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人体中D-葡萄糖血脑屏障转运的动力学分析:示踪剂回流和毛细血管异质性存在下的定量评估

Kinetic analysis of blood-brain barrier transport of D-glucose in man: quantitative evaluation in the presence of tracer backflux and capillary heterogeneity.

作者信息

Knudsen G M, Pettigrew K D, Paulson O B, Hertz M M, Patlak C S

机构信息

Departments of Neurology, Rigshospitalet, Copenhagen, Denmark.

出版信息

Microvasc Res. 1990 Jan;39(1):28-49. doi: 10.1016/0026-2862(90)90057-x.

Abstract

The present study deals with the analysis of double-indicator curves for blood-brain barrier studies. Two mathematical models which provide for the estimation of backflux of tracer from brain to blood in conjunction with heterogeneity of the cerebral capillary and large-vessel transit times were used for the analysis of D-glucose transport on the basis of cerebral venous outflow curves. The two models, non-mixed and well mixed, arise from differing assumptions regarding the effective region surrounding the capillary lumen. An approximate solution for the well-mixed model was developed to increase computation speed. Fourteen D-glucose outflow curves and their reference curves were obtained from nine patients and subsequently analyzed by the two models. Further, in five patients data were obtained under different physiological conditions: normal, decreased, and increased cerebral blood flow rates. The results support the appropriateness of the well-mixed model and heterogeneity of the cerebral capillary transit times. The median value for the average extraction was 0.18 and the median distribution space was 0.14. The latter value is similar to the brain extracellular space that has been estimated by other methods. The extraction values calculated from the peak of the venous outflow curves were significantly smaller than the whole-brain average extraction values estimated with the well-mixed model (0.157 vs 0.178, P less than 0.0005). In summary: (a) capillary heterogeneity is present in the human brain and changes with cerebral blood flow; (b) after crossing the blood-brain barrier, D-glucose distributes in the brain extracellular fluid; and (c) the extraction curve is significantly influenced by backflux.

摘要

本研究涉及血脑屏障研究中双指示剂曲线的分析。基于脑静脉流出曲线,使用了两种数学模型来分析D-葡萄糖转运,这两种模型可结合脑毛细血管和大血管转运时间的异质性来估计示踪剂从脑到血的反流。非混合模型和充分混合模型这两种模型源于对围绕毛细血管腔的有效区域的不同假设。为提高计算速度,开发了充分混合模型的近似解。从9名患者获得了14条D-葡萄糖流出曲线及其参考曲线,随后用这两种模型进行分析。此外,在5名患者中,在不同生理条件下获取了数据:正常、降低和增加的脑血流速率。结果支持充分混合模型的适用性以及脑毛细血管转运时间的异质性。平均提取率的中位数为0.18,分布空间的中位数为0.14。后一个值与通过其他方法估计的脑细胞外空间相似。从静脉流出曲线峰值计算出的提取值明显小于用充分混合模型估计的全脑平均提取值(0.157对0.178,P<0.0005)。总之:(a)人脑存在毛细血管异质性,且随脑血流变化;(b)D-葡萄糖穿过血脑屏障后分布于脑细胞外液;(c)提取曲线受反流影响显著。

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