MICROENVIRONMENT OF THE MAMMALIAN RETINA

拟议的工作涉及哺乳动物视网膜的氧合作用和 视神经头，以及光感受器的新陈代谢 氧利用及其对胞外钾的影响。的目标是 项目的单独组成部分是1)调查流程 负责光感受器的高耗氧量，2) 建立一个将氧气测量与代谢联系起来的数学模型 变化，3)研究灵长类动物中心凹的氧气，4)研究 视神经头在正常和正常状态下的氧合作用 眼压升高，以及5)研究碳的影响 二氧化碳对视网膜氧合的影响。 视网膜供氧的变化与许多视网膜有关 疾病和对正常视网膜氧合的了解可能会提供 洞察这些疾病的机制和治疗方法。特别是， 对灵长类动物中心凹氧分布的测量可能会产生 与新陈代谢差异是否会导致 人的中心凹比其他视网膜更容易发生退行性变化 地区。此外，青光眼对视神经的损害机制是 有争议，这里使用的技术可以补充其他类型的 对这一重要问题的研究。 微电极将被用来记录氧分压、钾 麻醉后正常眼的血药浓度和电活动 猫和猴子。待研究的自变量包括 光适应、血气和眼压。数据将是 通过数学分析来加深我们对氧气的理解 利用率。

The proposed work concerns the oxygenation of the mammalian retina and optic nerve head, and the metabolism of photoreceptors with regard to their oxygen utilization and effect on extracellular potassium. The aims of individual components of the project are 1) to investigate the processes responsible for the high oxygen consumption of the photoreceptors, 2) to develop a mathematical model linking oxygen measurements with metabolic changes, 3) to study the oxygenation of the fovea in a primate, 4) to study the oxygenation of the optic nerve head under conditions of normal and elevated intraocular pressures, and 5) to study the effects of carbon dioxide on retinal oxygenation. Changes in the oxygen supply to the retina are implicated in many retinal diseases, and an understanding of normal retinal oxygenation may provide insight into mechanisms and therapies for these diseases. In particular, measurements of foveal oxygen distribution in the primate may yield information relevant to the question of whether metabolic differences make the human fovea more susceptible to degenerative changes than other retinal regions. Also, the mechanism of glaucomatous damage to the optic nerve is controversial, and the techniques used here can complement other types of studies on this important question. Microelectrodes will be used to record oxygen tension, potassium concentration and electrical activity of the intact eye of anesthetized cats and monkeys. Independent variables to be studied include the state of light adaptation, blood gases and intraocular pressure. Data will be subjected to mathematical analysis to enhance our understanding of oxygen utilization.