优化神经保护性纳米结构脂质载体通过人工神经网络进行皮肤传递
Saloni Dalwadi1, Vaishali Thakkar2, Bhupendra Prajapati3
1Gujarat Technological University, Ahmedabad, Gujarat, 382424, India.
Pharmaceutical nanotechnology
|April 15, 2024
概括
这项研究优化了纳米结构脂质载体 (NLCs) 用于通过皮肤输送阿尔茨海默病 (AD) 药物. 优化的NLC显示了通过提高药物循环和减少副作用来有效管理痴呆症的潜力.
科学领域:
- 制药科学 制药科学
- 药物输送系统 药物输送系统
- 纳米技术纳米技术
背景情况:
- 阿尔茨海默病 (AD) 是一种进展性神经退行性疾病,影响认知功能.
- 目前的治疗涉及诸如多尼佩西尔HCl和Memantine HCl之类的药物,往往具有全身副作用.
- 纳米结构脂质载体 (NLCs) 为改善药物循环和最大限度地减少副作用提供了一个有希望的方法.
研究的目的:
- 优化纳米结构脂质载体 (NLCs) 用于通过皮肤输送多尼佩西尔HCl和美曼丁HCl.
- 利用数据挖掘工具,包括人工神经网络 (ANN) 和盒式设计 (BBD),以优化配方.
- 通过改善药物输送来增强神经保护和管理痴呆症症状.
主要方法:
- 通过高速均质化和超声波来制定NLC.
- 使用盒式设计 (BBD) 和人工神经网络 (ANN) 来进行优化.
- 关键变量包括脂质比率,表面活性剂度和同质化器速度 (RPM).
主要成果:
- 配制的NLC显示颗粒大小在67.0±0.45到142.4±0.52nm之间.
- 这两种药物的封装效率 (%EE) 超过了75%,Zeta潜力为-26±0.36mV.
- 透性研究表明药物释放时间延长,表明皮肤透率提高.
结论:
- NLC 是一种可行的载体系统,可以通过皮肤递送药物,促进更深的皮肤透和全身循环.
- 这种配方对与阿尔茨海默病相关的痴呆症的有效管理具有重大潜力.
- ANN和BBD是有效的数据挖掘工具,用于系统的NLC配方开发和优化.
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