Digging Deeper for the Eye Proteome in Vitreous Substructures: A High-Resolution Proteome Map of the Normal Human Vitreous Base

Abstract

Mapping the normal eye proteome in healthy persons is essential to unravel the molecular basis of diseases impacting visual health. The vitreous occupies a large portion of the human eye between the lens and the retina and plays a significant role in vitreoretinal diseases as well as maintaining clarity in the visual field, providing nutrition to the lens, and protecting the eye from mechanical shocks. It comprises four distinct anatomical regions, namely the vitreous core, vitreous cortex, vitreous base, and anterior hyaloid. Among these, the vitreous is attached to other substructures in the eye by the vitreous base, which is its strongest point of attachment. Alterations in vitreous substructures have been reported in several vitreoretinal disorders, including vitreomacular traction, vitreoretinopathies, and age-related macular degeneration. There has been limited knowledge on proteomics variations at a resolution of vitreous substructures, including the functionally and pathophysiologically significant vitreous base. We report here new findings on the proteome map of the vitreous base in normal healthy tissue. We employed a global, unbiased proteomic profiling approach resulting in the identification of 6511 proteins. Of these, 302 proteins were involved in metabolic processes essential for energy utilization. Moreover, we identified several structural and nutrient transport proteins. Notably, the identified proteome repertoire indicates that the vitreous base might possess additional physiological functions and may not be a passive structure. This study constitutes the most extensive catalog of vitreous base proteins to our knowledge and offers novel insights as a baseline for future studies on the pathobiology of various eye diseases. These data also invite us to consider a potentially more active functional role for the vitreous base in eye physiology and visual health.

Keywords: LC-MS/MS; eye proteome; omics technology; ophthalmology; protein network; visual health.