血管生成
早产儿视网膜病变
血管内皮生长因子
医学
褪黑素
视网膜
血管内皮生长因子A
癌症研究
糖尿病性视网膜病变
视网膜
纤维连接蛋白
下调和上调
MAPK/ERK通路
信号转导
细胞凋亡
生物信息学
细胞外基质
药理学
内分泌学
病态的
视网膜病变
药品
内科学
生物
细胞生物学
作者
Fang Chen,Xi Yang,Yiwei Yin,Zhishang Meng,Ze Wu,Dan Liu,Chengkun Wu,Jing Luo,Wenyi Wu
标识
DOI:10.1096/fj.202500814rr
摘要
Diabetic retinopathy (DR) and retinopathy of prematurity (ROP) continue to be significant causes of vision impairment despite the well-established role of vascular endothelial growth factor (VEGF) in pathological angiogenesis. We still need to deeply understand retinal angiogenesis's molecular mechanisms and identify potential alternate therapeutic targets. We used RNA sequencing (RNA-seq) and found fibronectin (FN1), an extracellular matrix protein, was significantly upregulated during retinal angiogenesis in the oxygen-induced retinopathy (OIR) model. Employing a deep learning model (BioNet) to identify potential FN1 inhibitors among FDA-approved drugs, we discovered that melatonin effectively reduced FN1 expression and inhibited VEGF-induced angiogenesis by decreasing VEGFR2 phosphorylation. In vivo, melatonin administration significantly reduced preretinal tufts in the OIR model while suppressing FN1 expression and VEGFR2 activation. This study highlights the power of computer-driven drug discovery, with BioNet successfully identifying melatonin as a potential therapeutic agent for retinal angiogenesis. The ability of melatonin to inhibit both FN1 and VEGF signaling highlights the potential of integrating advanced computational methods with rigorous experimental validation to uncover novel therapies for complex diseases.
科研通智能强力驱动
Strongly Powered by AbleSci AI