Diabetes and other retinal vascular diseases are a major cause of vision loss. This work builds on our measures of vascular remodeling in diabetes using adaptive optics (AO) retinal imaging. AO retinal imaging provides highly accurate and reproducible measures of both structural changes to the vascular walls of arterioles, and functional measures of blood flow and neurovascular coupling between visual stimulation and blood flow. By taking advantage of the precision of AO imaging we can make highly reproducible and accurate measurements of changes to retinal microvessels.
In Aim 1 we will test the hypothesis that using a unique index of vascular wall damage which is insensitive to sampling biases can act as an index of diabetic damage. We will also generate a new measure of arteriole damage based on variability in the thickness of the vessel walls, presumably arising from endothelial and pericyte cell loss. We will then test whether these easily measured biomarkers are sensitive to local retinal ischemia, and can be used to measure progression of DR. Improving measurements in early DR is important as the clinical pathology is ultimately a consequence of these early changes. We will also test whether impaired neurovascular coupling is associated with these vascular changes.
In Aim 2 we will measure early changes to the cone photoreceptors in diabetes, including both local areas of less reflective cones and regions of disordered cones and relate these changes to vascular changes. By also measuring visual sensitivity in areas with cone changes and those without we will test the hypothesis that imaging measurements can be used to understand the sensitivity changes occurring in DR.
In Aim 3 we will for the first time, measure quantitative 3D flow maps of entire regions of the retinal vascular network. Flow maps include information as to where blood is flowing, velocity, size and in which direction allowing network quantification. Because the distribution of flow through a vascular network is sensitive to physical and biological constraints, flow maps will change markedly as capillary occlusion occur. By combining our state-of-the-art for retinal imaging of the vasculature with clinically available data we will continue to better understand the anatomical and functional basis for clinically observable damage. This work will advance our long term scientific goals of understanding the role that early vascular changes play in vision loss, our clinical goal of developing new approaches to identify those individuals most at risk for damage, as well as allow improved monitoring of future treatments on an individual basis.

Public Health Relevance

Diabetic retinopathy is the leading cause of blindness in working age adults. This research will use high resolution adaptive optics imaging to study the early stages of damage to the retinal blood vessels and photoreceptors. The work will provide the first detailed analysis of local changes in microvascular wall health, and changes in blood flow and blood vessel structure that occur in diabetes and how they relate to progression of diabetic retinopathy.

Agency
National Institute of Health (NIH)
Institute
National Eye Institute (NEI)
Type
Research Project (R01)
Project #
5R01EY024315-07
Application #
10077551
Study Section
Diseases and Pathophysiology of the Visual System Study Section (DPVS)
Program Officer
Shen, Grace L
Project Start
2014-12-01
Project End
2024-11-30
Budget Start
2020-12-01
Budget End
2021-11-30
Support Year
7
Fiscal Year
2021
Total Cost
Indirect Cost
Name
Indiana University Bloomington
Department
Type
Schools of Optometry/Opht Tech
DUNS #
006046700
City
Bloomington
State
IN
Country
United States
Zip Code
47401
Sapoznik, Kaitlyn A; Luo, Ting; de Castro, Alberto et al. (2018) Enhanced retinal vasculature imaging with a rapidly configurable aperture. Biomed Opt Express 9:1323-1333
Arthur, Edmund; Papay, Joel A; Haggerty, Bryan P et al. (2018) Subtle changes in diabetic retinas localised in 3D using OCT. Ophthalmic Physiol Opt 38:477-491
Burns, Stephen A; Elsner, Ann E; Sapoznik, Kaitlyn A et al. (2018) Adaptive optics imaging of the human retina. Prog Retin Eye Res :
de Castro, Alberto; Sawides, Lucie; Qi, Xiaofeng et al. (2017) Adaptive optics retinal imaging with automatic detection of the pupil and its boundary in real time using Shack-Hartmann images. Appl Opt 56:6748-6754
Luo, Ting; Gast, Thomas J; Vermeer, Tyler J et al. (2017) Retinal Vascular Branching in Healthy and Diabetic Subjects. Invest Ophthalmol Vis Sci 58:2685-2694
Elsner, Ann E; Chui, Toco Y P; Feng, Lei et al. (2017) Distribution differences of macular cones measured by AOSLO: Variation in slope from fovea to periphery more pronounced than differences in total cones. Vision Res 132:62-68
Marcos, Susana; Werner, John S; Burns, Stephen A et al. (2017) Vision science and adaptive optics, the state of the field. Vision Res 132:3-33
King, Brett J; Sapoznik, Kaitlyn A; Elsner, Ann E et al. (2017) SD-OCT and Adaptive Optics Imaging of Outer Retinal Tubulation. Optom Vis Sci 94:411-422
Sawides, Lucie; Sapoznik, Kaitlyn A; de Castro, Alberto et al. (2017) Alterations to the Foveal Cone Mosaic of Diabetic Patients. Invest Ophthalmol Vis Sci 58:3395-3403
Sawides, Lucie; de Castro, Alberto; Burns, Stephen A (2017) The organization of the cone photoreceptor mosaic measured in the living human retina. Vision Res 132:34-44

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