Non-invasive in vivo hyperspectral imaging of the retina for potential biomarker use in Alzheimer’s disease

Xavier Hadoux; Flora Hui; Jeremiah K.H. Lim; Colin L. Masters; Alice Pébay; Sophie Chevalier; Jason Ha; Samantha Loi; Christopher J. Fowler; Christopher Rowe; Victor L. Villemagne; Edward N. Taylor; Christopher Fluke; Jean Paul Soucy; Frédéric Lesage; Jean Philippe Sylvestre; Pedro Rosa-Neto; Sulantha Mathotaarachchi; Serge Gauthier; Ziad S. Nasreddine; Jean Daniel Arbour; Marc André Rhéaume; Sylvain Beaulieu; Mohamed Dirani; Christine T.O. Nguyen; Bang V. Bui; Robert Williamson; Jonathan G. Crowston; Peter van Wijngaarden

doi:10.1038/s41467-019-12242-1

Non-invasive in vivo hyperspectral imaging of the retina for potential biomarker use in Alzheimer’s disease

Xavier Hadoux, Flora Hui, Jeremiah K.H. Lim, Colin L. Masters, Alice Pébay, Sophie Chevalier, Jason Ha, Samantha Loi, Christopher J. Fowler, Christopher Rowe, Victor L. Villemagne, Edward N. Taylor, Christopher Fluke, Jean Paul Soucy, Frédéric Lesage, Jean Philippe Sylvestre, Pedro Rosa-Neto, Sulantha Mathotaarachchi, Serge Gauthier, Ziad S. NasreddineJean Daniel Arbour, Marc André Rhéaume, Sylvain Beaulieu, Mohamed Dirani, Christine T.O. Nguyen, Bang V. Bui, Robert Williamson, Jonathan G. Crowston, Peter van Wijngaarden

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Abstract

Studies of rodent models of Alzheimer’s disease (AD) and of human tissues suggest that the retinal changes that occur in AD, including the accumulation of amyloid beta (Aβ), may serve as surrogate markers of brain Aβ levels. As Aβ has a wavelength-dependent effect on light scatter, we investigate the potential for in vivo retinal hyperspectral imaging to serve as a biomarker of brain Aβ. Significant differences in the retinal reflectance spectra are found between individuals with high Aβ burden on brain PET imaging and mild cognitive impairment (n = 15), and age-matched PET-negative controls (n = 20). Retinal imaging scores are correlated with brain Aβ loads. The findings are validated in an independent cohort, using a second hyperspectral camera. A similar spectral difference is found between control and 5xFAD transgenic mice that accumulate Aβ in the brain and retina. These findings indicate that retinal hyperspectral imaging may predict brain Aβ load.

Original language	English
Article number	4227
Number of pages	13
Journal	Nature Communications
Volume	10
DOIs	https://doi.org/10.1038/s41467-019-12242-1
Publication status	Published - 17 Sept 2019

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Hadoux, X., Hui, F., Lim, J. K. H., Masters, C. L., Pébay, A., Chevalier, S., Ha, J., Loi, S., Fowler, C. J., Rowe, C., Villemagne, V. L., Taylor, E. N., Fluke, C., Soucy, J. P., Lesage, F., Sylvestre, J. P., Rosa-Neto, P., Mathotaarachchi, S., Gauthier, S., ... van Wijngaarden, P. (2019). Non-invasive in vivo hyperspectral imaging of the retina for potential biomarker use in Alzheimer’s disease. Nature Communications, 10, Article 4227. https://doi.org/10.1038/s41467-019-12242-1

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title = "Non-invasive in vivo hyperspectral imaging of the retina for potential biomarker use in Alzheimer{\textquoteright}s disease",

abstract = "Studies of rodent models of Alzheimer{\textquoteright}s disease (AD) and of human tissues suggest that the retinal changes that occur in AD, including the accumulation of amyloid beta (Aβ), may serve as surrogate markers of brain Aβ levels. As Aβ has a wavelength-dependent effect on light scatter, we investigate the potential for in vivo retinal hyperspectral imaging to serve as a biomarker of brain Aβ. Significant differences in the retinal reflectance spectra are found between individuals with high Aβ burden on brain PET imaging and mild cognitive impairment (n = 15), and age-matched PET-negative controls (n = 20). Retinal imaging scores are correlated with brain Aβ loads. The findings are validated in an independent cohort, using a second hyperspectral camera. A similar spectral difference is found between control and 5xFAD transgenic mice that accumulate Aβ in the brain and retina. These findings indicate that retinal hyperspectral imaging may predict brain Aβ load.",

