Data Management Schema Design for Effective Nanoparticle Formulation for Neurotherapeutics.

Data Management Schema Design for Effective Nanoparticle Formulation for Neurotherapeutics.
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神经治疗有效纳米颗粒配方的数据管理模式设计。

DOI:
10.1002/aic.17459
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发表时间:
2021
期刊:
AIChE journal. American Institute of Chemical Engineers
影响因子:
--
通讯作者:
Nance,Elizabeth
Nance,Elizabeth
中科院分区:
--
文献类型:
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作者:
Helmbrecht,Hawley;Xu,Nuo;Liao,Rick;Nance,Elizabeth

文献摘要

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由于纳米药物与大脑环境之间复杂的动态交互空间,纳米治疗从临床前研究到临床应用的转化是困难的。为了改善翻译,有必要在临床前研究中增加对纳米制剂-大脑相互作用的了解。我们开发了一个nanoformation-brain数据库,并根据实验数据编写查询,以连接神经治疗的复杂物理,化学和生物学特征。我们查询了数据库,以根据特定的物理特性(包括尺寸、多分散指数和zeta电位)选择纳米制剂,这些物理特性能够有效渗透到大脑中。此外,我们还展示了查询数据库以返回选定纳米制剂特征的能力,包括纳米制剂方法或方法变量,如表面活性剂、聚合物、载药量和超声处理时间。最后,我们展示了我们的数据库产生纳米颗粒制剂参数与生物学结果相关性的能力,包括纳米颗粒对培养脑切片中细胞活力的影响。
Translation of nanotherapeutics from preclinical research to clinical application is difficult due to the complex and dynamic interaction space between the nanotherapeutic and the brain environment. To improve translation, increased insight into nanoformulation‐brain interactions in preclinical research is necessary. We developed a nanoformulation‐brain database and wrote queries to connect the complex physical, chemical, and biological features of neurotherapeutics based on experimental data. We queried the database to select nanoformulations based on specific physical characteristics that enable effective penetration within the brain, including size, polydispersity index, and zeta potential. Additionally, we demonstrate the ability to query the database to return select nanoformulation characteristics, including nanoformulation methodology or methodological variables such as surfactant, polymer, drug loading, and sonication times. Finally, we show the capacity of our database to produce correlations relating nanoparticle formulation parameters to biological outcomes, including nanotherapeutic impact on cell viability in cultured brain slices.