Iqbal Umar, Abulrob Abedelnasser, Stanimirovic Danica B
Cerebrovascular Research Group, Institute for Biological Sciences, National Research Council of Canada, Ottawa, ON, Canada.
Methods Mol Biol. 2011;686:465-81. doi: 10.1007/978-1-60761-938-3_24.
The development of imaging and therapeutic agents against neuronal targets is hampered by the limited access of probes into the central nervous system across the blood-brain barrier (BBB). The evaluation of drug penetration into the brain in experimental models often requires complex procedures, including drug radiolabeling, as well as determinations in multiple animals for each condition or time point. Prospective in vivo imaging of drug biodistribution may provide an alternative to "classical" pharmacokinetics and biodistribution studies in that a contrast-enhanced imaging signal could serve as a surrogate for the amount of drug or biologic delivered to the organ of interest. For the brain-targeting applications, it is necessary to develop formulation strategies that enable a simultaneous drug and contrast agent delivery across the BBB. In this chapter, we describe methods for encapsulating drugs into liposome nanocarriers with surface display of both the imaging contrast agent for one or multiple imaging modalities and the single-domain antibody that undergoes receptor-mediated transcytosis across the BBB. Contrast-enhanced imaging signal detected in the brain after intravenous injection of such formulation(s) is proportional to the amount of drug delivered into the brain parenchyma. This method allows for a prospective, noninvasive estimation of drug delivery, accumulation, and elimination from the brain.
血脑屏障(BBB)限制了探针进入中枢神经系统,这阻碍了针对神经元靶点的成像和治疗药物的开发。在实验模型中评估药物进入大脑的情况通常需要复杂的程序,包括药物放射性标记,以及针对每种条件或时间点在多只动物身上进行测定。药物生物分布的前瞻性体内成像可能为“经典”药代动力学和生物分布研究提供一种替代方法,因为对比增强成像信号可以作为输送到感兴趣器官的药物或生物制剂数量的替代指标。对于脑靶向应用,有必要开发能够同时将药物和造影剂输送穿过血脑屏障的制剂策略。在本章中,我们描述了将药物封装到脂质体纳米载体中的方法,该脂质体纳米载体表面展示了用于一种或多种成像模式的成像造影剂以及通过受体介导的转胞吞作用穿过血脑屏障的单域抗体。静脉注射此类制剂后在大脑中检测到的对比增强成像信号与输送到脑实质的药物量成正比。这种方法允许对药物从大脑的递送、积累和消除进行前瞻性、非侵入性估计。