The Intracellular and Extracellular Microenvironment of Tumor Site: The Trigger of Stimuli-Responsive Drug Delivery Systems

IF 9.1 2区 材料科学 Q1 CHEMISTRY, PHYSICAL
Xiaodong Jing, Hao Hu, Yanzhen Sun, Bing Yu, Hailin Cong, Youqing Shen
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引用次数: 47

Abstract

The tumor microenvironment (TME), including intracellular and extracellular microenvironment, contains many biochemical indicators (such as acidity/alkalinity, oxygen content, and enzymatic activity) that are different from the normal physiological environment. These abnormal biochemical indicators can accelerate the heterogeneity of tumors, but on the other hand, they also provide opportunities for the design of intelligent drug delivery systems (DDSs). The TME-responsive DDSs have shown great potential in reducing the side effects of chemotherapy and improving the curative effect of tumors. In this review, the abnormal biochemical indicators of TME are introduced in detail from both the extracellular and intracellular aspects. In view of the various physiological barriers encountered during drug delivery, the strategy of constructing TME-responsive DDSs is discussed. By summarizing the typical research progress, the authors prospect the development of TME-responsive DDS in the future.

肿瘤部位的细胞内和细胞外微环境:刺激反应性药物传递系统的触发因素
肿瘤微环境(tumor microenvironment, TME)包括细胞内微环境和细胞外微环境,包含了许多不同于正常生理环境的生化指标(如酸碱度、氧含量、酶活性等)。这些异常生化指标在加速肿瘤异质性的同时,也为智能给药系统(dds)的设计提供了契机。tme反应性dds在减少化疗副作用和提高肿瘤疗效方面显示出巨大的潜力。本文从细胞外和细胞内两方面详细介绍了TME的异常生化指标。针对药物传递过程中遇到的各种生理障碍,讨论了构建tme响应型dds的策略。在总结典型研究进展的基础上,展望了tme响应型DDS的发展前景。
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来源期刊
Small Methods
Small Methods Materials Science-General Materials Science
CiteScore
17.40
自引率
1.60%
发文量
347
期刊介绍: Small Methods is a multidisciplinary journal that publishes groundbreaking research on methods relevant to nano- and microscale research. It welcomes contributions from the fields of materials science, biomedical science, chemistry, and physics, showcasing the latest advancements in experimental techniques. With a notable 2022 Impact Factor of 12.4 (Journal Citation Reports, Clarivate Analytics, 2023), Small Methods is recognized for its significant impact on the scientific community. The online ISSN for Small Methods is 2366-9608.
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