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Grant: Collaborative Health Research Projects

University of Waterloo

$282,565.00

Novel non-invasive imaging of amyloid in the retina of the eye as a predictor of amyloid in the brain in Alzheimer's disease

FY 2017-18

Summary
Alzheimers disease (AD) currently cannot be cured and is often not diagnosed in its early stages. The disease has a largeimpact on patients as well as their families, caregivers and society as a whole. Probable AD is currently diagnosed by clinicalevaluation, including cognitive testing and by detecting the protein, amyloid in plaques in the brain via expensive brainscans. We have developed a method that uses light (without dye) to detect the amyloid in the nerve cell layers of the retinaof the eye as a marker of its presence in the brain. An imaging device based on this method will be much less expensive,less invasive and more broadly available than brain scans. A successful device will be able to detect people at risk for AD atan early stage. Then patients could receive early stage treatments to prevent or slow the progression of the disease. Thismethod of tracking a marker of the disease would make it useful for testing new treatments, which target amyloid early inAD, and would reduce the cost of their development. Earlier and better treatments would lead to better quality of life forpatients and their families and ultimately prevent the devastating consequences of AD.Our device testing will examine the relationship between amyloid in the retina and amyloid in the brain both in the living eyeand after death. Our goal will be to predict the load of amyloid in the brain from our measurements of amyloid in the retina.We will study those diagnosed with probable AD, mild cognitive impairment due to AD pathology and those with geneticmarkers at risk for AD. As a comparison population, we will also image the living eyes and brains of normal older people andthose with symptoms of dementia not due to AD (in whom less brain amyloid is expected). If the device successfully predictsthe amount of amyloid in the brain, it may be used to screen those at risk of developing AD.
Program
Collaborative Health Research Projects
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data

As published

Application id
493617-2016
Name nom
Campbell, Melanie
Department département
Physics and Astronomy
Organization id
33
Institution établissement
University of Waterloo
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2017
Competition year année de concours
2016
Award amount
282565
Program id
CHRPJ
Program name en
Collaborative Health Research Projects
Program name fr
Projets de recherche concertée sur la santé
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
360
Committee name en
Collaborative Health Research Projects Selection Panel
Committee name fr
Comité de sélection de projets de recherche concertée sur la santé
Area of application code
9999
Area of application group en
Not available
Area of application group fr
Non disponible
Area of application en
Not available
Area of application fr
Non disponible
Research subject code
9999
Research subject group en
Not available
Research subject group fr
Non disponible
Research subject en
Not available
Research subject fr
Non disponible
Partie
2 & 3
Nb partie
3
Application title
Novel non-invasive imaging of amyloid in the retina of the eye as a predictor of amyloid in the brain in Alzheimer's disease
Keyword
NSERC
Application summary
Alzheimers disease (AD) currently cannot be cured and is often not diagnosed in its early stages. The disease has a largeimpact on patients as well as their families, caregivers and society as a whole. Probable AD is currently diagnosed by clinicalevaluation, including cognitive testing and by detecting the protein, amyloid in plaques in the brain via expensive brainscans. We have developed a method that uses light (without dye) to detect the amyloid in the nerve cell layers of the retinaof the eye as a marker of its presence in the brain. An imaging device based on this method will be much less expensive,less invasive and more broadly available than brain scans. A successful device will be able to detect people at risk for AD atan early stage. Then patients could receive early stage treatments to prevent or slow the progression of the disease. Thismethod of tracking a marker of the disease would make it useful for testing new treatments, which target amyloid early inAD, and would reduce the cost of their development. Earlier and better treatments would lead to better quality of life forpatients and their families and ultimately prevent the devastating consequences of AD.Our device testing will examine the relationship between amyloid in the retina and amyloid in the brain both in the living eyeand after death. Our goal will be to predict the load of amyloid in the brain from our measurements of amyloid in the retina.We will study those diagnosed with probable AD, mild cognitive impairment due to AD pathology and those with geneticmarkers at risk for AD. As a comparison population, we will also image the living eyes and brains of normal older people andthose with symptoms of dementia not due to AD (in whom less brain amyloid is expected). If the device successfully predictsthe amount of amyloid in the brain, it may be used to screen those at risk of developing AD.