Glial Cells and Retinal Nerve Fibers Morphology in the Optic Nerves of Streptozotocin-induced Hyperglycemic Rats

The Correlation of Inflammation and Microvascular Changes with Diabetic Retinal Neurodegeneration

Purpose: To evaluate the effect of aqueous flare intensity as a measurement of inflammation and microvascular changes on retinal neurodegeneration in diabetic eyes.Materials and Methods: In cross-sectional study diabetic patients were assigned into 2 groups according to the presence of retinopathy: patients with nonproliferative diabetic retinopathy (group 1) and diabetic patients without clinically overt retinopathy (group 2). As a control group (group 3), age-matched healthy controls were included in the study. All subjects underwent visual acuity measurement, slit-lamp examination, ophthalmoscopy, spectral-domain optic coherence tomography (SD-OCT), optic coherence tomography angiography (OCTA), and laser flare-cell meter (LFCM).Results: The study enrolled 99 eyes of 99 patients in group 1; 99 eyes of 99 patients in group 2, and 50 eyes of 50 age-matched healthy controls in group 3. The eyes in group 1 had higher flare intensity, decreased ganglion cell layer (GCL) thickness, enlarged foveal avascular zone (FAZ) area, and enlarged capillary non-flow area compared to those in group 2 (p < .005). In group 1, decreased GCL thickness was statistically significantly correlated with increased aqueous flare intensity, enlarged FAZ area, and enlarged capillary non-flow area (p < .005).Conclusion: The results demonstrated a correlation of the retinal neurodegeneration with the aqueous flare levels and macular ischemia indices in the early stages of diabetic retinopathy. This finding supports the role of inflammation in the pathogenesis of diabetic retinal neuropathy.

Neuroinflammation and oxidative stress act in concert to promote neurodegeneration in the diabetic retina and optic nerve: galectin-3 participation

Diabetes is a lifelong disease characterized by glucose metabolic imbalance, in which low insulin levels or impaired insulin signaling lead to hyperglycemic state. Within 20 years of diabetes progression, 95% of patients will have diabetic retinopathy, the leading cause of visual defects in working-age people worldwide. Although diabetes is considered a microvascular disease, recent studies have shown that neurodegeneration precedes vascular changes within the diabetic visual system, albeit its mechanisms are still under investigation. Neuroinflammation and oxidative stress are intrinsically related phenomena, since macrophage/microglia and astrocytes are the main sources of reactive oxygen species during central nervous system chronic degenerative diseases, and both pathological processes are increased in the visual system during diabetes. The present review will focus on recent findings of the contribution of oxidative stress derived from neuroinflammation in the early neurodegenerative aspects of the diabetic visual system and their relationship with galectin-3.

Genetic Correlations Between Diabetes and Glaucoma: An Analysis of Continuous and Dichotomous Phenotypes

PURPOSE

A genetic correlation is the proportion of phenotypic variance between traits that is shared on a genetic basis. Here we explore genetic correlations between diabetes- and glaucoma-related traits.

DESIGN

Cross-sectional study.

METHODS

We assembled genome-wide association study summary statistics from European-derived participants regarding diabetes-related traits like fasting blood sugar (FBS) and type 2 diabetes (T2D) and glaucoma-related traits (intraocular pressure [IOP], central corneal thickness [CCT], corneal hysteresis [CH], corneal resistance factor [CRF], cup-to-disc ratio [CDR], and primary open-angle glaucoma [POAG]). We included data from the National Eye Institute Glaucoma Human Genetics Collaboration Heritable Overall Operational Database, the UK Biobank, and the International Glaucoma Genetics Consortium. We calculated genetic correlation (rg) between traits using linkage disequilibrium score regression. We also calculated genetic correlations between IOP, CCT, and select diabetes-related traits based on individual level phenotype data in 2 Northern European population-based samples using pedigree information and Sequential Oligogenic Linkage Analysis Routines.

RESULTS

Overall, there was little rg between diabetes- and glaucoma-related traits. Specifically, we found a nonsignificant negative correlation between T2D and POAG (rg = -0.14; P = .16). Using Sequential Oligogenic Linkage Analysis Routines, the genetic correlations between measured IOP, CCT, FBS, fasting insulin, and hemoglobin A1c were null. In contrast, genetic correlations between IOP and POAG (rg ≥ 0.45; P ≤ 3.0 × 10-4) and between CDR and POAG were high (rg = 0.57; P = 2.8 × 10-10). However, genetic correlations between corneal properties (CCT, CRF, and CH) and POAG were low (rg range -0.18 to 0.11) and nonsignificant (P ≥ .07).

CONCLUSION

These analyses suggest that there is limited genetic correlation between diabetes- and glaucoma-related traits.