Biomimetic, Injectable, and Self-Healing Hydrogels with Sustained Release of Ranibizumab to Treat Retinal Neovascularization.
Ning DuanLi MeiLiting HuXiaoni YinXiangyang WeiYing LiQinghua LiGuiqiu ZhaoQihui ZhouZhaodong DuPublished in: ACS applied materials & interfaces (2023)
Retinal neovascularization (RNV) is a typical feature of ischemic retinal diseases that can lead to traction retinal detachment and even blindness in patients, in which the vascular endothelial cell growth factor (VEGF) plays a pivotal role. However, most anti-VEGF drugs currently used for treating RNV, such as ranibizumab, need frequent and repeated intravitreal injections due to their short intravitreal half-life, which increases the incidence of complications. Herein, a hydrogel intravitreal drug delivery system (DDS) is prepared by a dynamic Schiff base reaction between aminated hyaluronic acid and aldehyde-functionalized Pluronic 127 for sustained release of ranibizumab. The prepared hydrogel system named HP@Ran exhibits excellent injectability, self-healing ability, structural stability, cytocompatibility, and blood compatibility. According to an in vitro drug release study, the hydrogel system continuously releases the model drug bovine serum albumin for more than 56 days. Importantly, in an in vivo rabbit persistent RNV model, the HP@Ran hydrogel system continuously releases pharmacologically active ranibizumab for more than 7 weeks and also exhibits superior anti-angiogenic efficacy over ranibizumab treatment by decreasing vascular leakage and neovascularization at 12 weeks. Thus, the developed HP@Ran hydrogel system possesses great potential for intravitreal DDS for the treatment of RNV.
Keyphrases
- diabetic retinopathy
- hyaluronic acid
- optical coherence tomography
- drug delivery
- vascular endothelial growth factor
- growth factor
- drug release
- tissue engineering
- endothelial cells
- age related macular degeneration
- end stage renal disease
- wound healing
- risk factors
- prognostic factors
- machine learning
- oxidative stress
- deep learning
- emergency department
- peritoneal dialysis
- gestational age
- ischemia reperfusion injury
- high resolution
- climate change
- chronic kidney disease
- patient reported outcomes
- platelet rich plasma
- blood brain barrier
- risk assessment
- patient reported
- preterm birth
- neural network