Diabetic retinopathy (DR) and diabetic macular edema (DME) are retinal complications of diabetes that can lead to loss of vision and impaired quality of life. The current gold standard therapies for treatment of DR and DME focus on advanced disease, are invasive, expensive, and can trigger adverse side-effects, necessitating the development of more effective, affordable, and accessible therapies that can target early stage disease. The pathogenesis and pathophysiology of DR is complex and multifactorial, involving the interplay between the effects of hyperglycemia, hyperlipidemia, hypoxia, and production of reactive oxygen species (ROS) in the promotion of neurovascular dysfunction and immune cell polarization to a proinflammatory state. The pathophysiology of DR provides several therapeutic targets that have the potential to attenuate disease progression. Current novel DR and DME therapies under investigation include erythropoietin-derived peptides, inducers of antioxidant gene expression, activators of nitric oxide/cyclic GMP signaling pathways, and manipulation of arginase activity. This review aims to aid understanding of DR and DME pathophysiology and explore novel therapies that capitalize on our knowledge of these diabetic retinal complications.
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http://dx.doi.org/10.3389/fphys.2022.831616 | DOI Listing |
J Transl Med
December 2024
Department of Ophthalmology, Chongqing Emergency Medical Center, Chongqing, 400000, China.
Background: The relationship between cigarette smoking and diabetic retinopathy (DR) remains controversial, as existing studies have yielded inconsistent results. This study aimed to investigate the association between smoking and both the development and progression of DR.
Methods: This study encompassed two complementary approaches.
In Vivo
December 2024
Laboratory of Veterinary Ophthalmology, College of Veterinary Medicine, Chungbuk National University, Cheongju, Republic for Korea
Background/aim: Diabetic retinopathy (DR), a complication of diabetes, causes damage to retinal blood vessels and can lead to vision impairment. Persistent high blood glucose levels contribute to this damage, and despite ongoing research, effective treatment options for DR remain limited. Dimethyl sulfoxide (DMSO) has shown anti-inflammatory and antioxidant properties in both in vivo and in vitro studies; however, its potential as an anti-inflammatory agent in the context of DR has not yet been explored.
View Article and Find Full Text PDFPLoS One
December 2024
Department of Pathology and Laboratory Medicine, Western University, London, Ontario, Canada.
Endothelial cells and high glucose-induced endothelial dysfunction are the common origin of chronic diabetic complications such as retinopathy, nephropathy, and cardiomyopathy. Yet their common origins, the vascular manifestations of such complications are different. We examined the basal heterogeneity between microvascular endothelial cells(MECs) from the retina, kidneys, and heart, as well as their differential responses to hyperglycemia in diabetes.
View Article and Find Full Text PDFInvest Ophthalmol Vis Sci
December 2024
Medical University of Vienna, Department of Ophthalmology, Vienna, Austria.
Purpose: To assess the anatomic and functional outcomes in eyes with diabetic macular edema (DME) switched from intravitreal aflibercept to faricimab in a real-world setting.
Methods: Retrospective, interventional consecutive case series. Patients with DME were switched from aflibercept to faricimab and categorized based on central subfield thickness (CST) 4 weeks after last aflibercept injection into responding DME (rDME, CST reduction >20% or CST ≤ 250 µm) and nonresponding DME (nrDME, CST unchanged or increased).
Sci Rep
December 2024
Department of Medical Research, Cathay General Hospital, 280 Jen-Ai Rd. Sec.4 106, Taipei, Taiwan.
As an alternative to assessments performed by human experts, artificial intelligence (AI) is currently being used for screening fundus images and monitoring diabetic retinopathy (DR). Although AI models can provide quasi-clinician diagnoses, they rarely offer new insights to assist clinicians in predicting disease prognosis and treatment response. Using longitudinal retinal imaging data, we developed and validated a predictive model for DR progression: AI-driven Diabetic Retinopathy Progression Prediction Algorithm (ADRPPA).
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