基于纳米材料的药物递送系统:从智能递送到临床转化与精准纳米医学
Nanomaterial-based drug delivery systems: From intelligent delivery to clinical translation and precision nanomedicine
这篇综述指出,纳米药物递送系统的临床表现不仅取决于载药和释放,还受蛋白冠演化、免疫识别、生物屏障穿越、细胞内转运、生产控制和监管适配等因素影响。文章横向比较了脂质纳米颗粒、聚合物纳米颗粒、无机纳米材料、细胞外囊泡和仿生纳米载体在载荷兼容性、靶向潜力、循环行为、可放大性、临床成熟度和监管状态方面的差异,并评估了被动、主动、仿生和器官选择性靶向策略及肝外递送等新进展。作者还整合了已批准产品的量化经验与临床失败案例,比较美国、欧洲、日本、中国和ICH监管框架,并提出以生物学预测性设计、适配的安全性评价、可放大的GMP生产和早期监管沟通为核心的转化路线图。
为什么推荐给您:纳米递送领域综述,梳理转化与监管经验,属常规知识整合
不需要生物学背景,多打比方
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摘要Abstract
Nanomaterial-based drug delivery systems (NDDS) have become enabling technologies for small-molecule reformulation, RNA medicines, vaccines, gene editing, immunotherapy, and regenerative therapeutics. Their clinical performance, however, is determined not only by cargo loading and release but also by protein-corona evolution, immune recognition, biological-barrier navigation, intracellular trafficking, manufacturing control, and regulatory fit. This review provides a cross-platform comparison of lipid nanoparticles, polymeric nanoparticles, inorganic nanomaterials, extracellular vesicles (EVs), and biomimetic nanocarriers with respect to cargo compatibility, targeting potential, circulation behavior, scalability, clinical maturity, and regulatory status. Passive, active, biomimetic, and organ-selective targeting strategies are critically compared, and recent advances in extrahepatic lipid nanoparticle delivery, biodegradable ionizable lipids, programmable polymers, EV manufacturing, and nano-bio interactions are evaluated. We further integrate disease applications with quantitative lessons from approved products and representative clinical attrition, and compare regulatory expectations across major US, European, Japanese, Chinese, and ICH frameworks. Emerging computational approaches-including high-throughput screening, machine-learning-guided material discovery, autonomous formulation laboratories, generative design, and digital twins-are discussed alongside their validation requirements. A structured translational roadmap is proposed that prioritizes biologically predictive design, fit-for-purpose safety assessment, scalable good manufacturing practice production, early regulatory alignment, and clinically meaningful benefit over unnecessary structural complexity.