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1.
Mol Aspects Med ; 94: 101226, 2023 12.
Article in English | MEDLINE | ID: mdl-37950974

ABSTRACT

Glaucoma represents a group of progressive neurodegenerative diseases characterized by the loss of retinal ganglion cells (RGCs) and their axons with subsequent visual field impairment. The disease develops through largely uncharacterized molecular mechanisms, that are likely to occur in different localized cell types, either in the anterior (e.g., trabecular meshwork cells) or posterior (e.g., Muller glia, retinal ganglion cells) segments of the eye. Genomic and preclinical studies suggest that glaucoma pathogenesis may develop through altered ubiquitin (Ub) signaling. Ubiquitin conjugation, referred to as ubiquitylation, is a major post-synthetic modification catalyzed by E1-E2-E3 enzymes, that profoundly regulates the turnover, trafficking and biological activity of the targeted protein. The development of new technologies, including proteomics workflows, allows the biology of ubiquitin signaling to be described in health and disease. This post-translational modification is emerging as a key role player in neurodegeneration, gaining relevance for novel therapeutic options, such as in the case of Proteolysis Targeting Chimeras technology. Although scientific evidence supports a link between Ub and glaucoma, their relationship is still not well-understood. Therefore, this review provides a detailed research-oriented discussion on current evidence of Ub signaling in glaucoma. A review of genomic and genetic data is provided followed by an in-depth discussion of experimental data on ASB10, parkin and optineurin, which are proteins that play a key role in Ub signaling and have been associated with glaucoma.


Subject(s)
Glaucoma , Ubiquitin , Humans , Ubiquitin/genetics , Ubiquitin/metabolism , Proteasome Endopeptidase Complex/genetics , Proteasome Endopeptidase Complex/metabolism , Ubiquitin-Protein Ligases/metabolism , Ubiquitination , Glaucoma/genetics , Glaucoma/therapy , Molecular Biology
2.
Photonics ; 9(3)2022 Mar.
Article in English | MEDLINE | ID: mdl-36777090

ABSTRACT

Altitude affects intraocular pressure (IOP); however, the underlying mechanisms involved and its relationship with ocular hemodynamics remain unknown. Herein, a validated mathematical modeling approach was used for a physiology-enhanced (pe-) analysis of the Mont Blanc study (MBS), estimating the effects of altitude on IOP, blood pressure (BP), and retinal hemodynamics. In the MBS, IOP and BP were measured in 33 healthy volunteers at 77 and 3466 m above sea level. Pe-retinal hemodynamics analysis predicted a statistically significant increase (p < 0.001) in the model predicted blood flow and pressure within the retinal vasculature following increases in systemic BP with altitude measured in the MBS. Decreased IOP with altitude led to a non-monotonic behavior of the model predicted retinal vascular resistances, with significant decreases in the resistance of the central retinal artery (p < 0.001) and retinal venules (p = 0.003) and a non-significant increase in the resistance in the central retinal vein (p = 0.253). Pe-aqueous humor analysis showed that a decrease in osmotic pressure difference (OPD) may underlie the difference in IOP measured at different altitudes in the MBS. Our analysis suggests that venules bear the significant portion of the IOP pressure load within the ocular vasculature, and that OPD plays an important role in regulating IOP with changes in altitude.

3.
PLoS One ; 16(10): e0259143, 2021.
Article in English | MEDLINE | ID: mdl-34710167

ABSTRACT

This study investigated the agreement of intraocular pressure measurements using rebound tonometry and applanation tonometry in response to atmospheric changes in a hyperbaric chamber. Twelve eyes of 12 healthy subjects were included in this prospective, comparative, single-masked study. Intraocular pressure measurements were performed by rebound tonometry followed by applanation tonometry in a multiplace hyperbaric chamber at 1 Bar, followed by 2, 3 and 4 Bar during compression and again at 3 and 2 Bar during decompression. Mean differences between rebound and applanation intraocular pressure measurements were 1.6, 1.7, and 2.1 mmHg at 2, 3, and 4 Bar respectively during compression and 2.6 and 2.2 mmHg at 3 and 2 Bar during decompression. Lower limits of agreement ranged from -3.7 to -5.9 mmHg and upper limits ranged from -0.3 to 1.9 mmHg. Multivariate analysis showed that the differences between rebound and applanation intraocular pressure measurements were independent of atmospheric pressure changes (p = 0.79). Intraocular pressure measured by rebound tonometry shows a systematic difference compared to intraocular measured by applanation tonometry, but this difference is not influenced by changes of atmospheric pressure up to 4 Bar in a hyperbaric chamber. Agreement in magnitude of change between devices suggests rebound tonometry is viable for assessing intraocular pressure during atmospheric changes. Future studies should be designed in consideration of expected differences in IOP values provided by the two devices.


