脂质体
血脑屏障
聚乙二醇化
PEG比率
聚乙二醇
体外
生物物理学
药理学
化学
生物化学
医学
生物
中枢神经系统
神经科学
财务
经济
作者
Naoya Kato,Sakura Yamada,Rino Suzuki,Yoshiki Iida,Makoto Matsumoto,Shintaro Fumoto,Hidetoshi Arima,Hidefumi Mukai,Shigeru Kawakami
出处
期刊:Drug Delivery
[Taylor & Francis]
日期:2023-01-31
卷期号:30 (1)
被引量:19
标识
DOI:10.1080/10717544.2023.2173333
摘要
Liposomes are versatile carriers that can encapsulate various drugs; however, for delivery to the brain, they must be modified with a targeting ligand or other modifications to provide blood-brain barrier (BBB) permeability, while avoiding rapid clearance by reticuloendothelial systems through polyethylene glycol (PEG) modification. BBB-penetrating peptides act as brain-targeting ligands. In this study, to achieve efficient brain delivery of liposomes, we screened the functionality of eight BBB-penetrating peptides reported previously, based on high-throughput quantitative evaluation methods with in vitro BBB permeability evaluation system using Transwell, in situ brain perfusion system, and others. For apolipoprotein E mimetic tandem dimer peptide (ApoEdp), which showed the best brain-targeting and BBB permeability in the comparative evaluation of eight peptides, its lipid conjugate with serine-glycine (SG)5 spacer (ApoEdp-SG-lipid) was newly synthesized and ApoEdp-modified PEGylated liposomes were prepared. ApoEdp-modified PEGylated liposomes were effectively associated with human brain capillary endothelial cells via the ApoEdp sequence and permeated the membrane in an in vitro BBB model. Moreover, ApoEdp-modified PEGylated liposomes accumulated in the brain 3.9-fold higher than PEGylated liposomes in mice. In addition, the ability of ApoEdp-modified PEGylated liposomes to localize beyond the BBB into the brain parenchyma in mice was demonstrated via three-dimensional imaging with tissue clearing. These results suggest that ApoEdp-SG-lipid modification is an effective approach for endowing PEGylated liposomes with the brain-targeting ability and BBB permeability.
科研通智能强力驱动
Strongly Powered by AbleSci AI