Grant: Project Grant
McGill University
$1,105,425.00
Sex, Risk Factors, and Alzheimer's Disease Pathology: Pathway Modeling to Predict Individual Cognitive Decline
EF 2025-26
Résumé
Alzheimer's disease impairs memory and thinking, but it does not progress the same way for everyone. Some people decline quickly, while others stay stable for years. Scientists have discovered that sex, the biological differences between males and females, plays a major role in this variability. Gender, as a socio-cultural variable, also plays a role. Females are more likely to develop AD and experience faster memory decline than males, even when they have the same levels of harmful brain proteins, like amyloid and tau. However, we don't fully understand why.
Our project brings together data from over 10,000 people across eight major studies, using brain scans (MRI and PET), spinal fluid tests, and memory tests. We will study the pathways by which sex and gender affect the buildup of amyloid and tau proteins, brain shrinkage, and memory decline. Alzheimer's disease is the most common cause of dementia, affecting more than half a million Canadians today, and this number will rise sharply as our population ages. Understanding sex and gender effects are critical for developing more personalized and equitable approaches to prevention and care.
We will also create a new tool called a "Digital Twin" to predict how memory and thinking may decline in new patients. Just as a doctor compares a new patient to past patients with similar symptoms, a digital twin compares each individual to a set of "virtual twins", i.e., previous patients drawn from a large database. This tool can make Alzheimer's trials more efficient by boosting power to detect treatment effects, enabling faster completion with smaller patient groups.
By combining cutting-edge statistical modeling with careful attention to sex and gender, this project aims to improve our understanding of why females are more affected by Alzheimer's disease, give doctors better tools to predict memory decline, and ultimately speed the search for effective treatments for patients and their families.
Programme
Project Grant
Bénéficiaire
Emplacement
Quebec, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
CIHR Funding Decisions Database
Tel que publié
Id
534781
Name
Collins Donald L
Region
Québec
Country
Canada
Orgtype
Research Institution; Institution Paid
Instname2
Neurosciences, Mental Health and Addiction
Theme2
Biomedical
Prcname2
Biological and Clinical Aspects of Aging
Projecttitle
Sex, Risk Factors, and Alzheimer's Disease Pathology: Pathway Modeling to Predict Individual Cognitive Decline
Programtype2
Operating Grants
Orgnameinp2
McGill University
Cihramount2
$1,105,425
Cihrequipment2
$0
Programname2
Project Grant
Keyworddelim
Aging; Alzheimer'S Disease; Biomarker; Cognitive Decline; Cognitive Trajectory Model; Dementia; Image Processing; Magnetic Resonance Imaging; Prognosis; Sex
Abstract
Alzheimer's disease impairs memory and thinking, but it does not progress the same way for everyone. Some people decline quickly, while others stay stable for years. Scientists have discovered that sex, the biological differences between males and females, plays a major role in this variability. Gender, as a socio-cultural variable, also plays a role. Females are more likely to develop AD and experience faster memory decline than males, even when they have the same levels of harmful brain proteins, like amyloid and tau. However, we don't fully understand why.
Our project brings together data from over 10,000 people across eight major studies, using brain scans (MRI and PET), spinal fluid tests, and memory tests. We will study the pathways by which sex and gender affect the buildup of amyloid and tau proteins, brain shrinkage, and memory decline. Alzheimer's disease is the most common cause of dementia, affecting more than half a million Canadians today, and this number will rise sharply as our population ages. Understanding sex and gender effects are critical for developing more personalized and equitable approaches to prevention and care.
We will also create a new tool called a "Digital Twin" to predict how memory and thinking may decline in new patients. Just as a doctor compares a new patient to past patients with similar symptoms, a digital twin compares each individual to a set of "virtual twins", i.e., previous patients drawn from a large database. This tool can make Alzheimer's trials more efficient by boosting power to detect treatment effects, enabling faster completion with smaller patient groups.
By combining cutting-edge statistical modeling with careful attention to sex and gender, this project aims to improve our understanding of why females are more affected by Alzheimer's disease, give doctors better tools to predict memory decline, and ultimately speed the search for effective treatments for patients and their families.
Competitiondate
202509
Approvedterm2
5 yrs 0 mth
Pinamesdelim
Collins, Donald L
Approvedterm
5 ans 0 mois
Cihrcontribution2
~ $1,105,425~ $0~