Glaucoma is the second leading cause of blindness worldwide, and current therapies are not always effective. Glaucoma is characterized by degeneration of retinal ganglion cells (RGC). RGCs carry vision information from the eye to the brain via axons that form the optic nerve (ON) as they exit the eye through the optic nerve head (ONH). Elevated intraocular pressure (IOP) is a key risk factor in glaucoma, and previous studies have shown that it increases biomechanical stress and strain in the ONH; further, the ONH is a primary region of damage in glaucoma. This and other evidence has led to the well-accepted hypothesis that biomechanical insult is a key driver leading to RGC death in glaucoma. However, a gap in current knowledge exists: the mechanisms by which biomechanical insult leads to RGC death are not well-understood. We can address this gap by comparing a regional biomechanical characterization of the ONH with a characterization of regional RGC death and cellular response patterns, such as astrocyte activation. Such a comparison will suggest critical levels of biomechanical insult leading to RGC loss and thus ultimately suggest targets for novel, non-IOP lowering therapies. Towards this end, experimental rodent glaucoma models, like the rat, are necessary for investigating cellular behavior since they allow for high subject numbers. However, there are substantial differences between rat and human ONH anatomy that likely result in different ONH biomechanical patterns between the species. Further, although rats with ocular hypertension undergo similar ONH pathophysiology to that in human glaucoma, they also exhibit a regional RGC death pattern where axons in the superior ON die first. Our central hypothesis is that the documented differences in the rat vs. human ONH anatomy are influential on rat ONH biomechanics, and that the regionalized rat RGC death and cell response patterns are a result of the biomechanical environment in the rat ONH. At least two characterizations of the rat ONH under elevated IOP are necessary to test this hypothesis: 1) biomechanical stress and strain patterns and 2) cellular response patterns. In this proposal, we plan to provide the biomechanical characterization through a combination of experimental and numerical methods.
In Aim 1, we will determine the material properties of rat ONH tissues. Next, we will use a numerical method called finite element (FE) modeling to simulate stress and strain patterns in the rat ONH under elevated IOP. First, in Aim 2, we will conduct a sensitivity analysis using a generic rat ONH FE model to determine the sensitivity of rat ONH strains to different geometric and material parameters. We hypothesize that aspects of rat ONH anatomy that differ from human ONH anatomy will be highly influential on rat ONH biomechanics. Finally, in Aim 3, we will build 8 FE models that incorporate individual-specific rat ONH geometries, resulting in higher fidelity than in Aim 2. We hypothesize that regional strain patterns seen in our models will correlate with patterns of RGC death and cellular response seen in rat glaucoma studies. These comparisons will improve understanding of how biomechanical insult leads to RGC death in glaucoma, driving development of novel glaucoma therapies.

Public Health Relevance

Glaucoma is the second leading cause of blindness, and although biomechanical insult is well-accepted as a key driver leading to cell death in glaucoma, the way in which this occurs is not well-understood. My research uses computational techniques to determine the previously uncharacterized, complex patterns of biomechanical stress and strain that occur in rats with glaucoma, a common way this disease is studied. Comparing my findings with regional patterns of abnormal cell behavior seen in those studies will lead to a better understanding of how biomechanics affects cell death in glaucoma, and could allow us to identify new targets for glaucoma treatment.

Agency
National Institute of Health (NIH)
Institute
National Eye Institute (NEI)
Type
Predoctoral Individual National Research Service Award (F31)
Project #
1F31EY028832-01A1
Application #
9541307
Study Section
Special Emphasis Panel (ZRG1)
Program Officer
Agarwal, Neeraj
Project Start
2018-07-01
Project End
2020-06-30
Budget Start
2018-07-01
Budget End
2019-06-30
Support Year
1
Fiscal Year
2018
Total Cost
Indirect Cost
Name
Georgia Institute of Technology
Department
Engineering (All Types)
Type
Biomed Engr/Col Engr/Engr Sta
DUNS #
097394084
City
Atlanta
State
GA
Country
United States
Zip Code
30318