Booth R, Kim H
Department of Bioengineering, University of Utah, SMBB 3100, 36 S. Wasatch Dr., Salt Lake City, UT, 84112, USA,
Ann Biomed Eng. 2014 Dec;42(12):2379-91. doi: 10.1007/s10439-014-1086-5. Epub 2014 Aug 13.
This paper presents the permeability analysis of neuroactive drugs and correlation with in vivo brain/plasma ratios in a dynamic microfluidic blood-brain barrier (BBB) model. Permeability of seven neuroactive drugs (Ethosuximide, Gabapentin, Sertraline, Sunitinib, Traxoprodil, Varenicline, PF-304014) and trans-endothelial electrical resistance (TEER) were quantified in both dynamic (microfluidic) and static (transwell) BBB models, either with brain endothelial cells (bEnd.3) in monoculture, or in co-culture with glial cells (C6). Dynamic cultures were exposed to 15 dyn/cm(2) shear stress to mimic the in vivo environment. Dynamic models resulted in significantly higher average TEER (respective 5.9-fold and 8.9-fold increase for co-culture and monoculture models) and lower drug permeabilities (average respective decrease of 0.050 and 0.052 log(cm/s) for co-culture and monoculture) than static models; and co-culture models demonstrated higher average TEER (respective 90 and 25% increase for static and dynamic models) and lower drug permeability (average respective decrease of 0.063 and 0.061 log(cm/s) for static and dynamic models) than monoculture models. Correlation of the resultant logP e values [ranging from -4.06 to -3.63 log(cm/s)] with in vivo brain/plasma ratios (ranging from 0.42 to 26.8) showed highly linear correlation (R (2) > 0.85) for all model conditions, indicating the feasibility of the dynamic microfluidic BBB model for prediction of BBB clearance of pharmaceuticals.
本文介绍了在动态微流控血脑屏障(BBB)模型中神经活性药物的渗透性分析及其与体内脑/血浆比率的相关性。在动态(微流控)和静态(Transwell)BBB模型中,对七种神经活性药物(乙琥胺、加巴喷丁、舍曲林、舒尼替尼、曲唑普利、伐尼克兰、PF - 304014)的渗透性和跨内皮电阻(TEER)进行了量化,模型中脑内皮细胞(bEnd.3)采用单培养或与神经胶质细胞(C6)共培养。动态培养暴露于15 dyn/cm²的剪切应力下以模拟体内环境。与静态模型相比,动态模型导致平均TEER显著更高(共培养和单培养模型分别增加5.9倍和8.9倍),药物渗透性更低(共培养和单培养分别平均降低0.050和0.052 log(cm/s));与单培养模型相比,共培养模型显示平均TEER更高(静态和动态模型分别增加90%和25%),药物渗透性更低(静态和动态模型分别平均降低0.063和0.061 log(cm/s))。所得logPe值[-4.06至-3.63 log(cm/s)]与体内脑/血浆比率(0.42至26.8)的相关性表明,在所有模型条件下均具有高度线性相关性(R²>0.85),这表明动态微流控BBB模型可用于预测药物的BBB清除率。