Subject(s)
Atmospheric Pressure , Intraocular Pressure/physiology , Ocular Physiological Phenomena , Adult , Female , Healthy Volunteers , Humans , Male , Middle Aged , Prospective Studies , Reproducibility of Results , Single-Blind Method , Tonometry, Ocular
4.
Photonics ; 8(10)2021 Oct.
Article in English | MEDLINE | ID: mdl-36052288

ABSTRACT

Impaired blood flow and oxygenation contribute to many ocular pathologies, including glaucoma. Here, a mathematical model is presented that combines an image-based heterogeneous representation of retinal arterioles with a compartmental description of capillaries and venules. The arteriolar model of the human retina is extrapolated from a previous mouse model based on confocal microscopy images. Every terminal arteriole is connected in series to compartments for capillaries and venules, yielding a hybrid model for predicting blood flow and oxygenation throughout the retinal microcirculation. A metabolic wall signal is calculated in each vessel according to blood and tissue oxygen levels. As expected, a higher average metabolic signal is generated in pathways with a lower average oxygen level. The model also predicts a wide range of metabolic signals dependent on oxygen levels and specific network location. For example, for high oxygen demand, a threefold range in metabolic signal is predicted despite nearly identical PO2 levels. This whole-network approach, including a spatially nonuniform structure, is needed to describe the metabolic status of the retina. This model provides the geometric and hemodynamic framework necessary to predict ocular blood flow regulation and will ultimately facilitate early detection and treatment of ischemic and metabolic disorders of the eye.

5.
Genes (Basel) ; 12(1)2020 12 31.
Article in English | MEDLINE | ID: mdl-33396423

ABSTRACT

Glaucoma, the world's leading cause of irreversible blindness, is a complex disease, with differential presentation as well as ethnic and geographic disparities. The multifactorial nature of glaucoma complicates the study of genetics and genetic involvement in the disease process. This review synthesizes the current literature on glaucoma and genetics, as stratified by glaucoma subtype and ethnicity. Primary open-angle glaucoma (POAG) is the most common cause of glaucoma worldwide, with the only treatable risk factor (RF) being the reduction of intraocular pressure (IOP). Genes associated with elevated IOP or POAG risk include: ABCA1, AFAP1, ARHGEF12, ATXN2, CAV1, CDKN2B-AS1, FOXC1, GAS7, GMDS, SIX1/SIX6, TMCO1, and TXNRD2. However, there are variations in RF and genetic factors based on ethnic and geographic differences; it is clear that unified molecular pathways accounting for POAG pathogenesis remain uncertain, although inflammation and senescence likely play an important role. There are similar ethnic and geographic complexities in primary angle closure glaucoma (PACG), but several genes have been associated with this disorder, including MMP9, HGF, HSP70, MFRP, and eNOS. In exfoliation glaucoma (XFG), genes implicated include LOXL1, CACNA1A, POMP, TMEM136, AGPAT1, RBMS3, and SEMA6A. Despite tremendous progress, major gaps remain in resolving the genetic architecture for the various glaucoma subtypes across ancestries. Large scale carefully designed studies are required to advance understanding of genetic loci as RF in glaucoma pathophysiology and to improve diagnosis and treatment options.


Subject(s)
Exfoliation Syndrome/genetics , Eye Proteins/genetics , Genetic Predisposition to Disease , Glaucoma, Angle-Closure/genetics , Glaucoma, Open-Angle/genetics , Nerve Tissue Proteins/genetics , Adult , Aged , Asian People , Black People , Exfoliation Syndrome/ethnology , Exfoliation Syndrome/pathology , Female , Genome-Wide Association Study , Glaucoma, Angle-Closure/ethnology , Glaucoma, Angle-Closure/pathology , Glaucoma, Open-Angle/ethnology , Glaucoma, Open-Angle/pathology , Hispanic or Latino , Humans , Intraocular Pressure , Male , Multifactorial Inheritance , Polymorphism, Genetic , Risk Factors , White People
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