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Updated: Aug 6, 2026

Slow-release Drug Delivery through Elvax 40W to the Rat Retina: Implications for the Treatment of Chronic Conditions
Published on: September 17, 2014
Sustained Retinal Delivery of Baicalin and Ranibizumab Overcomes the Anti-VEGF Monotherapy Dilemma in wAMD
Xi Jiang1,2, Fengqi Yang1,2, Huiling Gong1
1Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, China.
Abstract:
Wet age-related macular degeneration (wAMD), characterized by choroidal neovascularization (CNV), faces a clinical challenge of diminishing efficacy during long-term anti-VEGF monotherapy. An AI-assisted analytical framework pinpointed impaired retinal pigment epithelium (RPE) autophagy and a pro-inflammatory microenvironment driven by retinal microglia-recruited monocytes as co-conspirators in CNV progression. To tackle these dual culprits, we developed an intravitreal injectable hydrogel (Rab&BCL-M@G) that co-encapsulates ranibizumab (Rab) and a small-sized baicalin-loaded microemulsion (BCL-M), enabling controlled and sustained co-delivery of both agents to the retina for over 14 days. Guided by the AI-identified targets, we demonstrated that baicalin promoted dysfunctional mitochondria clearance via the AKT2-PGC-1α-mediated autophagic flux and suppressed monocyte recruitment by disrupting microglial CCL4 signaling. This two-pronged action ameliorated inflammation and angiogenesis, synergizing with Rab. In a laser-induced wAMD mouse model, a single intravitreal injection of Rab&BCL-M@G sustainably reduced CNV area, promoted repair, restored autophagy, and diminished microglial infiltration. Crucially, subsequent wet-lab validation confirmed a positive pathological correlation among defective autophagy, inflammation, and angiogenesis, thereby closing the loop from computational prediction to experimental verification and explaining suboptimal long-term performance after Rab monotherapy. This study proposes a promising synergistic strategy, advancing wAMD therapy through precision delivery and AI-informed mechanism discovery.

