Diabetes is known to cause significant alterations in the retinal vasculature. Indeed, diabetic retinopathy is the leading cause of blindness in those of working age. Considerable evidence is emerging that indicates that retinal neurons are also altered during diabetes. Moreover, many types of neuronal deficits have been observed in animal models and patients prior to the onset of vascular compromise. Such clinical tools as the flash ERG, multifocal ERG, colour vision, contrast sensitivity and short-wavelength automated perimetry, all provide novel means whereby neuronal dysfunction can be detected at early stages of diabetes. The underlying mechanisms that lead to neuronal deficits are likely to be broad. Retinal glial cells play an essential role in maintaining the normal function of the retina. There is accumulating evidence that Müller cells are abnormal during diabetes. They are known to become gliotic, display altered potassium siphoning, glutamate and GABA uptake and are also known to express several modulators of angiogenesis. This review will examine the evidence that neurons and glia are altered during diabetes and the relationship these changes have with vascular compromise.
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http://dx.doi.org/10.2174/138161207781662920 | DOI Listing |
Diabetes
January 2025
Department of Big Data in Health Science, Zhejiang University School of Public Health and Department of Psychiatry, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Clonal haematopoiesis of indeterminate potential (CHIP) is associated with macrovascular diseases, including coronary artery disease and stroke. However, the effects of CHIP on microvascular complication have not been evaluated in individuals with type 2 diabetes (T2D). This study included 20,712 T2D participants without prevalent diabetic microvascular complication (DMCs) and hematologic malignancy at baseline.
View Article and Find Full Text PDFTransl Vis Sci Technol
January 2025
Department of Ophthalmology, University Hospital Bonn, Bonn, Germany.
Purpose: To compare a novel high-resolution optical coherence tomography (OCT) with improved axial resolution (High-Res OCT) with conventional spectral-domain OCT (SD-OCT) with regard to their capacity to characterize the disorganization of the retinal inner layers (DRIL) in diabetic maculopathy.
Methods: Diabetic patients underwent multimodal retinal imaging (SD-OCT, High-Res OCT, and color fundus photography). Best-corrected visual acuity and diabetes characteristics were recorded.
Taiwan J Ophthalmol
November 2024
Sirindhorn International Institute of Technology, Thammasat University, Bangkok, Thailand.
Recent advances of artificial intelligence (AI) in retinal imaging found its application in two major categories: discriminative and generative AI. For discriminative tasks, conventional convolutional neural networks (CNNs) are still major AI techniques. Vision transformers (ViT), inspired by the transformer architecture in natural language processing, has emerged as useful techniques for discriminating retinal images.
View Article and Find Full Text PDFTaiwan J Ophthalmol
December 2024
Department of Ophthalmology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.
Wide field retinal imaging has emerged as a transformative technology over the last few decades, revolutionizing our ability to visualize the intricate landscape of the retina. By capturing expansive retinal areas, these techniques offer a panoramic view going beyond traditional imaging methods. In this review, we explore the significance of retinal imaging-based biomarkers to help diagnose ocular and systemic conditions.
View Article and Find Full Text PDFTaiwan J Ophthalmol
November 2024
Shri Bhagwan Mahavir Vitreoretinal Services, Sankara Nethralaya, Tamil Nadu, India.
Purpose: This study aimed to evaluate serum cystatin C as a potential biomarker for diabetic retinopathy (DR) in a rural Indian population, addressing the urgent need for effective screening tools amidst rising diabetes prevalence.
Materials And Methods: A cross-sectional study recruited 112 patients with diabetes mellitus from Sambalpur, Odisha, India, categorized into groups with and without DR. Serum cystatin C levels were measured alongside clinical and demographic parameters, using established diagnostic methods.
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