Recently, due to the globalization, the disease, which was previously endemic only in countries of Central America and South America, is now presenting cases in other regions such as North America and Europe. Trypanosoma cruzi, the etiological agent, has the ability to promote changes in the tissues of the vertebrate host with significant morbidity, according to the degree of infection. This article presents a simulation of the human immune system using a multiagent system approach. More specifically, we propose a simulation study aimed at the acute phase of Chagas’ disease, related to the macrophage-Trypanosoma interaction. The simulation showed that the initial number of T. cruzi influences in the outcome of infection and was found a relationship between the escape factor and the total elimination of T. cruzi.

References

  1. Alcantara, A. and Brener, Z. (1980). Trypanosoma cruzi: Role of macrophage membrane components in the phagocytosis of bloodstream forms. Experimental parasitology, 50(1):1-6.
  2. Bastos, C. A., Oliveira, A. d. P., Gomes, A. P., de Araújo Possi, M., Santana, L. A., Cerqueira, F. R., and Siqueira-Batista, R. (2013). Simulac¸a˜o do sistema imunológico por meio de sistemas multiagentes: um estudo da resposta imune na glomerulonefrite pósinfecciosa (gnpe) por streptococcus pyogenes. In XIII Workshop de Informática Médica, pages 1093-110.
  3. Borges, D. C. (2012). Diferentes inóculos parasitários determinam a modulac¸a˜o da resposta imune e o desenvolvimento da infecc¸a˜o experimental por Trypanosoma cruzi. Master's thesis, Universidade Federal do Triaˆngulo Mineiro, Uberaba - MG.
  4. Borges-Pereira, J., Pessoa, I., and Coura, J. (1988). Observac¸o˜es sobre as dejec¸ o˜es e o número de t. cruzi eliminados por diferentes espécies de triatomíneos durante a alimentac¸a˜o. Mem Inst Oswaldo Cruz, 83(Suppl I):7.
  5. Celentano, A. M. and González Cappa, S. M. (1993). In vivo macrophage function in experimental infection with trypanosoma cruzi subpopulations. Acta tropica, 55(3):171-180.
  6. Coura, J. R. (2013). Chagas disease: control, elimination and eradication. is it possible? Memórias do Instituto Oswaldo Cruz, 108(8):962-967.
  7. Coura, J. R., Anunziato, N., and Willcox, H. P. (1983). Morbidade da doenc¸a de chagas. i-estudo de casos procedentes de vários estados do brasil, observados no rio de janeiro. Mem Inst Oswaldo Cruz, 78(3):363-372.
  8. Coura, J. R. and Borges-Pereira, J. (2010). Chagas disease: 100 years after its discovery. a systemic review. Acta tropica, 115(1):5-13.
  9. Da Silva, C., De Paiva Oliveira, A., De Araujo Possi, M., Cerqueira, F., Gomes, A., Santana, L., and SiqueiraBatista, R. (2012). Immune system simulation: Modeling the mast cell. In Bioinformatics and Biomedicine (BIBM), 2012 IEEE International Conference on, pages 1-4.
  10. Devillers, H., Lobry, J. R., and Menu, F. (2008). An agent-based model for predicting the prevalence of trypanosoma cruzi i and ii in their host and vector populations. Journal of theoretical biology, 255(3):307- 315.
  11. Dewri, R. and Chakraborti, N. (2005). Simulating recrystallization through cellular automata and genetic algorithms. Modelling and Simulation in Materials Science and Engineering, 13(2):173.
  12. Dias, J. C. P. (1982). Doenc¸a de Chagas em Bambuí, Minas Gerais, Brasil: estudo clínico-epidemiológico a partir da fase aguda, entre 1940 e 1982. PhD thesis, Universidade Federal de Minas Gerais. Faculdade de Medicina.
  13. Floreano, D. and Mattiussi, C. (2008). Bio-Inspired Artificial Intelligence: Theories, Methods, and Technologies. Intelligent Robotics and Autonomous Agents Series. Mit Press, Philadelphia.
  14. Folcik, V., An, G., and Orosz, C. (2007). The Basic Immune Simulator: An agent-based model to study the interactions between innate and adaptive immunity. Theoretical Biology and Medical Modelling, 4(1):39+.
  15. Galva˜o, V., Miranda, and Vivas, J. G. (2010). A threedimensional multi-agent-based model for the evolution of chagas disease. Biosystems, 100(3):225-230.
  16. Galva˜o, V., Miranda, J. G. V., and Ribeiro-dos Santos, R. (2008). Development of a two-dimensional agent-based model for chronic chagasic cardiomyopathy after stem cell transplantation. Bioinformatics, 24(18):2051-2056.
  17. hua Li, X., xuan Wang, Z., yang Lu, T., and jiu Che, X. (2009). Modelling immune system: Principles, models, analysis and perspectives. Journal of Bionic Engineering, 6(1):77 - 85.
  18. Martins, A. V., Gomes, A. P., Gomes de Mendonc¸a, E., Lopes Rangel Fietto, J., Santana, L. A., de Almeida Oliveira, M. G., Geller, M., de Freitas Santos, R., Roger Vitorino, R., and SiqueiraBatista, R. (2012). Biology of trypanosoma cruzi: An update. Infectio, 16(1):45-58.
  19. Possi, M. A., P., O. A., C., C., and R., C. F. (2011). An insilico immune system model for investigating human autoimmune diseases. In XXXVII Conferencia Latinoamericana en Informática CLEI.
  20. Rassi Jr, A., Rassi, A., and Marcondes de Rezende, J. (2012). American trypanosomiasis (chagas disease). Infectious disease clinics of North America, 26(2):275-291.
  21. Rey, L. (2008). Parasitologia: parasitos e doenc¸as parasitárias do homem nos trópicos ocidentais. Guanabara Koogan.
  22. Rochitte, C. E., Nacif, M. S., de Oliveira Júnior, A. C., Siqueira-Batista, R., Marchiori, E., Uellendahl, M., and de Lourdes Higuchi, M. (2007). Cardiac magnetic resonance in chagas' disease. Artificial organs, 31(4):259-267.
  23. Rodrigues, W. F., Miguel, C. B., Chica, J. E. L., and Napimoga, M. H. (2010). 15d-pgj2 modulates acute immune responses to trypanosoma cruzi infection. Memórias do Instituto Oswaldo Cruz, 105(2):137- 143.
  24. Rogers, C., Nguy, K. N. T., and Amajor, O. A. (2010). Daily behavior of trypanosoma cruzi hosts and vectors in texas: An agent-based modeling approach in netlogo.
  25. Russo, M. and Starobinas, N. (1991). Macrophage activation and resistance to trypanosoma cruzi infection. Research in immunology, 142(2):144-146.
  26. Siqueira-Batista, R. and Geller, M. (2008). Role of tcd4+ and tcd8+ lymphocytes in the immune response to trypanosoma cruzi. RBM rev. bras. med, 65(7).
  27. Siqueira-Batista, R., Geller, M., Martins, A., Bastos, O., Siqueira-Batista, R., Gomes, A., Correˆa, A., and Geller, M. (2007). Trypanosoma cruzi. Moléstia de Chagas.
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Paper Citation


