Investigative Ophthalmology & Visual Science Cover Image for Volume 59, Issue 9
July 2018
Volume 59, Issue 9
Open Access
ARVO Annual Meeting Abstract  |   July 2018
Fluorophore Hyperspectral Signatures and Distribution in Canine Best Disease Compared to Analogous Fluorophores in Humans
Author Affiliations & Notes
  • Taariq Mohammed
    Ophthalmology, New York University School of Medicine, New York, New York, United States
  • Yuehong Tong
    New York Eye and Ear Infirmary, New York, New York, United States
  • Thomas Ach
    Department of Ophthalmology, University Hospital Würzburg, Würzburg, Germany
  • Martin Hammer
    Department of Opthalmology, University of Jena, Jena, Germany
  • R Theodore Smith
    New York Eye and Ear Infirmary, New York, New York, United States
  • Karina E Guziewicz
    School of Veterinary Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States
  • Footnotes
    Commercial Relationships   Taariq Mohammed, None; Yuehong Tong, None; Thomas Ach, None; Martin Hammer, None; R Theodore Smith, None; Karina Guziewicz, None
  • Footnotes
    Support   R01 EY015520 (RTS), R01 EY021470 (RTS), NEI EY06109 (CC), 2014 von Sallmann Prize (CC), EyeSight Foundation of Alabama (CC), Research to Prevent Blindness (CC), Dr. Werner Jackstädt Foundation (TA), IZKF Würzburg (TA)
Investigative Ophthalmology & Visual Science July 2018, Vol.59, 5857. doi:
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    • Get Citation

      Taariq Mohammed, Yuehong Tong, Thomas Ach, Martin Hammer, R Theodore Smith, Karina E Guziewicz; Fluorophore Hyperspectral Signatures and Distribution in Canine Best Disease Compared to Analogous Fluorophores in Humans. Invest. Ophthalmol. Vis. Sci. 2018;59(9):5857.

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

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Abstract

Purpose : Bestrophinopathies in humans and canine Best (cBest) disease both result from mutations of the BEST1 gene, and share certain features including presentation of retinal lesions. Hyperspectral autofluorescence (AF) imaging in humans ex vivo reveals characteristic signatures in normal eyes and those with age-related macular degeneration (AMD). Similar analysis of cBest fluorophore spectra and distribution in comparison could elucidate understanding of the physiology of both species.

Methods : Two cBest and two normal canine specimens yielded four tissue cross sections that were captured using 20X field hyperspectral AF imaging (Fig 1a). Excitation wavelengths of 436 480, and 505 nm were used with emissions collected from 420 nm to 720 nm, and the resulting multi-excitation hyperspectral data was unmixed using a non-negative matrix factorization into fluorophore emission spectra and spatial distributions.

Results : Two of the RPE fluorophore spectral profiles recovered in both normal dogs and cBest (Fig. 1b, spectra C2 and C5) matched those previously described in normal human eyes as S1 (or S1B) and S2 (Ben Ami et al., PMID 27226929). In some samples, only S1B was recovered. These fluorophores localized to both RPE and cBest lesions (Figs. 1c, 1d), instead of just within the RPE as in humans. There was another spectra that corresponded to both weak non-RPE autofluorescence and background noise (C1).

Conclusions : The presence of human RPE spectra in canine retina, in both normal and cBest samples, offers insight into the physiology of both species, and may apply to human Best disease. The physical distribution in cBest to both RPE and vitelliform lesions warrants further inquiry.

This is an abstract that was submitted for the 2018 ARVO Annual Meeting, held in Honolulu, Hawaii, April 29 - May 3, 2018.

 

Figure 1. The image, spectra, and abundances of a cBest AF image decomposed with non-negative matrix factorization.
Figure 1a: total AF emission image of cBest tissue. Star: subretinal space. Thick arrow: vitelliform granules in SR space. Thin arrow, RPE with lipofuscin
Figure 1b: Emission spectra showing C2 and C5 analogous to S2 and S1B human RPE spectra and a large background spectrum C1.
Figure 1c and 1d: The abundance localizations of the C2 and C5 spectra to both RPE and vitelliform granules in cBest tissue.

Figure 1. The image, spectra, and abundances of a cBest AF image decomposed with non-negative matrix factorization.
Figure 1a: total AF emission image of cBest tissue. Star: subretinal space. Thick arrow: vitelliform granules in SR space. Thin arrow, RPE with lipofuscin
Figure 1b: Emission spectra showing C2 and C5 analogous to S2 and S1B human RPE spectra and a large background spectrum C1.
Figure 1c and 1d: The abundance localizations of the C2 and C5 spectra to both RPE and vitelliform granules in cBest tissue.

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