Investigative Ophthalmology & Visual Science Cover Image for Volume 65, Issue 7
June 2024
Volume 65, Issue 7
Open Access
ARVO Annual Meeting Abstract  |   June 2024
Quantifying retinal putative gliosis in preclinical Alzheimer’s disease
Author Affiliations & Notes
  • Swetha Ravichandran
    The University of Alabama at Birmingham School of Optometry, Birmingham, Alabama, United States
  • Peter J. Snyder
    Department of Neurology, Brown University Warren Alpert Medical School, Providence, Rhode Island, United States
    Department of Biomedical and Pharmaceutical Sciences, University of Rhode Island, Kingston, Rhode Island, United States
  • Jessica Alber
    Department of Biomedical and Pharmaceutical Sciences, University of Rhode Island, Kingston, Rhode Island, United States
    George and Anne Ryan Institute for Neuroscience, University of Rhode Island, Kingston, Rhode Island, United States
  • Madelyn R. Kenny
    The University of Alabama at Birmingham School of Optometry, Birmingham, Alabama, United States
  • Andrew Rothstein
    The University of Alabama at Birmingham School of Optometry, Birmingham, Alabama, United States
  • Keisha Brown
    The University of Alabama at Birmingham School of Optometry, Birmingham, Alabama, United States
  • Charles Murchison
    Alzheimer’s Disease Research Center, University of Alabama at Birmingham, Birmingham, Alabama, United States
  • Olivio J. Clay
    Alzheimer’s Disease Research Center, University of Alabama at Birmingham, Birmingham, Alabama, United States
  • Erik D. Roberson
    Alzheimer’s Disease Research Center, University of Alabama at Birmingham, Birmingham, Alabama, United States
  • Edmund Arthur
    The University of Alabama at Birmingham School of Optometry, Birmingham, Alabama, United States
  • Footnotes
    Commercial Relationships   Swetha Ravichandran None; Peter Snyder None; Jessica Alber None; Madelyn Kenny None; Andrew Rothstein None; Keisha Brown None; Charles Murchison None; Olivio Clay None; Erik Roberson None; Edmund Arthur None
  • Footnotes
    Support  This study is supported by NIH/NIA R21AG079794 to EA, NIH/NIA P20AG068024 to EDR, and part of the Atlas of Retinal Imaging in Alzheimer’s Study (ARIAS) supported by a generous grant from the Morton Plant Mease Health Care Foundation (Clearwater, FL, USA) to PJS and Stuart Sinoff (co-PIs).
Investigative Ophthalmology & Visual Science June 2024, Vol.65, 444. doi:
  • Views
  • Share
  • Tools
    • Alerts
      ×
      This feature is available to authenticated users only.
      Sign In or Create an Account ×
    • Get Citation

      Swetha Ravichandran, Peter J. Snyder, Jessica Alber, Madelyn R. Kenny, Andrew Rothstein, Keisha Brown, Charles Murchison, Olivio J. Clay, Erik D. Roberson, Edmund Arthur; Quantifying retinal putative gliosis in preclinical Alzheimer’s disease. Invest. Ophthalmol. Vis. Sci. 2024;65(7):444.

      Download citation file:


      © ARVO (1962-2015); The Authors (2016-present)

      ×
  • Supplements
Abstract

Purpose : Neuroinflammation plays a significant role in the amyloid pathological cascade of Alzheimer’s disease (AD). Mouse models of AD and post-mortem biopsy of AD patients reveal retinal glial activation comparable to CNS immunoreactivity. We hypothesized the surface area of retinal putative gliosis observed in vivo using en face Optical Coherence Tomography (OCT) imaging will be larger in preclinical AD (cognitively unimpaired; CU Aβ PET +ve) patients vs. controls (CU Aβ PET -ve).

Methods : The Spectralis II instrument was used to acquire macular centered 20×20 and 30x25-deg Spectral Domain OCT (SD-OCT) images of 76 participants (132 eyes). A cohort of 22 preclinical AD (40 eyes; mean age: 69 years; range: 60-80) and 20 control participants (32 eyes; mean age: 66 years; range: 58-82; p = 0.11) were included for the assessment of difference in surface area of retinal putative gliosis and retinal nerve fiber layer (RNFL) thickness. The surface area of retinal putative gliosis defined as hyperreflective structures was computed using a custom program in MATLAB analyzing three SD-OCT en face slabs. Vendor software was used to segment and compute RNFL thickness at the macular for the nine sectors of the Early Treatment Diabetic Retinopathy Study (ETDRS) map. Test-retest repeatability for the surface area of retinal putative gliosis was assessed in 39 participants (65 eyes) using intraclass correlation coefficient (ICC). Generalized linear mixed models were used to compare the difference in surface area of retinal putative gliosis and RNFL thickness at the nine ETDRS sectors between groups, accounting for correlation between eyes. A p-value < 0.05 was considered significant.

Results : Test-retest repeatability was good, ICC = 0.88 (95% CI = 0.81-0.93). The surface area of retinal putative gliosis was significantly greater in the preclinical group (0.97 ± 0.55 mm2) compared to controls (0.68 ± 0.40 mm2); F(1,70) = 4.41, p = 0.039; Cohen’s d = 0.61. There was no significant difference between groups for RNFL thickness in the nine ETDRS sectors, p > 0.05.

Conclusions : Our analysis shows greater retinal putative gliosis in preclinical AD compared to controls. This demonstrates retinal putative gliosis as a potential biomarker for AD-related neuroinflammation.

This abstract was presented at the 2024 ARVO Annual Meeting, held in Seattle, WA, May 5-9, 2024.

 

En-face OCT (A, B), corresponding b-scans (C-F) and processed images (G,H) demonstrating increased retinal putative gliosis in preclinical AD vs. control.

En-face OCT (A, B), corresponding b-scans (C-F) and processed images (G,H) demonstrating increased retinal putative gliosis in preclinical AD vs. control.

×
×

This PDF is available to Subscribers Only

Sign in or purchase a subscription to access this content. ×

You must be signed into an individual account to use this feature.

×