age-related macular degeneration

Introduction

Age-related macular degeneration is a multifactorial, polyetiological condition, affecting individuals over the age of 50, primarily characterized by progressive and irreversible loss of central vision. In the pursuit of a deeper understanding of its etiopathogenesis, risk factors, associated biomarkers, and diagnostic metabolites, the omics approach plays an essential role. The primary objective of this study was to evaluate selected omics biomarkers along with hematological and clinical data and to establish their correlations with macular degeneration,

Material and methods

A pilot retrospective study was conducted, analyzing medical records of 80 patients admitted to the Ophthalmology Department of the Timofei Moșneaga Republican Clinical Hospital. Laboratory parameters were assessed and statistically analyzed using the Statistical Package for the Social Sciences. Statistical methods included binomial tests, Wilcoxon Signed-Rank tests, and One-sample tests. The data obtained were compared with the results of a comprehensive analysis of the latest scientific literature on age-related macular degeneration.

Results

Omics approach analysis, particularly proteomic and metabolomic analyses, has contributed significantly to the identification of metabolic pathways involved in age-related macular degeneration pathogenesis, facilitating the investigation of novel biomarkers for early diagnosis and potential therapeutic targets. In our pilot study, we evaluated clinical and biochemical data, including age, sex, laboratory values, and comorbidities, and compared them with currently published research data. Statistically significant biomarkers identified included glucose, triglycerides, prothrombin, fibrinogen, platelet count, and leukocyte count. Partially significant (dual) biomarkers included total cholesterol, erythrocyte sedimentation rate, and lymphocyte count. No statistical significance was observed for HDL-cholesterol, LDL-cholesterol, and international normalized ratio.

Conclusions

Omics approach represents a promising avenue for monitoring, diagnosing, and potentially treating age-related macular degeneration. By identifying key biomarkers, this approach supports early detection and opens the path for advanced therapeutic strategies such as gene therapy, cell-based treatments, complement pathway inhibitors, and nanotechnology-based interventions.