کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
10229122 | 505 | 2012 | 10 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Anti-glioblastoma efficacy and safety of paclitaxel-loading Angiopep-conjugated dual targeting PEG-PCL nanoparticles
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موضوعات مرتبط
مهندسی و علوم پایه
مهندسی شیمی
بیو مهندسی (مهندسی زیستی)
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
Therapeutic effect of glioma is often limited due to low permeability of delivery systems across the Blood-Brain Barrier (BBB) and poor penetration into the tumor tissue. In order to overcome the two barriers, we proposed Angiopep-conjugated PEG-PCL nanoparticles (ANG-PEG-NP) as a dual targeting drug delivery system for glioma treatment basing on low density lipoprotein receptor related protein (LRP) receptor not only over-expressed on BBB but also on glioma cells. This system could transport across BBB through LRP-mediated transcytosis and then targeted glioma via LRP-mediated endocytosis. In this study, we evaluated the preliminary availability and safety of ANG-PEG-NP for glioma treatment. The penetration, distribution, and accumulation into 3D glioma spheroid and in vivo glioma region of ANG-PEG-NP were obviously higher than that of plain PEG-PCL nanoparticles (PEG-NP). The anti-glioblastoma efficacy of paclitaxel (PTX) loading ANG-PEG-NP was significantly enhanced as compared to that of Taxol and PEG-NP. Preliminary safety results showed that no acute toxicity to hematological system, liver, kidney and brain tissue was observed after intravenous administration with a dose of 100 mg/kg blank ANG-PEG-NP per day for a week. Results indicate that Angiopep-conjugated dual targeting PEG-PCL nanoparticle is a potential brain targeting drug delivery system for glioma treatment.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Biomaterials - Volume 33, Issue 32, November 2012, Pages 8167-8176
Journal: Biomaterials - Volume 33, Issue 32, November 2012, Pages 8167-8176
نویسندگان
Hongliang Xin, Xianyi Sha, Xinyi Jiang, Wei Zhang, Liangcen Chen, Xiaoling Fang,