CEREBROVASCULAR DISEASE RESEARCH CENTER

在下一年的支助期间，将对以下项目进行调查。 (1)一种双筒电极的研制 这些电极将被构造并 在大型神经元中进行穿透和测量的校准。 在实验上，所产生的电极将在大鼠大脑中进行测试， 在两种条件下测量细胞内pH：正常（轻度 麻醉）和短暂缺氧。 (2)多组分、异质、随机游走的持续发展 分子运输模型。 该程序目前模拟运输 从毛细血管内到神经元并在神经元内运输。 目前，该模型包括氧气、葡萄糖和乳酸盐转运。 的 %的新陈代谢和ATP的产生已被添加到模拟 并将于年内成立。 (3)凝血机制的流变学和生物化学方面， 特别是蛋白C等因子的作用，将得以完成。 一 将对可能的生产和利用机制进行动力学分析， 使用过去的结果和新的建模技术确定。 (4)将在Krogh气缸模型中对氧气消耗进行建模， 持续期间内的 此外，还将采用集总参数建模技术， 其直接目的是识别和关联氧气 在实验性缺氧中运输。 (5)将开发氢离子传输模型。 与 测量细胞内pH的能力和表观关系 在细胞死亡和累积pH之间，该模型将用于 证实实验数据并预测神经元死亡。

The following projects will be investigated during the next year of support. (1) Development of a double-barrelled electrode capable of measuring intracellular p02 and pH. These electrodes will be constructed and calibrated for penetration and measurement in large neurons. Experimentally, the electrodes produced will be tested in rat brain for measurement of intracellular pH in two conditions: normal (lightly anesthesized) and brief hypoxia. (2) Continue development of the multicomponent, heterogeneous, random walk model for molecular transport. This program currently models transport from within the capillary to the neuron and transport within the neuron. Presently, the model includes oxygen, glucose, and lactate transport. The per cent metabolism and the ATP generation has been added to the simulation and will be incorporated during the year. (3) The rheological and biochemical aspects of the clotting mechanism, particularly the role of factors such as protein C, will be completed. A kinetic analysis of possible production and utilization mechanisms will be determined using past results and new modeling techniques. (4) Modeling of oxygen consumption in Krogh cylinder models will be continued. In addition, a lumped parameter modeling technique will be initiated with the direct purpose of identifying and correlating oxygen transport during experimental hypoxia. (5) A model for transport of hydrogen ions will be developed. With the capability of measuring intracellular pH and the apparent relationship between cell death and cummulative pH, this model will be used to substantiate experimental data and predict neuron death.