Adenot M, Perriere N, Scherrmann J M, Lahana R
Synt:em, Nîmes, Paris, France.
Chemotherapy. 2007;53(1):70-2. doi: 10.1159/000098421. Epub 2007 Jan 3.
Except for a few well-documented CNS therapeutics, quantitative data on blood-brain barrier (BBB) permeation is incomplete, unreliable or nonexistent and this is a major impediment in BBB modeling. Furthermore, only the passive diffusion component is generally taken into account. Three techniques of modeling (in vivo, in vitro and in silico) were set up and compared. The in silico predicted permeation of 287 anti-infective drugs has been faced to clinical observations. Good correlations were observed between in vitro permeability coefficients, influx transfer coefficients from in vivo studies and Pe scores from the computational model. High Pe score values are associated with an increase of reported CNS side effects.
除了少数有充分文献记载的中枢神经系统治疗药物外,关于血脑屏障(BBB)渗透的定量数据不完整、不可靠或根本不存在,这是血脑屏障建模的一个主要障碍。此外,通常只考虑被动扩散成分。建立并比较了三种建模技术(体内、体外和计算机模拟)。计算机模拟预测的287种抗感染药物的渗透性已与临床观察结果进行了对比。体外渗透系数、体内研究的流入转运系数与计算模型的Pe分数之间观察到良好的相关性。高Pe分数值与报告的中枢神经系统副作用增加有关。