
Diabetic macular edema (DME) has shown an increasing prevalence during the past years and is the leading cause of diabetic retinopathy blindness. Traditional treatment modalities include laser and corticosteroid therapy, which, however, either act through unclear mechanisms or cause cataracts and elevated intraocular pressure. In recent years, as the pathogenic role of VEGF in DME has been well-recognized, the intravitreal injection of anti-VEGF drugs has become the first-line treatment of DME due to their great efficacy in improving visual acuity and mitigating macular edema. Advantages have been shown for aflibercept and conbercept, the two recombinant decoy receptors that can bind VEGF with high specificity and affinity, in DME treatment in clinical trials conducted both worldwide and in People's Republic of China. This review introduces the structural characteristics and molecular mechanisms of action of these two anti-VEGF drugs, and summarizes the clinical trials evaluating their efficacy and safety, with the hope to provide clues for designing optimal and personalized therapeutic regimens for DME patients.
therapy, Diabetic Retinopathy, diabetes, Vascular Endothelial Growth Factors, Recombinant Fusion Proteins, aflibercept, clinical trial, Angiogenesis Inhibitors, RM1-950, Macular Edema, diabetic retinopathy, Receptors, Vascular Endothelial Growth Factor, Humans, Therapeutics. Pharmacology, diabetic macular edema, conbercept
therapy, Diabetic Retinopathy, diabetes, Vascular Endothelial Growth Factors, Recombinant Fusion Proteins, aflibercept, clinical trial, Angiogenesis Inhibitors, RM1-950, Macular Edema, diabetic retinopathy, Receptors, Vascular Endothelial Growth Factor, Humans, Therapeutics. Pharmacology, diabetic macular edema, conbercept
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 37 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
