Microvascular insufficiency represents a major cause of end-organ failure among diabetics. Prevention at early stage of disease is therefore necessary and is a focus of current investigations. Progression of diabetes is complicated by endothelial cell apoptosis as well as occlusion of arteriole and capillary leading to microvascular rarefaction. This favors the formation of non-healing limb ulcers and limits the benefit of revascularization. Recent study indicated that reduction of platelet derived growth factor (PDGF) expression was indeed critical, in causing functional and morphological vascular changes, namely the dissociation of pericytes from the capillaries in muscles. Diabetic microangiopathy is a result of pericytes dissociation from reduced PDGF as well as vessel rarefaction from reduced number of endothelial progenitor cells (EPCs) and EPC dysfunction. Since blood vessels develop through the assembly of these two principal cell types--endothelial cells and pericytes/smooth muscle cells, prevention of diabetic microangiopathy requires interventions targeting at both cell types in a complementary and synergistic manner. An improved recruitment of EPCs will help repair of injured endothelium while molecular targeting with PDGF will enhance pericytes recruitment. EPCs modified with PDGF therefore hold promise as the next generation of agents for prevention of microangiopathy.
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http://dx.doi.org/10.1016/j.mehy.2006.05.033 | DOI Listing |
BMC Ophthalmol
January 2025
College of Optometry, University of Houston College of Optometry, 4401 Martin Luther King Blvd, 77204-2020, Houston, TX, USA.
Background: This study evaluates retinal oxygen saturation and vessel density within the macula and correlates these measures in controls and subjects with type 2 diabetes (DM) with (DMR) and without (DMnR) retinopathy. Changes in retinal oxygen saturation have not been evaluated regionally in diabetic patients.
Methods: Data from seventy subjects (28 controls, 26 DMnR, and 16 DMR were analyzed.
BMJ Open Ophthalmol
January 2025
Ophthalmology & Vision Sciences, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.
Dual inhibition of the angiopoietin (Ang)/Tie and vascular endothelial growth factor (VEGF) signalling pathways in patients with retinal diseases, such as neovascular age-related macular degeneration (nAMD) and diabetic macular oedema (DME), may induce greater vascular stability and contribute to increased treatment efficacy and durability compared with treatments that only target the VEGF pathway. Faricimab, a bispecific intravitreal agent that inhibits both VEGF and Ang-2, is the first injectable ophthalmic drug to achieve treatment intervals of up to 16 weeks in Phase 3 studies for nAMD and DME while exhibiting improvements in visual acuity and retinal thickness. Data from real-world studies have supported the safety, visual and anatomic benefits and durability of faricimab, even in patients who were previously treated with other intravitreal agents.
View Article and Find Full Text PDFPLoS One
January 2025
Institute of Medicine, Chung Shan Medical University, Taichung, Taiwan.
Objectives: The coronary heart disease (CHD) can influence the development of several diseases. The presence of CHD is correlated to a higher incidence of concurrent diabetic retinopathy (DR) in previous study. Herein, we aim to analyze the relationship between the CHD severity and following DR with different severity.
View Article and Find Full Text PDFUndersea Hyperb Med
January 2025
Hansjorg Wyss Department of Plastic Surgery, NYU Grossman School of Medicine, New York, NY.
Introduction: When administering HBO , pressures can range from 1.4 atmospheres absolute (ATA) to 3 ATA. While different treatment profiles have been proposed, there is a paucity of literature comparing the effectiveness and risk profile associated with different pressures treating the same condition.
View Article and Find Full Text PDFSci Rep
January 2025
Faculty of Applied Sciences, Macao Polytechnic University, Macao, 999078, China.
Data scarcity in medical images makes transfer learning a common approach in computer-aided diagnosis. Some disease classification tasks can rely on large homogeneous public datasets to train the transferred model, while others cannot, i.e.
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