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

Authors: Xavier Hadoux; Flora Hui; Jeremiah K. H. Lim; Colin L. Masters; Alice Pébay; Sophie Chevalier; Jason Ha; +22 Authors

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

Abstract

AbstractStudies 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.

Countries
Australia, Australia, Canada
Keywords

Male, 570, Science, Optical Coherence/methods, 610, Mice, Transgenic, Inbred C57BL, Transgenic, Article, Retina, Alzheimer Disease/diagnostic imaging/metabolism, Cohort Studies, Mice, Retina/diagnostic imaging/metabolism, Alzheimer Disease, 616, Animals, Humans, Amyloid beta-Peptides/chemistry/metabolism, Tomography, Aged, Biomarkers/chemistry/metabolism, Amyloid beta-Peptides, Q, Brain, Middle Aged, Mice, Inbred C57BL, Ophthalmology, Positron-Emission Tomography, Female, Brain/diagnostic imaging/metabolism, Biomarkers, Tomography, Optical Coherence

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    235
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 0.1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 1%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
235
Top 0.1%
Top 10%
Top 1%
Green
gold