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用于癌症治疗的基于多糖的肿瘤微环境响应型药物递送系统。

Polysaccharide-based tumor microenvironment-responsive drug delivery systems for cancer therapy.

作者信息

Wu Qimeng, Hu Yang, Yu Bing, Hu Hao, Xu Fu-Jian

机构信息

College of Chemistry and Chemical Engineering, College of Materials Science and Engineering, Institute of Biomedical Materials and Engineering, Qingdao University, Qingdao 266071, China.

Key Lab of Biomedical Materials of Natural Macromolecules (Beijing University of Chemical Technology), Ministry of Education, Beijing Laboratory of Biomedical Materials, College of Materials Science and Engineering, Beijing University of Chemical Technology, Beijing 100029, China.

出版信息

J Control Release. 2023 Oct;362:19-43. doi: 10.1016/j.jconrel.2023.08.019. Epub 2023 Aug 24.

Abstract

The biochemical indicators of tumor microenvironment (TME) that are different from normal tissues provide the possibility for constructing intelligent drug delivery systems (DDSs). Polysaccharides with good biocompatibility, biodegradability, and unique biological properties are ideal materials for constructing DDSs. Nanogels, micelles, organic-inorganic nanocomposites, hydrogels, and microneedles (MNs) are common polysaccharide-based DDSs. Polysaccharide-based DDSs enable precise control of drug delivery and release processes by incorporating TME-specific biochemical indicators. The classification and design strategies of polysaccharide-based TME-responsive DDSs are comprehensively reviewed. The advantages and challenges of current polysaccharide-based DDSs are summarized and the future directions of development are foreseen. The polysaccharide-based TME-responsive DDSs are expected to provide new strategies and solutions for cancer therapy and make important contributions to the realization of precision medicine.

摘要

肿瘤微环境(TME)中与正常组织不同的生化指标为构建智能药物递送系统(DDS)提供了可能性。具有良好生物相容性、生物降解性和独特生物学特性的多糖是构建DDS的理想材料。纳米凝胶、胶束、有机-无机纳米复合材料、水凝胶和微针(MNs)是常见的基于多糖的DDS。基于多糖的DDS通过纳入TME特异性生化指标,能够精确控制药物递送和释放过程。本文全面综述了基于多糖的TME响应性DDS的分类和设计策略。总结了当前基于多糖的DDS的优点和挑战,并展望了未来的发展方向。基于多糖的TME响应性DDS有望为癌症治疗提供新的策略和解决方案,并为实现精准医学做出重要贡献。

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