in Harvard Style

Farago W., Oliveira A., Siqueira-Batista R., Gomes A., Fietto J., Cerqueira F. and Santana L. (2016). A Multiagent-based Simulation of the Infection of the Macrophage by Trypanosoma Cruzi in the Acute Phase of Chagas’ Disease: Influence of the Initial Inoculum and Protozoan Escape Factor . In Proceedings of the 18th International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-989-758-187-8, pages 29-38. DOI: 10.5220/0005761400290038


in Bibtex Style

@conference{iceis16,
author={Willian Cordeiro Farago and Alcione de Paiva Oliveira and Rodrigo Siqueira-Batista and Andréia Patrícia Gomes and Juliana Lopes Rangel Fietto and Fábio Ribeiro Cerqueira and Luiz Alberto Santana},
title={A Multiagent-based Simulation of the Infection of the Macrophage by Trypanosoma Cruzi in the Acute Phase of Chagas’ Disease: Influence of the Initial Inoculum and Protozoan Escape Factor},
booktitle={Proceedings of the 18th International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2016},
pages={29-38},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005761400290038},
isbn={978-989-758-187-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 18th International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - A Multiagent-based Simulation of the Infection of the Macrophage by Trypanosoma Cruzi in the Acute Phase of Chagas’ Disease: Influence of the Initial Inoculum and Protozoan Escape Factor
SN - 978-989-758-187-8
AU - Farago W.
AU - Oliveira A.
AU - Siqueira-Batista R.
AU - Gomes A.
AU - Fietto J.
AU - Cerqueira F.
AU - Santana L.
PY - 2016
SP - 29
EP - 38
DO - 10.5220/0005761400290038