Tumor Exosomes Reprogrammed by Low pH Are Efficient Targeting Vehicles for Smart Drug Delivery and Personalized Therapy against their Homologous Tumor.
Tumor Exosomes Reprogrammed by Low pH Are Efficient Targeting Vehicles for Smart Drug Delivery and Personalized Therapy against their Homologous Tumor.
复制标题
低pH值重编程的肿瘤外泌体是针对同源肿瘤的智能药物输送和个性化治疗的有效靶向载体
DOI:
10.1002/advs.202002787
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发表时间:
2021-05
期刊:
影响因子:
--
通讯作者:
Ma G
中科院分区:
文献类型:
--
作者:
Gong C;Zhang X;Shi M;Li F;Wang S;Wang Y;Wang Y;Wei W;Ma G
As membrane‐bound extracellular vesicles, exosomes have targeting ability for specific cell types, and the cellular environment strongly impacts their content and uptake efficiency. Inspired by these natural properties, the impacts of various cellular stress conditions on the uptake efficiency of tumor iterated exosomes are evaluated, and low‐pH treatment caused increased uptake efficiency and retained cell‐type specificity is found. Lipidomics analyses and molecular dynamics simulations reveal a glycerolipid self‐aggregation‐based mechanism for the enhanced homologous uptake. Furthermore, these low‐pH reprogrammed exosomes are developed into a smart drug delivery platform, which is capable of specifically targeting tumor cells and selectively releasing diverse chemodrugs in response to the exosome rupture by the near‐infrared irradiance‐triggered burst of reactive oxygen species. This platform exerts safe and enhanced antitumor effects demonstrated by multiple model mice experiments. These results open a new avenue to reprogram exosomes for smart drug delivery and potentially personalized therapy against their homologous tumor. Tumor exosomes treated by low‐pH condition can enhance their uptake efficiency and retain cell‐type specificity for their parent cells based on a glycerolipid self‐aggregation‐based mechanism. They are developed as a smart drug delivery platform, specifically targeting tumor cells and selectively releasing diverse chemodrugs in response to the near‐infrared irradiance, to achieve safe and enhanced antitumor effects.
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影响因子:
46.9
作者:
Alvarez-Erviti, Lydia;Seow, Yiqi;Wood, Matthew J. A.
通讯作者:
Wood, Matthew J. A.
DOI:
10.1126/science.aau6977
发表时间:
2020-02-07
期刊:
Science (New York, N.Y.)
影响因子:
--
作者:
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通讯作者:
LeBleu VS
影响因子:
29.4
作者:
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通讯作者:
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影响因子:
37.3
作者:
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通讯作者:
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影响因子:
3.8
作者:
King HW;Michael MZ;Gleadle JM
通讯作者:
Gleadle JM