RESUMO
Modeling in biology is mainly grounded in mathematics, and specifically on ordinary differential equations (ODE). The programming language approach is a complementary and emergent tool to analyze the dynamics of biological networks. Here we focus on BlenX showing how it is possible to easily re-use ODE models within this framework. A budding yeast cell cycle example demonstrates the advantages of using a stochastic approach. Finally, some hints are provided on how the automatically translated model can take advantage of the full power of BlenX to analyze the control mechanisms of the cell cycle machinery.
Assuntos
Modelos Biológicos , Biometria , Ciclo Celular , Simulação por Computador , Linguagens de Programação , Saccharomycetales/citologia , Processos Estocásticos , Biologia de SistemasRESUMO
Several studies have shown a relationship between BISH and cerebrovascular events, but no studies have investigated a relationship with cognitive function. The aim was to assess the cognitive function in the elderly with recent BISH. According to WHO Guidelines (1999), we selected 10 elderly normotensives, 10 elderly with recently diagnosed (<2 years) BISH, and 10 elderly with recently diagnosed (<2 years) isolated systolic hypertension (ISH). They were submitted to 24-hr ambulatory blood pressure (BP) monitoring (ABPM) and to cognitive assessment by mini mental state examination (MMSE) and the recording of brain ERP, of type N2 and P300. The elderly with BISH, compared to normotensives, showed N2 wave latency values significantly higher, but similar P300 potential latency values and MMSE scores. The elderly with ISH showed N2 and P300 latency significantly higher than the normotensives. The gradual increase of the ERP latency values of the BISH and ISH elderly, in comparison to the normotensives, seems to indicate a gradual alteration of the cognitive processes related to the increase of BP.
Assuntos
Encéfalo/fisiopatologia , Transtornos Cognitivos/epidemiologia , Potenciais Evocados/fisiologia , Hipertensão/epidemiologia , Hipertensão/fisiopatologia , Idoso , Antropometria , Monitorização Ambulatorial da Pressão Arterial/métodos , Transtornos Cognitivos/diagnóstico , Humanos , Hipertensão/diagnóstico , Testes Neuropsicológicos , Índice de Gravidade de DoençaRESUMO
This paper presents a stochastic model of the lymphocyte recruitment in inflammed brain microvessels. The framework used is based on stochastic process algebras for mobile systems. The automatic tool used in the simulation is the BioSpi. We compare our approach with classical hydrodinamical specifications.