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大鼠大脑皮层2-脱氧葡萄糖集总常数的列线图。

Nomogram for 2-deoxyglucose lumped constant for rat brain cortex.

作者信息

Pardridge W M, Crane P D, Mietus L J, Oldendorf W H

出版信息

J Cereb Blood Flow Metab. 1982;2(2):197-202. doi: 10.1038/jcbfm.1982.19.

Abstract

The quantitation of local cerebral metabolic rate of glucose with the 2-deoxyglucose technique of Sokoloff requires the use of a correction factor, or lumped constant. We have shown previously (Pardridge et al., 1982) that a simple model may be formulated to predict changes in the lumped constant that occur due to alterations in the distribution of glucose and 2-deoxyglucose in brain. Given experimentally observed values for brain and plasma glucose concentrations, the 2-deoxyglucose lumped constant may be determined from a nomogram constructed from knowledge of the blood-brain barrier transport constants (KM, Vmax, KD) for glucose and for 2-deoxyglucose. However, the nomogram is constructed from transport constants determined in the barbiturate-anesthetized state. The applicability of the nomogram to other physiologic states was examined in the present studies. Large changes in blood-brain barrier hexose transport constants do not appreciably alter the shape of the nomogram, if the changes in KM or Vmax for glucose or for 2-deoxyglucose are the same. Moreover, glucose and 2-deoxyglucose are both transported by the same hexose carrier, and selective changes in the transport of only one hexose have not been reported. Therefore, it is probable that the nomogram constructed from transport constants measured under barbiturate anesthesia is useful in predicting the lumped constant in a variety of physiologic states.

摘要

采用索科洛夫的2-脱氧葡萄糖技术对局部脑葡萄糖代谢率进行定量分析,需要使用一个校正因子,即集总常数。我们之前已经表明(帕德里奇等人,1982年),可以构建一个简单的模型来预测由于脑内葡萄糖和2-脱氧葡萄糖分布变化而导致的集总常数的变化。根据实验观察到的脑和血浆葡萄糖浓度值,可以根据由葡萄糖和2-脱氧葡萄糖的血脑屏障转运常数(KM、Vmax、KD)构建的列线图来确定2-脱氧葡萄糖集总常数。然而,该列线图是根据在巴比妥类麻醉状态下测定的转运常数构建的。在本研究中,我们检验了该列线图对其他生理状态的适用性。如果葡萄糖或2-脱氧葡萄糖的KM或Vmax变化相同,血脑屏障己糖转运常数的大幅变化不会明显改变列线图的形状。此外,葡萄糖和2-脱氧葡萄糖均由同一己糖载体转运,尚未有仅一种己糖转运发生选择性变化的报道。因此,根据巴比妥类麻醉下测得的转运常数构建的列线图很可能可用于预测多种生理状态下的集总常数。

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