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脑缺血及再灌注过程中的一氧化氮扩散反应动力学研究

【作者】 甘卓慧

【导师】 郑筱祥;

【作者基本信息】 浙江大学 , 生物医学工程, 2004, 硕士

【摘要】 NO是一种由NOS催化L-精氨酸合成的生物信息分子,生物体内多种细胞可以合成NO。随着对一氧化氮(nitric oxide,NO)研究的深入,人们发现一氧化氮与多种疾病有关,如脑缺血、高血压、动脉粥样硬化、冠心病心绞痛等。进一步了解NO的变化规律和作用机制对这些疾病的进一步预防和治疗将起到积极的指导作用。 本文以脑缺血过程中NO的扩散—反应动力学为研究内容,以神经细胞为研究对象,以离体培养的神经细胞缺氧实验为基础,通过数学建模来探讨NO及相关物质的变化规律。在NO的扩散动力学研究中,在分析NO生化特性的基础上,模拟缺氧情况下神经细胞实验的NO生成,构建了脑缺血情况下海马区NO扩散动力学模型。在NO的反应动力学研究中,以脑缺血和脑缺血再灌注为特定生理环境,分析研究了神经细胞内NO及相关物质的生化反应,结合缺氧情况下离体神经细胞的NO、O2-检测实验,构建了脑缺血—脑缺血再灌注情况下神经细胞胞内的NO反应动力学模型。通过对仿真结果的分析,我们对NO的作用机制做了探讨。这些模型的建立为今后NO建模研究的进一步开展奠定了基础。

【Abstract】 Nitric Oxide(NO) is a biological messenger molecule formed via the oxidation of L-arginine to citrulline by various forms of NO synthase. The synthesis of NO is observed in a wide variety of mammalian cells. With the development of NO research , it has been found that NO is associated with many diseases, such as brain ischemia, hypertension, arteriosclerosis, miocardial infarction, coronary heart disease. More knowledges of NO transformation regular rule and NO action mechanism will help us defend and treat these diseases.Based on hypoxia experiments of cultured neurons in vitro, a NO diffusion kinetic mathematical model and a NO reaction kinetic mathematical model has been developed to study the transformation of NO and other relational molecules. With the analysis of NO chemical and physical character and simulation of NO generation in the hypoxia experiment of cultured neuron, a diffusion kinetic model was established to simulate NO diffusion from hippocampus in brain ischemia. With the analysis of chemical reactions about NO in brain ischemia and ischemia-reprefusion, based on hypoxia experiment of culturd neuron in vitro, a reaction kinetic model of neuron was established to simulate complex chemistry of NO, 02, ONOO" in brain ischemia and ischemia-reprefusion. Preliminary discussions about the simulation results were gived.

【关键词】 NOO-2ONOO-O2脑缺血扩散动力学反应动力学数学模型
【Key words】 NO02-ONOO~-02brain ischemiadiffusion kineticreaction kineticmathematical model
  • 【网络出版投稿人】 浙江大学
  • 【网络出版年期】2004年 03期
  • 【分类号】R363
  • 【下载频次】68
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