机器学习引导的基于离子液体的复合体系统,用于双药物输送,在牛皮治疗中准氧化还原稳定和STAT3-PI3K轴
Meng Zeng1, Ping Deng1, Qian Yang1
1Chongqing Research Center for Pharmaceutical Engineering, Center for Pharmaceutical Development and Nanomedicine, College of Pharmacy, Chongqing Medical University, No.1, Yixueyuan Road, Yuzhong District, Chongqing, 400016, PR China.
Bioactive materials
|December 24, 2025
概括
这项研究引入了一种机器学习引导的离子液体系统,用于通过皮肤递送药物,通过向炎症和角质细胞增殖来有效治疗牛皮.
科学领域:
- 皮肤病学和纳米医学
- 计算化学和材料科学计算化学和材料科学
背景情况:
- 牛皮涉及过度反应性氧和物种 (RONS),激活STAT3和角质细胞增殖.
- 目前的治疗方法缺乏透皮疗效和向特异性,需要新的输送系统.
研究的目的:
- 使用机器学习引导的框架设计一种有效的透皮药物输送系统来治疗牛皮.
- 开发一种复合离子液 (CIL) 平台,用于同时向牛皮病变提供治疗剂.
主要方法:
- 利用机器学习进行超皮离子液体 (IL) 的虚拟选和设计.
- 开发了一种CIL系统,用于联合输送APTSTAT3-9R和催化酶 (CAT),释放硫化 (H2S).
- 研究的双重治疗策略:STAT3抑制和氧化还原平衡调节.
主要成果:
- 成功识别了高效的透皮IL,并开发了一个CIL输送平台.
- 已证明CIL@CA在体内有效地减轻IMQ诱导的牛皮症状.
- 展示了抑制STAT3和调节 redox/巨细胞两极分化的双重治疗作用.
结论:
- 一种基于ILs的新型ML驱动的药物递送系统为炎症性皮肤疾病提供了一个有前途的策略.
- 开发的CIL平台为牛皮治疗提供了有针对性的交付和双重治疗作用.
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