Transvascular transport of nanocarriers for tumor delivery

被引:8
|
作者
Xin Li [1 ]
Yong Hu [2 ]
Xingcai Zhang [3 ]
Xiangyang Shi [3 ]
Wolfgang J. Parak [4 ]
Andrij Pich [5 ]
机构
[1] DWI-Leibniz-Institute for Interactive Materials,Institute of Technical and Macromolecular Chemistry
[2] RWTH Aachen University,Department of Polymeric Materials, School of Materials Science and Engineering
[3] Tongji University,Department of Materials Science and Engineering
[4] Stanford University,Shanghai Engineering Research Center of Nano
[5] Donghua University,Biomaterials and Regenerative Medicine, College of Biological Science and Medical Engineering
[6] University of Hamburg,Center for Hybrid Nanostructures (CHyN)
[7] Maastricht University,Aachen Maastricht Institute for Biobased Materials
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D O I
10.1038/s41467-024-52416-0
中图分类号
学科分类号
摘要
Nanocarriers (NCs) play a crucial role in delivering theranostic agents to tumors, making them a pivotal focus of research. However, the persistently low delivery efficiency of engineered NCs has been a significant challenge in the advancement of nanomedicine, stirring considerable debate. Transvascular transport is a critical pathway for NC delivery from vessels to tumors, yet a comprehensive understanding of the interactions between NCs and vascular systems remains elusive. In recent years, considerable efforts have been invested in elucidating the transvascular transport mechanisms of NCs, leading to promising advancements in tumor delivery and theranostics. In this context, we highlight various delivery mechanisms, including the enhanced permeability and retention effect, cooperative immune-driven effect, active transcytosis, and cell/bacteria-mediated delivery. Furthermore, we explore corresponding strategies aimed at enhancing transvascular transport of NCs for efficient tumor delivery. These approaches offer intriguing solutions spanning physicochemical, biological, and pharmacological domains to improve delivery and therapeutic outcomes. Additionally, we propose a forward-looking delivery framework that relies on advanced tumor/vessel models, high-throughput NC libraries, nano-bio interaction datasets, and artificial intelligence, which aims to guide the design of next-generation carriers and implementation strategies for optimized delivery.
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