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Anti-angiogenic carbon nanovesicles loaded with bevacizumab for the treatment of age-related macular degeneration

  • Anisha Anand
  • , Hong Jyuan Jian
  • , Hao Hsin Huang
  • , Li Er Hean
  • , Yu Jia Li
  • , Jui Yang Lai*
  • , Hung Da Chou
  • , Yu Chuan Kang
  • , Wei Chi Wu
  • , Chi Chun Lai*
  • , Chih Ching Huang
  • , Huan Tsung Chang*
  • *此作品的通信作者
  • Chang Gung University
  • National Taiwan Ocean University
  • National Taiwan University
  • Chang Gung Memorial Hospital

研究成果: 期刊稿件文章同行評審

41 引文 斯高帕斯(Scopus)

摘要

Intraocular angiogenesis mediated by vascular endothelial growth factor (VEGF) and the related ocular disease, age-related macular degeneration (AMD), is the leading cause of loss of vision worldwide. Though anti-VEGF antibodies are used to control AMD, administration of high doses or frequent dosing, and poor ocular retention of the drug adversely affect the patient outcomes. Herein, we report the synthesis of anti-angiogenic carbon nanovesicles (CNVs) through one-step mild carbonization of Brij L76 for loading and sustained release of anti-VEGF antibody [bevacizumab (Avastin)] to treat VEGF-induced angiogenesis. Compared to liposomes and polymersomes, the preparation of CNVs is relatively quick, straightforward, and cost-effective. The bevacizumab loading efficiency of the CNVs is 24.4%, with an encapsulation efficiency of 56.4%. With negligible cytotoxicity toward human umbilical vein endothelial cells and retinal pigment epithelial cells, the bevacizumab-loaded CNVs (BVZ@CNVs) effectively inhibit VEGF-induced cell proliferation and suppress HUVEC migration. In vivo studies show that BVZ@CNVs has superior efficacy to bevacizumab in treating pathological angiogenesis of rabbit eyes as a result of increased bioavailability of the drug through sustained release combined with the anti-angiogenic effect of CNVs. Our findings indicate that BVZ@CNVs hold great potential as a therapeutic anti-angiogenic agent for clinical AMD treatment.

原文英語
頁(從 - 到)362-370
頁數9
期刊Carbon
201
DOIs
出版狀態已出版 - 05 01 2023

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© 2022 Elsevier Ltd

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