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基于大环两亲物的自组装纳米粒子用于肿瘤比色递药组合。

Macrocyclic-Amphiphile-Based Self-Assembled Nanoparticles for Ratiometric Delivery of Therapeutic Combinations to Tumors.

机构信息

College of Chemistry, Key Laboratory of Functional Polymer Materials (Ministry of Education), State Key Laboratory of Medicinal Chemical Biology, Nankai University, Tianjin, 300071, China.

College of Chemistry, Key Laboratory of Functional Polymer Materials (Ministry of Education), State Key Laboratory of Elemento-Organic Chemistry, Nankai University, Tianjin, 300071, China.

出版信息

Adv Mater. 2021 Mar;33(12):e2007719. doi: 10.1002/adma.202007719. Epub 2021 Feb 18.

Abstract

Combination chemotherapy refers to the use of multiple drugs to treat cancer. In this therapy, the optimal ratio of the drugs is essential to achieve drug synergism and the desired therapeutic effects. However, most delivery strategies are unable to precisely control the ratio of the drugs during the drug loading and delivery processes, resulting in inefficient synergy and unpredictable efficacy. Herein, a macrocyclic-amphiphile-based self-assembled nanoparticle (MASN) that achieves precise loading and ratiometric delivery of therapeutic combinations is presented. By integrating multiple macrocyclic cavities within a single nanoparticle, the MASN can load multiple drug molecules via the host-guest interaction, and the ratio of the drugs loaded can be predicted with their initial concentrations and characteristic binding affinity. Moreover, MASNs are readily degraded under a hypoxic microenvironment, allowing spontaneous release of the drugs upon reaching tumor tissues. With precise drug loading and controlled release mechanisms, MASNs achieve ratiometric delivery of multiple commercial drugs to tumors, thereby achieving optimal anti-tumor effects. Since the optimal drug ratio of a therapeutic combination can be quickly determined in vitro, MASNs can translate this optimal ratio to the therapeutic benefits in vivo, providing a potential platform for the rapid development of effective combination cancer therapies involving multiple drugs.

摘要

联合化疗是指使用多种药物治疗癌症。在这种疗法中,药物的最佳比例对于实现药物协同作用和所需的治疗效果至关重要。然而,大多数输送策略在药物加载和输送过程中无法精确控制药物的比例,导致协同作用效率低下,疗效不可预测。在此,提出了一种基于大环两亲嵌段共聚物的自组装纳米粒子(MASN),可实现治疗组合的精确加载和比例输送。通过在单个纳米粒子内集成多个大环空腔,MASN 可以通过主客体相互作用加载多个药物分子,并且可以根据它们的初始浓度和特征结合亲和力来预测加载的药物的比例。此外,MASN 在缺氧微环境下容易降解,一旦到达肿瘤组织,就会自发释放药物。通过精确的药物加载和控制释放机制,MASN 实现了多种商业药物向肿瘤的比例输送,从而实现了最佳的抗肿瘤效果。由于治疗组合的最佳药物比例可以在体外快速确定,因此 MASN 可以将这种最佳比例转化为体内的治疗益处,为涉及多种药物的有效联合癌症治疗的快速发展提供了一个潜在的平台。

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