Subretinal Pigment Epithelium Illumination Combined With Focal Electroretinogram and Visual Acuity for Early Diagnosis and Prognosis of Non-Exudative Age-Related Macular Degeneration: New Insights for Personalized Medicine

An overview of retinal light damage models for preclinical studies on age-related macular degeneration: identifying molecular hallmarks and therapeutic targets

Age-related macular degeneration (AMD) is a complex, multifactorial disease leading to progressive and irreversible retinal degeneration, whose pathogenesis has not been fully elucidated yet. Due to the complexity and to the multiple features of the disease, many efforts have been made to develop animal models which faithfully reproduce the overall AMD hallmarks or that are able to mimic the different AMD stages. In this context, light damage (LD) rodent models of AMD represent a suitable and reliable approach to mimic the different AMD forms (dry, wet and geographic atrophy) while maintaining the time-dependent progression of the disease. In this review, we comprehensively reported how the LD paradigms reproduce the main features of human AMD. We discuss the capability of these models to broaden the knowledge in AMD research, with a focus on the mechanisms and the molecular hallmarks underlying the pathogenesis of the disease. We also critically revise the remaining challenges and future directions for the use of LD models.

Morphometric Risk Factors for Drusenoid Pigment Epithelium Detachment Collapse and Retinal Pigment Epithelium Atrophy Expansion

Purpose

The purpose of this study was to investigate factors associated with drusenoid pigment epithelium detachment (dPED) growth rate, incidence of dPED collapse, and retinal pigment epithelium (RPE) atrophy enlargement rate following dPED collapse and their impact on visual acuity (VA).

Methods

This was a retrospective longitudinal study on 44 eyes. Serial spectral-domain optical coherence tomography (SD-OCT) and fundus autofluorescence (AF) imaging were performed. Qualitative features and quantitative dPED-related metrics were assessed. The surface-to-volume ratio (S/V) was computed to evaluate dPED shape irregularity. AF imaging was utilized to measure RPE atrophy area in eyes experiencing dPED collapse. Regression models were used to analyze associations among VA, dPED growth rate, and RPE atrophy enlargement rate. Cox regression was used to identify risk factors for dPED collapse.

Results

Significant correlations were observed between dPED area, surface, and volume (P < 0.05 for all pairs). The dPED metrics were inversely correlated with the S/V. Incidence of dPED collapse was 22 per 100 eye-years over a mean follow-up of 59 ± 41 months. Eyes experiencing collapsed dPED had worse baseline VA (P < 0.001). RPE hypertransmission (hazard ratio [HR] = 3.68, P = 0.004) and hyper-reflective foci (HR = 3.45, P = 0.02) were risk factors for dPED collapse; a higher S/V ratio was protective (HR = 0.78, P = 0.03). A faster rate of RPE atrophy enlargement was associated with a faster rate of dPED volume increase (r = 0.47, P = 0.02) and worse VA over time (P = 0.02).

Conclusions

Risk stratification in patients with dPED can be aided by identifying risk factors for dPED collapse. Identifying factors associated with RPE atrophy enlargement may have implications for treatment decision making.

Recent Advances in Proteomics-Based Approaches to Studying Age-Related Macular Degeneration: A Systematic Review

Age-related macular degeneration (AMD) is a common ocular disease characterized by degeneration of the central area of the retina in the elderly population. Progression and response to treatment are influenced by genetic and non-genetic factors. Proteomics is a powerful tool to study, at the molecular level, the mechanisms underlying the progression of the disease, to identify new therapeutic targets and to establish biomarkers to monitor progression and treatment effectiveness. In this work, we systematically review the use of proteomics-based approaches for the study of the molecular mechanisms underlying the development of AMD, as well as the progression of the disease and on-treatment patient monitoring. The Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) reporting guidelines were followed. Proteomic approaches have identified key players in the onset of the disease, such as complement components and proteins involved in lipid metabolism and oxidative stress, but also in the progression to advanced stages, including factors related to extracellular matrix integrity and angiogenesis. Although anti-vascular endothelial growth factor (anti-VEGF)-based therapy has been crucial in the treatment of neovascular AMD, it is necessary to deepen our understanding of the underlying disease mechanisms to move forward to next-generation therapies for later-stage forms of this multifactorial disease.