The artificial neutrophil and a proposal of an in silico research of the immune response in human bacterial diseases - DOI 10.5752/P.2316-9451.2014v2n2p79

Siqueira-Batista, Rodrigo; Souza, Flávio Oliveira de; Gomes, Andréia Patrícia; Oliveira, Alcione de Paiva; Oliveira, Izabella Soares de; Farago, Willian Cordeiro; Bastos, Carlos; Possi, Maurílio de Araújo; Santana, Luiz Alberto; Cerqueira, Fábio Ribeiro

doi:10.5752/p.2316-9451.2014v2n2p79

Cited by 3 publications

(4 citation statements)

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“…During the initial period of systemic inflammatory response syndrome (SIRS), the infectious process triggers an increase in circulating neutrophils and monocytes in hyper-reactivity (SIQUEIRA-BATISTA et al, 2014). As a result, there is an important increase in cytokines, what may lead to major consequences, like vascular damage and organ failure, which are severe outcomes that usually affects the septic patient.…”

Section: Macrophage In Sepsismentioning

confidence: 99%

“…The recent incorporation of computational simulation-in silico experimenthas helped to understand the intricate mechanisms of the interaction microorganism / man (SIQUEIRA-BATISTA et al, 2014), aiming to expand knowledge and build scientific hypotheses with the effectiveness and resolvability compatible with contemporary medical practice (SIQUEIRA-BATISTA et al, 2012a). In addition, in silico experiments are less costly and render bioethical questions related to research with human beings less insurmountable (BASTOS, 2013;POSSI, 2012).…”

Section: Introductionmentioning

confidence: 99%

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

Gomes¹,

Souza

Oliveira³

et al. 2015

Abakós

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A sepse representa um evento mórbido de extrema importância do ponto de vista clínico e de saúde pública, atingindo milhares de pessoas anualmente, no mundo. De uma perspectiva imunológica, os macrófagos são células extremamente importantes na interação Homo sapiens sapiens/ bactérias, ainda que muitos aspectos da atuação dessas células permaneçam aguardando elucidação. O presente artigo apresenta os requerimentos para a simulação computacional do macrófago no sistema AutoSimmune, permitindo o desenvolvimento de estudos sobre o papel dessa célula na sepse. Artificial macrophages and the human immune system computational modeling for the investigation of sepsis pathophysiology: Perspectives Abstract Sepsis represents a morbid event of fundamental importance both from clinical and public health point of view, affecting thousands of people worldwide annually. From the immunological perspective, macrophages are extremely important cells in the interaction Homo sapiens sapiens / bacteria. However, several aspects concerning the action of these cells await elucidation. This paper presents the requirements for computational simulation of macrophage in the AutoSimmune system, allowing the development of studies on the role of this cell in sepsis. Palavras

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Section: Macrophage In Sepsismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

Gomes¹,

Souza

Oliveira³

et al. 2015

Abakós

Self Cite

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“…Thus, all of the scheduled events should be executed and completed so that the next tick can occur, and so creating a synchronized simulation (POSSI, 2012;SIQUEIRA-BATISTA et al, 2014). In practice, during this period, all the agents change their positions, release substances and analyze their neighborhoods (all via a retrograde analysis of the previous tick).…”

Section: Computacional Approach: Research In Silico Using Multiagent mentioning

confidence: 99%

“…Thus, it is possible to realize the parenchymal tissue cells (yellow circles), migration portals (blue crosses) -blood and lymph vessels -, macrophages (white circles), lymphocyte T cytotoxic (green circles), B cells (pink circles), dendritic cells (pink star), neutrophils (white star), pathogen -e.g., Plasmodium -(red triangle) and tissue damage (red area) (Figure 4). This area simulates a microscopic slice of the parenchyma of a generic body, the place where occurs the first contact between the body's cells and the causative agent, and also the infection (POSSI, 2012;SIQUEIRA-BATISTA et al, 2014). The Lymph Node area refers to the node, and it is there that the antigens are presented to lymphocytes, facilitating their proliferation after antigen recognition (SOUZA, 2014).…”

Section: Computacional Approach: Research In Silico Using Multiagent mentioning

confidence: 99%

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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