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自动化高通量合成载蛋白聚酸酐纳米粒子库。

Automated High-Throughput Synthesis of Protein-Loaded Polyanhydride Nanoparticle Libraries.

机构信息

Department of Chemical and Biological Engineering and Nanovaccine Institute , Iowa State University , Ames , Iowa 50011 , United States.

出版信息

ACS Comb Sci. 2018 May 14;20(5):298-307. doi: 10.1021/acscombsci.8b00008. Epub 2018 Apr 10.

DOI:10.1021/acscombsci.8b00008
PMID:29617113
Abstract

The development of high-throughput techniques and combinatorial libraries can facilitate rapid synthesis and screening of biomaterial-based nanocarriers for drug and vaccine delivery. This study describes a high-throughput method using an automated robot for synthesizing polyanhydride nanoparticles encapsulating proteins. Polyanhydrides are a class of safe and biodegradable polymers that have been widely used as drug and vaccine delivery vehicles. The robot contains a multiplexed homogenizer and has the capacity to handle parallel streams of monomer or polymer solutions to synthesize polymers and/or nanoparticles. Copolymer libraries were synthesized using the monomers sebacic acid, 1,6-bis( p-carboxyphenoxy)hexane, and 1,8-bis( p-carboxyphenoxy)-3,6-dioxactane and compared to conventionally synthesized copolymers. Nanoparticle libraries of varying copolymer compositions encapsulating the model antigen ovalbumin were synthesized using flash nanoprecipitation. The amount of the surfactant Span 80 was varied to test its effect on protein encapsulation efficiency as well as antigen release kinetics. It was observed that, although the amount of surfactant did not significantly affect protein release rate, its presence enhanced protein encapsulation efficiency. Protein burst and release kinetics from conventionally and combinatorially synthesized nanoparticles were similar even though particles synthesized using the high-throughput technique were smaller. Finally, it was demonstrated that the high-throughput method could be adapted to functionalize the surface of particle libraries to aid in the design and screening of targeted drug and vaccine delivery systems. These results suggest that the new high-throughput method is a viable alternative to conventional methods for synthesizing and screening protein and vaccine delivery vehicles.

摘要

高通量技术和组合文库的发展可以促进基于生物材料的纳米载体的快速合成和筛选,用于药物和疫苗的递送。本研究描述了一种使用自动化机器人合成包封蛋白质的聚酸酐纳米粒子的高通量方法。聚酸酐是一类安全可生物降解的聚合物,已被广泛用作药物和疫苗递送载体。该机器人包含一个多路匀浆器,能够处理单体或聚合物溶液的并行流,以合成聚合物和/或纳米粒子。使用单体癸二酸、1,6-双(对羧基苯氧基)己烷和 1,8-双(对羧基苯氧基)-3,6-二氧杂环己烷合成共聚物文库,并与常规合成的共聚物进行比较。使用快速成粒法合成了不同共聚物组成的包封模型抗原卵清蛋白的纳米粒子文库。改变表面活性剂司盘 80 的用量,以测试其对蛋白质包封效率以及抗原释放动力学的影响。结果表明,尽管表面活性剂的用量对蛋白质释放速率没有显著影响,但它的存在提高了蛋白质包封效率。尽管使用高通量技术合成的粒子较小,但常规和组合合成的纳米粒子的蛋白质突释和释放动力学相似。最后,证明该高通量方法可以适应于粒子文库表面的功能化,以辅助靶向药物和疫苗递送系统的设计和筛选。这些结果表明,新的高通量方法是合成和筛选蛋白质和疫苗递送载体的常规方法的可行替代方法。

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