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Beli, E.

Publications and source records attributed to Beli, E..

2 recordsLinked to original sources

Unveiling the Cellular and Molecular Mechanisms of Diabetic Retinopathy with Human Retinal Organoids

Diabetic retinopathy (DR) is a leading cause of vision impairment worldwide, driven by chronic hyperglycaemia and its complex metabolic consequences. While animal models have been widely used to study DR, they often fail to replicate the physiology of human retina. To address this limitation, we employed human retinal organoids as a model to study the effects of hyperglycaemia across various stages of retinal differentiation. Early-stage organoids demonstrated resilience to high glucose levels, maintaining normal morphology, viability, and gene expression. However, advanced-stage organoids displayed significant disruptions, including the downregulation of outer segment-specific genes, which impaired photoreceptor maturation, and a noticeable shortening of photoreceptor outer segments. Transcriptomic analysis revealed substantial changes in pathways related vision including G protein-coupled receptor signalling pathway, response to light stimulus, and visual perception. While photoreceptors were particularly vulnerable, other retinal cell types, including bipolar cells, ganglion cells, and Muller glia, showed greater resilience. Additionally, glial activation, evidenced by increased expression of astrocyte markers, suggested an adaptive response to hyperglycaemia. To validate our findings, we compared our dataset with publicly available transcriptomic datasets from human retinas with DR, confirming key overlaps in pathways related to photoreceptor dysfunction, gliogenesis, and oxidative stress responses. These results establish human retinal organoids as an effective and relevant model for studying the molecular mechanisms of neurodegeneration associated with DR progression.

cell biology↗

Mapping the daily rhythmic transcriptome in the diabetic retina

Retinal function shows marked changes from day to night. Yet, clinical diagnosis, treatments, and experimental sampling occur during the day, leaving a significant gap in our understanding of the pathobiology occurring at night. While there is evidence that diabetes disrupts the circadian system that optimizes our physiology to the environmental light/dark cycle, the impact of such disruption is not well understood. This study investigates whether diabetes affects the retinas daily rhythm of gene expression to understand the pathobiology of diabetic retinopathy. Ins2Akita/J mice, a model of type 1 diabetes, were kept under a standard 12h:12h light/dark cycle until four months of age. Non-diabetic littermates were used as controls. Bulk mRNA sequencing was conducted in retinas collected every 4 hours throughout the 24 hr light/dark cycle. Computational approaches were used to detect rhythmicity, predict acrophase, identify differential rhythmic patterns, analyze phase set enrichment, and predict upstream regulators. The retinal transcriptome exhibited a tightly regulated rhythmic expression with a clear 12-hr axis of transcriptional rush, peaking at midday and midnight. The functions of day-peaking genes were enriched for DNA repair, RNA splicing, and ribosomal protein synthesis, whereas night-peaking genes were enriched for metabolic processes and growth factor signaling. Although the 12-hr transcriptional axis is retained in the diabetic retina, it was phase advanced by approximately 1-3 hours with a wider distribution. Upstream regulator analysis for the genes that showed phase shifts identified oxygen sensing mechanisms and HIF1alpha as regulators, but not the circadian clock, which remained in phase to the light/dark cycle. We propose a model in which early in diabetes, the retina experiences a jet lag caused by the entrained circadian clock and its output being in one phase and metabolic pathways related to neuronal dysfunction and hypoxia driving advancement of gene expression to a different phase. Further studies are now required to evaluate the chronic implications of such internal jet lag for development of diabetic retinopathy.

bioinformatics↗