Artificial macrophages and the human immune system computational modeling for the investigation of sepsis pathophysiology: Perspectives DOI - 10.5752/P.2316-9451.2015v3n2p54

Gomes, Andréia Patrícia; Souza, Flávio Oliveira de; Oliveira, Alcione de Paiva; Moreira, Brenda Silveira Valles; Freitas, Rodrigo Barros; Cerqueira, Fábio Ribeiro; Possi, Maurílio de Araújo; Bastos, Carlos; Santana, Luiz Alberto; Siqueira-Batista, Rodrigo

doi:10.5752/p.2316-9451.2015v3n2p54

Cited by 1 publication

(3 citation statements)

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“…Thus, it is possible to test several hypotheses, using a simulation tool, and the results can be contrasted with experimental observations of real phenomena. This fact allows to validate or indicate the need for issues in the model, and provides clues to be incorporated into the scientific theory about the phenomenon under study (GOMES et al, 2015).…”

Section: Computacional Approach: Research In Silico Using Multiagent mentioning

confidence: 99%

“…The experiments in silico are considered fast, inexpensive and do not imply ethical issues described in experiments in vitro and in vivo (GOMES et al, 2015). This type of research is based on the initial model, devised in the light of existing knowledge and in the observation of the phenomena under study.…”

Section: Computacional Approach: Research In Silico Using Multiagent mentioning

confidence: 99%

“…The choice of the etiologic agent was given for (1) the issues, already described, of relevance in clinical terms, and public health described in literature and (2) the previous experience of the authors with simulation of infectious processes that occur with marked systemic inflammatory response syndrome (SIRS) -for example, bacterial sepsis investigated by Sousa (2014) and Gomes et al (2015).…”

Section: Computer Modeling Of Plasmodium Falciparum and Erythrocyte Imentioning

confidence: 99%

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Plasmodium Falciparum Infection: In Silico Preliminary Studies

Gomes

Moreira

Dias

et al. 2016

Abakos

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Plasmodium falciparum INFECTION ResumoA malária é uma doença infecciosa de grande impacto em termos de saúde pública -dado o contingente de pessoas afetadas e submetidas ao risco de adoecer -, causada por protozoá-rios do gênero Plasmodium. São conhecidas cinco principais espécies capazes de infectar humanos: Plasmodium falciparum, Plasmodium vivax, Plasmodium ovale, Plasmodium malariae e Plasmodium knowlesi, destacando-se a primeira como aquela capaz de produzir os quadros de maior gravidade. A despeito de sua relevância clínica e epidemiológica e das investigações em desenvolvimento -dirigidas aos diferentes aspectos da interação entre o homem e os protozoários do gênero Plasmodium -permanecem inúmeras dúvidas sobre distintos aspectos do processo fisiopatológico da malária. Para estudar tais lacunas, pode-se buscar estratégias interdisciplinares envolvendo biologia, medicina e ciência da computação, no âmbito da experimentação in silico. Tal abordagem apresenta rapidez, baixo custo e a não implicação em questões éticas que permeiam as experimentações in vitro e in vivo.Com base nessas considerações, o presente artigo apresenta os resultados preliminares de um modelo computacional de interação entre P. falciparum e eritrócitos, os quais foram implementados -computacionalmente -no sistema AutoSimmune. Os resultados obtidos demonstram que o sistema é capaz de simular o processo de infecção das células hospedeiras pelo protozoário, apresentando, assim, similaridade com a realidade biológica. AbstractMalaria is an infectious disease of great impact in terms of public health, given the number of people affected and subjected to the risk of illness. Protozoa of the genus Plasmodium cause it and five species can infect humans: Plasmodium falciparum, Plasmodium vivax, Plasmodium ovale, Plasmodium malariae and Plasmodium knowlesi; the first is able to produce the most severe cases of the disease. Despite its clinical and epidemiological relevance and investigations in development -targeted at different aspects of the interaction between humans and Plasmodium protozoa of the genus -there remains many questions about different aspects of the malaria pathophysiology. To study such gaps, interdisciplinary strategies can be pursed, which involve biology, medicine an computer science, as part of the trial in silico. Such approach provides agility, low cost and does not imply ethical issues that permeate the experiments in vitro and in vivo. Based on these considerations, this article presents preliminary results of a computational model of the interaction between P. falciparum and erythrocytes, implemented in AutoSimmune system. The results obtained show that the system is able to simulate the host cells infection process by protozoan with similarities with the biological reality.

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Section: Computacional Approach: Research In Silico Using Multiagent mentioning

confidence: 99%

Section: Computacional Approach: Research In Silico Using Multiagent mentioning

confidence: 99%

Section: Computer Modeling Of Plasmodium Falciparum and Erythrocyte Imentioning

confidence: 99%

See 1 more Smart Citation