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This study aimed to investigate the characteristic choroidal changes in patients with diabetic retinopathy and identify factors affecting choroidal thickness (CTh), choroidal vascular index (CVI), and choriocapillaris flow. We retrospectively analyzed 79 eyes of 48 patients with diabetes between August 2021 and February 2022. We collected laboratory data, including HbA1c, serum creatinine, blood urea nitrogen, triglyceride, total cholesterol, high-density lipoprotein, and low-density lipoprotein (LDL) levels. Optical coherence tomography images of the foveal avascular zone, retinal vascular density, choroidal flow, retinal thickness, CTh, and CVI were analyzed. Possible determining factors affecting CTh, CVI, and choriocapillaris flow were analyzed using nonparametric multivariate analysis. LDL ( < 0.001) positively correlated with CTh, whereas CVI ( = 0.007) was negatively correlated with CTh in diabetic patients with diabetes. We also identified a negative correlation between choriocapillaris flow and deep parafoveal retinal vessel density in patients with low-grade diabetic retinopathy (DR), which diminished in those with more advanced DR. Our study provides further information on the changes in choroidal structure and blood flow in patients with diabetes.
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http://dx.doi.org/10.3390/diagnostics14050537 | DOI Listing |
Clin Ophthalmol
September 2025
Internal Medicine Department, Medical Faculty, Universitas Brawijaya, Malang, Indonesia.
Purpose: To evaluate macular vessel density using clinical parameters in patients with type 2 diabetes mellitus (DM) without retinopathy.
Patients And Methods: This cross-sectional study enrolled 32 participants (63 eyes) aged 40-60 years who met the inclusion criteria. Group 1 included 32 eyes of type 2 DM, whereas the rest had no DM.
Front Pharmacol
August 2025
State Key Laboratory for Quality Ensurance and Sustainable Use of Dao-di Herbs, Beijing, China.
Diabetes mellitus is a metabolic disease with a high global prevalence, which affects blood vessels throughout the entire body. As the disease progresses, it often leads to complications, including diabetic retinopathy and nephropathy. Currently, in addition to traditional cellular and animal models, more and more organoid models have been used in the study of diabetes and have broad application prospects in the field of pharmacological research.
View Article and Find Full Text PDFJMIR Med Inform
September 2025
Global Health Economics Centre, Public Health and Policy, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Background: Artificial intelligence (AI) algorithms offer an effective solution to alleviate the burden of diabetic retinopathy (DR) screening in public health settings. However, there are challenges in translating diagnostic performance and its application when deployed in real-world conditions.
Objective: This study aimed to assess the technical feasibility of integration and diagnostic performance of validated DR screening (DRS) AI algorithms in real-world outpatient public health settings.
Biochem Biophys Res Commun
September 2025
Department of Ophthalmology, Hebei Medical University, NO. 361 Zhongshan East Road, Changan District, Shijiazhuang City, Hebei Province, China; Department of Ophthalmology, Hebei General Hospital, NO. 348 Heping West Road, Xinhua District, Shijiazhuang City, Hebei Province, China. Electronic address
Diabetic retinopathy (DR) is among the most prevalent complications linked to advanced diabetes. Capillary Basement membrane (CBM) thickening is an early clinical manifestation in DR, and Laminin α 1 (LAMA1) is one of the main extracellular matrix components involved in CBM formation. Dapagliflozin (DAPA) has demonstrated efficacy in ameliorating DR.
View Article and Find Full Text PDFRetina
September 2025
Harvard Retinal Imaging Lab, Massachusetts Eye and Ear, Boston, MA, USA.
Purpose: To investigate associations among expanded field swept-source optical coherence tomography angiography (SS-OCTA) biomarkers and the development of tractional retinal detachment (TRD) in patients with proliferative diabetic retinopathy (PDR).
Methods: Patients with PDR without TRD at baseline were imaged with SS-OCTA. Quantitative and qualitative OCTA metrics were independently evaluated by two trained graders.