Min Soo Kang , Ren Yamamoto , Jung Hoon Choi , Hyun Seung Cho , Yong Il Park , Ruda Lee
{"title":"Lipopolymersome-mediated temozolomide delivery for IL13RA2 receptor-positive glioblastoma","authors":"Min Soo Kang , Ren Yamamoto , Jung Hoon Choi , Hyun Seung Cho , Yong Il Park , Ruda Lee","doi":"10.1016/j.apsusc.2025.162843","DOIUrl":null,"url":null,"abstract":"<div><div>Glioblastoma is the most aggressive form of primary malignant brain cancer. The blood–brain barrier limits the penetration of therapeutic agents and often contributes to a poor prognosis. Targeted therapy, an emerging strategy, shows promise for improving glioblastoma treatment outcomes by reducing drug dosages and mitigating drug resistance. Interleukin-13 receptor α2, which is overexpressed in glioblastoma, serves as a potential target for such therapy.</div><div>In this study, we investigated Pep-1L-modified, temozolomide-loaded lipopolymersomes for targeted delivery to interleukin-13 receptor α2-positive glioblastoma. These nanoparticles exhibited a uniform size of approximately 100 nm and remained stable for up to 96 h under physiological conditions (pH 7.4). Temozolomide was released in a controlled manner, reaching nearly 100 % release over 96 h. The Pep-1L peptide demonstrated specificity for interleukin-13 receptor α2-positive glioblastoma and enhanced cellular internalization via receptor-mediated endocytosis. Additionally, the IC<sub>50</sub> was reduced by approximately 9.5-fold in interleukin-13 receptor α2-positive U-251 MG cells, highlighting the potential of Pep-1L-modified, temozolomide-loaded lipopolymersomes as an effective targeted therapy for glioblastoma. This approach suggests a pathway toward more personalized and effective treatments for glioblastoma patients.</div></div>","PeriodicalId":247,"journal":{"name":"Applied Surface Science","volume":"695 ","pages":"Article 162843"},"PeriodicalIF":6.9000,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Surface Science","FirstCategoryId":"88","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0169433225005574","RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CHEMISTRY, PHYSICAL","Score":null,"Total":0}
引用次数: 0
Abstract
Glioblastoma is the most aggressive form of primary malignant brain cancer. The blood–brain barrier limits the penetration of therapeutic agents and often contributes to a poor prognosis. Targeted therapy, an emerging strategy, shows promise for improving glioblastoma treatment outcomes by reducing drug dosages and mitigating drug resistance. Interleukin-13 receptor α2, which is overexpressed in glioblastoma, serves as a potential target for such therapy.
In this study, we investigated Pep-1L-modified, temozolomide-loaded lipopolymersomes for targeted delivery to interleukin-13 receptor α2-positive glioblastoma. These nanoparticles exhibited a uniform size of approximately 100 nm and remained stable for up to 96 h under physiological conditions (pH 7.4). Temozolomide was released in a controlled manner, reaching nearly 100 % release over 96 h. The Pep-1L peptide demonstrated specificity for interleukin-13 receptor α2-positive glioblastoma and enhanced cellular internalization via receptor-mediated endocytosis. Additionally, the IC50 was reduced by approximately 9.5-fold in interleukin-13 receptor α2-positive U-251 MG cells, highlighting the potential of Pep-1L-modified, temozolomide-loaded lipopolymersomes as an effective targeted therapy for glioblastoma. This approach suggests a pathway toward more personalized and effective treatments for glioblastoma patients.
期刊介绍:
Applied Surface Science covers topics contributing to a better understanding of surfaces, interfaces, nanostructures and their applications. The journal is concerned with scientific research on the atomic and molecular level of material properties determined with specific surface analytical techniques and/or computational methods, as well as the processing of such structures.