author = "Xavier Hadoux and Flora Hui and Lim, {Jeremiah K.H.} and Masters, {Colin L.} and Alice P{\'e}bay and Sophie Chevalier and Jason Ha and Samantha Loi and Fowler, {Christopher J.} and Christopher Rowe and Villemagne, {Victor L.} and Taylor, {Edward N.} and Christopher Fluke and Soucy, {Jean Paul} and Fr{\'e}d{\'e}ric Lesage and Sylvestre, {Jean Philippe} and Pedro Rosa-Neto and Sulantha Mathotaarachchi and Serge Gauthier and Nasreddine, {Ziad S.} and Arbour, {Jean Daniel} and Rh{\'e}aume, {Marc Andr{\'e}} and Sylvain Beaulieu and Mohamed Dirani and Nguyen, {Christine T.O.} and Bui, {Bang V.} and Robert Williamson and Crowston, {Jonathan G.} and {van Wijngaarden}, Peter",

note = "pen Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article{\textquoteright}s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article{\textquoteright}s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder",

year = "2019",

month = sep,

day = "17",

doi = "10.1038/s41467-019-12242-1",

language = "English",

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Hadoux, X, Hui, F, Lim, JKH, Masters, CL, Pébay, A, Chevalier, S, Ha, J, Loi, S, Fowler, CJ, Rowe, C, Villemagne, VL, Taylor, EN, Fluke, C, Soucy, JP, Lesage, F, Sylvestre, JP, Rosa-Neto, P, Mathotaarachchi, S, Gauthier, S, Nasreddine, ZS, Arbour, JD, Rhéaume, MA, Beaulieu, S, Dirani, M, Nguyen, CTO, Bui, BV, Williamson, R, Crowston, JG & van Wijngaarden, P 2019, 'Non-invasive in vivo hyperspectral imaging of the retina for potential biomarker use in Alzheimer’s disease', Nature Communications, vol. 10, 4227. https://doi.org/10.1038/s41467-019-12242-1

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AU - Hadoux, Xavier

AU - Hui, Flora

AU - Lim, Jeremiah K.H.

AU - Masters, Colin L.

AU - Pébay, Alice

AU - Chevalier, Sophie

AU - Ha, Jason

AU - Loi, Samantha

AU - Fowler, Christopher J.

AU - Rowe, Christopher

AU - Villemagne, Victor L.

AU - Taylor, Edward N.

AU - Fluke, Christopher

AU - Soucy, Jean Paul

AU - Lesage, Frédéric

AU - Sylvestre, Jean Philippe

AU - Rosa-Neto, Pedro

AU - Mathotaarachchi, Sulantha

AU - Gauthier, Serge

AU - Nasreddine, Ziad S.

AU - Arbour, Jean Daniel

AU - Rhéaume, Marc André

AU - Beaulieu, Sylvain

AU - Dirani, Mohamed

AU - Nguyen, Christine T.O.

AU - Bui, Bang V.

AU - Williamson, Robert

AU - Crowston, Jonathan G.

AU - van Wijngaarden, Peter

N1 - pen Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder

PY - 2019/9/17

Y1 - 2019/9/17

N2 - Studies of rodent models of Alzheimer’s disease (AD) and of human tissues suggest that the retinal changes that occur in AD, including the accumulation of amyloid beta (Aβ), may serve as surrogate markers of brain Aβ levels. As Aβ has a wavelength-dependent effect on light scatter, we investigate the potential for in vivo retinal hyperspectral imaging to serve as a biomarker of brain Aβ. Significant differences in the retinal reflectance spectra are found between individuals with high Aβ burden on brain PET imaging and mild cognitive impairment (n = 15), and age-matched PET-negative controls (n = 20). Retinal imaging scores are correlated with brain Aβ loads. The findings are validated in an independent cohort, using a second hyperspectral camera. A similar spectral difference is found between control and 5xFAD transgenic mice that accumulate Aβ in the brain and retina. These findings indicate that retinal hyperspectral imaging may predict brain Aβ load.

AB - Studies of rodent models of Alzheimer’s disease (AD) and of human tissues suggest that the retinal changes that occur in AD, including the accumulation of amyloid beta (Aβ), may serve as surrogate markers of brain Aβ levels. As Aβ has a wavelength-dependent effect on light scatter, we investigate the potential for in vivo retinal hyperspectral imaging to serve as a biomarker of brain Aβ. Significant differences in the retinal reflectance spectra are found between individuals with high Aβ burden on brain PET imaging and mild cognitive impairment (n = 15), and age-matched PET-negative controls (n = 20). Retinal imaging scores are correlated with brain Aβ loads. The findings are validated in an independent cohort, using a second hyperspectral camera. A similar spectral difference is found between control and 5xFAD transgenic mice that accumulate Aβ in the brain and retina. These findings indicate that retinal hyperspectral imaging may predict brain Aβ load.

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Non-invasive in vivo hyperspectral imaging of the retina for potential biomarker use in Alzheimer’s disease

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