June 2023
Volume 64, Issue 8
Open Access
ARVO Annual Meeting Abstract  |   June 2023
Structural Comparison of Tree Shrew and Mouse Inner Retina by Visible-Light Optical Coherence Tomography and Confocal Microscopy
Author Affiliations & Notes
  • Marta Grannonico
    Biology, University of Virginia, Charlottesville, Virginia, United States
  • David Andrew Miller
    Biomedical Engineering, Northwestern University, Evanston, Illinois, United States
  • Mingna Liu
    Biology, University of Virginia, Charlottesville, Virginia, United States
  • Elise Savier
    Biology, University of Virginia, Charlottesville, Virginia, United States
  • Alev Erisir
    Psychology, University of Virginia, Charlottesville, Virginia, United States
  • Jianhua Cang
    Biology, University of Virginia, Charlottesville, Virginia, United States
    Psychology, University of Virginia, Charlottesville, Virginia, United States
  • Hao F Zhang
    Biomedical Engineering, Northwestern University, Evanston, Illinois, United States
  • Xiaorong Liu
    Biology, University of Virginia, Charlottesville, Virginia, United States
    Psychology, University of Virginia, Charlottesville, Virginia, United States
  • Footnotes
    Commercial Relationships   Marta Grannonico None; David Miller None; Mingna Liu None; Elise Savier None; Alev Erisir None; Jianhua Cang None; Hao Zhang Opticent Health, Code O (Owner); Xiaorong Liu None
  • Footnotes
    Support  R01EY029121
Investigative Ophthalmology & Visual Science June 2023, Vol.64, 3373. doi:
  • Views
  • Share
  • Tools
    • Alerts
      ×
      This feature is available to authenticated users only.
      Sign In or Create an Account ×
    • Get Citation

      Marta Grannonico, David Andrew Miller, Mingna Liu, Elise Savier, Alev Erisir, Jianhua Cang, Hao F Zhang, Xiaorong Liu; Structural Comparison of Tree Shrew and Mouse Inner Retina by Visible-Light Optical Coherence Tomography and Confocal Microscopy. Invest. Ophthalmol. Vis. Sci. 2023;64(8):3373.

      Download citation file:


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

      ×
  • Supplements
Abstract

Purpose : The need for animal models that closely resemble the relevant anatomy and pathologic features of human eye disease is still unmet. Tree shrew eyes share many similar features to human eyes, including a structured lamina cribrosa and fovea-like structure, which allow them to better mimic human pathology than rodent models. In this study, we performed in vivo imaging using visible-light optical coherence tomography (vis-OCT) and ex vivo imaging using confocal microscopy to closely examine the inner retina structural differences in mouse and tree shrew.

Methods : We acquired vis-OCT fibergram images from healthy wild type C57BL/6 mice and tree shrews to visualize the nerve fiber bundles and other inner retinal features. After in vivo imaging, eyes from both animals were sectioned and immunostained with retinal ganglion cell (RGC) axon bundles were labeled with Tuj1, RGC soma were labeled with RBPMS and Brn-3a, and amacrine cells and their processes were labeled by GAD67 and ChAT. Immunostained retinas were then imaged ex vivo with confocal microscopy and compared with resampled vis-OCT images.

Results : RGC axon bundles were more densely packed with elongated and irregular cross sections in tree shrew compared to mice. Resampled circumpapillary vis-OCT B-scans revealed a thicker ganglion cell layer (GCL) in tree shrew compared to mice, which was confirmed by the confocal microscopy images of Brn-3a and RBPMS labeling. In the tree shrew inner plexiform layer (IPL), we identified four sublayers with vis-OCT which correlated with ex vivo confocal images of retinal sections immunostained by GAD67 and ChAT labeling.

Conclusions : Our in vivo and ex vivo imaging revealed major differences between the tree shrew and mouse inner retina anatomy, making tree shrews an ideal model to study eye disease.

This abstract was presented at the 2023 ARVO Annual Meeting, held in New Orleans, LA, April 23-27, 2023.

×
×

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.

×