Zhang Ye, Wendy C. Sheu, Huan Qu, Bin Peng, Jia Liu, Li Zhang, Fanen Yuan, Yuxin Wei, Jiangbing Zhou, Qianxue Chen, Xuan Xiao, Shenqi Zhang
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引用次数: 0
Abstract
Glioblastoma multiforme (GBM) is a formidable cancer to treat due to the lack of effective drugs that can also efficiently cross the blood–brain barrier (BBB). Herein, a novel strategy involving the synthesis of p28 peptide‐conjugated, lexiscan (LEX)‐loaded, bardoxolone methyl (BM) self‐assembled nanoparticles, designated as p28‐LBM NPs, is introduced. These NPs are designed to overcome the dual challenges of effectively killing GBM cells and efficiently penetrating the brain. The p28 peptide is chosen for targeted delivery to brain tumors, and LEX is employed to enhance drug penetration across the BBB. The successful penetration of brain tumors by the p28‐LBM NPs after intravenous administration is demonstrated, with BM delivered as part of the NPs significantly inhibiting GBM tumor growth and extending the survival of mice with tumors. In conclusion, the p28‐LBM NPs present a promising approach for GBM treatment, with potential for effective and safe clinical applications in the future.
期刊介绍:
Small Science is a premium multidisciplinary open access journal dedicated to publishing impactful research from all areas of nanoscience and nanotechnology. It features interdisciplinary original research and focused review articles on relevant topics. The journal covers design, characterization, mechanism, technology, and application of micro-/nanoscale structures and systems in various fields including physics, chemistry, materials science, engineering, environmental science, life science, biology, and medicine. It welcomes innovative interdisciplinary research and its readership includes professionals from academia and industry in fields such as chemistry, physics, materials science, biology, engineering, and environmental and analytical science. Small Science is indexed and abstracted in CAS, DOAJ, Clarivate Analytics, ProQuest Central, Publicly Available Content Database, Science Database, SCOPUS, and Web of Science.