Investigative Ophthalmology & Visual Science Cover Image for Volume 65, Issue 9
July 2024
Volume 65, Issue 9
Open Access
ARVO Imaging in the Eye Conference Abstract  |   July 2024
Retinal hyperspectral imaging in mouse models of Parkinson’s disease and healthy aging
Author Affiliations & Notes
  • Christine Nguyen
    Optometry and Vision Science, The University of Melbourne Faculty of Medicine Dentistry and Health Sciences, Melbourne, Victoria, Australia
  • Paul Trlin
    Optometry and Vision Science, The University of Melbourne Faculty of Medicine Dentistry and Health Sciences, Melbourne, Victoria, Australia
  • Jenny Gong
    Optometry and Vision Science, The University of Melbourne Faculty of Medicine Dentistry and Health Sciences, Melbourne, Victoria, Australia
  • Katie KN Tran
    Optometry and Vision Science, The University of Melbourne Faculty of Medicine Dentistry and Health Sciences, Melbourne, Victoria, Australia
  • Vickie HY Wong
    Optometry and Vision Science, The University of Melbourne Faculty of Medicine Dentistry and Health Sciences, Melbourne, Victoria, Australia
  • Pei Ying Lee
    Optometry and Vision Science, The University of Melbourne Faculty of Medicine Dentistry and Health Sciences, Melbourne, Victoria, Australia
  • Anh Hoang
    Optometry and Vision Science, The University of Melbourne Faculty of Medicine Dentistry and Health Sciences, Melbourne, Victoria, Australia
  • Leah C Beauchamp
    The Florey Institute of Neuroscience and Mental Health, Parkville, Victoria, Australia
  • Jeremiah Lim
    Optometry and Vision Science, The University of Melbourne Faculty of Medicine Dentistry and Health Sciences, Melbourne, Victoria, Australia
  • Andrew Metha
    Optometry and Vision Science, The University of Melbourne Faculty of Medicine Dentistry and Health Sciences, Melbourne, Victoria, Australia
  • Kevin J Barnham
    The Florey Institute of Neuroscience and Mental Health, Parkville, Victoria, Australia
  • Bang Bui
    Optometry and Vision Science, The University of Melbourne Faculty of Medicine Dentistry and Health Sciences, Melbourne, Victoria, Australia
  • David Finkelstein
    The Florey Institute of Neuroscience and Mental Health, Parkville, Victoria, Australia
  • Phillip Bedggood
    Optometry and Vision Science, The University of Melbourne Faculty of Medicine Dentistry and Health Sciences, Melbourne, Victoria, Australia
  • Footnotes
    Commercial Relationships   Christine Nguyen, None; Paul Trlin, None; Jenny Gong, None; Katie Tran, None; Vickie Wong, None; Pei Ying Lee, None; Anh Hoang, None; Leah Beauchamp, None; Jeremiah Lim, None; Andrew Metha, None; Kevin Barnham, None; Bang Bui, None; David Finkelstein, None; Phillip Bedggood, None
  • Footnotes
    Support  US Department of Defence CDMRP PD210055
Investigative Ophthalmology & Visual Science July 2024, Vol.65, PP005. doi:
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      Christine Nguyen, Paul Trlin, Jenny Gong, Katie KN Tran, Vickie HY Wong, Pei Ying Lee, Anh Hoang, Leah C Beauchamp, Jeremiah Lim, Andrew Metha, Kevin J Barnham, Bang Bui, David Finkelstein, Phillip Bedggood; Retinal hyperspectral imaging in mouse models of Parkinson’s disease and healthy aging. Invest. Ophthalmol. Vis. Sci. 2024;65(9):PP005.

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

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Abstract

Purpose : Hyperspectral imaging is a non-invasive imaging method that has shown promise in Alzheimer’s disease. Parkinson’s disease is another neurodegenerative disease where brain pathobiology such as alpha-synuclein and iron overaccumulation have been implicated in the retina. We tested the hypothesis that hyperspectral imaging was altered in two in vivo mouse models of Parkinson’s disease and examined whether this differed from healthy aging.

Methods : Transgenic mouse models that target alpha-synuclein (A53T; 4, 6, 14 months-old) and iron accumulation (TauKO; 8, 18 months) were compared against wild-type littermates (n=8-18/group). To examine healthy ageing, three cohorts of control mice were assessed, C57blk6J, WT controls from A53T and TauKO mice (3-18 months-old). Hyperspectral imaging was conducted from 320-680nm (Polychrome-V light, cMOS camera). Spectral reflectivity was analysed using a two-way ANOVA with Benjamini correction (Prism, GraphPad). Multivariate analysis was performed to examine the influence of healthy aging, alpha-synuclein, iron and RNFL thickness on hyperspectral imaging (MATLAB R2019a).

Results : Older A53T and TauKO mice (14,18 months-old respectively) show significant interaction effects (p<0.001) with increased reflectivity particularly at shorter wavelengths (<550nm). At younger ages A53T and TauKO mice did not show interaction effects (p>0.05). A different pattern of hyperspectral reflectivity was observed in healthy aging, with a reduction in reflectivity with advancing age (p<0.0001). Multivariate analysis of hyperspectral imaging were significant when plotted against age. Moreover, when alpha-synuclein, iron or retinal nerve fibre layer thickness were added as a cofactor this improved R2 in certain groups.

Conclusions : Two mouse models of PD exhibit an alteration in spectral reflectivity of the retina. The hyperspectral signature exhibited with the PD models is distinct from that observed with normal healthy ageing. There is a suggestion that factors including retinal deposition of alpha-synuclein and and retinal nerve fibre layer thickness may play a role. These findings suggest that hyperspectral imaging may be a promising translation tool in the study of Parkinson’s disease.

This abstract was presented at the 2024 ARVO Imaging in the Eye Conference, held in Seattle, WA, May 4, 2024.

 

Normalised plots highlighting the Parkinson's disease (PD) hyperspectral phenotype is distinct from the healthy aging phenotype

Normalised plots highlighting the Parkinson's disease (PD) hyperspectral phenotype is distinct from the healthy aging phenotype

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