中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Engineered biomimetic nanoparticles achieve targeted delivery and efficient metabolism-based synergistic therapy against glioblastoma

文献类型:期刊论文

作者Lu, Guihong1,2; Wang, Xiaojun2; Li, Feng2,3; Wang, Shuang2; Zhao, Jiawei2; Wang, Jinyi1; Liu, Jing1; Lyu, Chengliang2; Ye, Peng2; Tan, Hui1,4
刊名NATURE COMMUNICATIONS
出版日期2022-07-21
卷号13期号:1页码:17
DOI10.1038/s41467-022-31799-y
英文摘要Targeting cancer-associated metabolism is evolving as a promising approach for cancer therapy. Here, the authors generate cancer cell-membrane encapsulated nanoparticles to induce cell cycle arrest and cytotoxicity in lactate-high cancer cells, reducing tumourigensis in glioblastoma cell-line and patient-derived models. Glioblastoma multiforme (GBM) is an aggressive brain cancer with a poor prognosis and few treatment options. Here, building on the observation of elevated lactate (LA) in resected GBM, we develop biomimetic therapeutic nanoparticles (NPs) that deliver agents for LA metabolism-based synergistic therapy. Because our self-assembling NPs are encapsulated in membranes derived from glioma cells, they readily penetrate the blood-brain barrier and target GBM through homotypic recognition. After reaching the tumors, lactate oxidase in the NPs converts LA into pyruvic acid (PA) and hydrogen peroxide (H2O2). The PA inhibits cancer cell growth by blocking histones expression and inducing cell-cycle arrest. In parallel, the H2O2 reacts with the delivered bis[2,4,5-trichloro-6-(pentyloxycarbonyl)phenyl] oxalate to release energy, which is used by the co-delivered photosensitizer chlorin e6 for the generation of cytotoxic singlet oxygen to kill glioma cells. Such a synergism ensures strong therapeutic effects against both glioma cell-line derived and patient-derived xenograft models.
WOS关键词OXIDATIVE STRESS ; DRUG-DELIVERY ; LACTATE ; CELLS
资助项目National Natural Science Foundation of China[32030062] ; National Natural Science Foundation of China[U2001224] ; National Natural Science Foundation of China[32000988] ; Science and Technology Innovation Commission of Shenzhen[ZDSYS20200811142600003] ; Science and Technology Innovation Commission of Shenzhen[ZDSYS20140509173142601] ; China Postdoctoral Science Foundation[2019TQ0212] ; China Postdoctoral Science Foundation[2020M672832] ; Natural Science Foundation of Guangdong Province[2021A1515010720] ; Natural Science Foundation of Guangdong Province[2019A1515011750] ; Basic and Applied Basic Research Foundation Guangdong Province[2019A1515110876]
WOS研究方向Science & Technology - Other Topics
语种英语
出版者NATURE PORTFOLIO
WOS记录号WOS:000828703800003
资助机构National Natural Science Foundation of China ; Science and Technology Innovation Commission of Shenzhen ; China Postdoctoral Science Foundation ; Natural Science Foundation of Guangdong Province ; Basic and Applied Basic Research Foundation Guangdong Province
源URL[http://ir.ipe.ac.cn/handle/122111/54241]  
专题中国科学院过程工程研究所
通讯作者Tan, Hui; Li, Weiping; Ma, Guanghui; Wei, Wei
作者单位1.Shenzhen Univ, Shenzhen Peoples Hosp 2, Hlth Sci Ctr, Dept Neurosurg,Affiliated Hosp 1, Shenzhen 518035, Peoples R China
2.Chinese Acad Sci, Inst Proc Engn, State Key Lab Biochem Engn, Beijing 100190, Peoples R China
3.Univ Chinese Acad Sci, Sch Chem Engn, Beijing 100049, Peoples R China
4.Shenzhen Childrens Hosp, Pneumol Dept, Shenzhen 518026, Peoples R China
推荐引用方式
GB/T 7714
Lu, Guihong,Wang, Xiaojun,Li, Feng,et al. Engineered biomimetic nanoparticles achieve targeted delivery and efficient metabolism-based synergistic therapy against glioblastoma[J]. NATURE COMMUNICATIONS,2022,13(1):17.
APA Lu, Guihong.,Wang, Xiaojun.,Li, Feng.,Wang, Shuang.,Zhao, Jiawei.,...&Wei, Wei.(2022).Engineered biomimetic nanoparticles achieve targeted delivery and efficient metabolism-based synergistic therapy against glioblastoma.NATURE COMMUNICATIONS,13(1),17.
MLA Lu, Guihong,et al."Engineered biomimetic nanoparticles achieve targeted delivery and efficient metabolism-based synergistic therapy against glioblastoma".NATURE COMMUNICATIONS 13.1(2022):17.

入库方式: OAI收割

来源:过程工程研究所

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