Grant: Canada Postdoctoral Research Award (CPRA) program
Research Institute of the McGill University Health Centre
$140,000.00
Ultrastructural studies of the astrocyte-neuronal interface with machine learning in health and Alzheimer's disease models
EF 2025-26
Résumé
Alzheimer's disease (AD) is a major threat to the ageing population due to its high prevalence (10 - 35%) among people aged 65 and above. AD impairs multiple cognitive aspects, including memory, reasoning, language ability and emotional well-being. The cause of AD has been attributed to neuronal death that is accompanied by aberrant protein aggregations, such as beta-amyloid plaques. However, astrocytes, a type of non-neuronal brain cell as abundant as neurons, are equally affected in AD. Astrocytes are known to support and regulate normal neuronal functions. Hence, they are also essential to memory and cognition. Emerging evidence suggests that astrocyte pathological phenotypes can be found at early stages of AD, and astrocytes would excessively engulf neuronal components. This raises the need to investigate the changes in the astrocyte-neuron interface in AD.
The challenge of doing so is that astrocytes are one of the most complex cell types, and they possess important processes with sizes in the sub-micron scale. In this project, I will use Focused Ion Beam-Scanning Electron Microscopy (FIB-SEM), a powerful microscopy technology, to visualize astrocytes at nanometer resolution. An artificial intelligence will be trained to extract all the relevant astrocyte areas from the large datasets automatically. I will compare the structural features of the astrocyte-neuron interface in mice and non-human primates, marmosets, in healthy and AD situations. I will reconstruct the extracted EM images into digital 3D models for analyses of (1) cellular morphologies, (2) cellular content or organelle distributions and (3) astrocyte contacts with neurons. This project will help reveal new details about the structure-function relationship of astrocytes and the ways they interact with neurons in healthy and AD situations. The use of marmosets in the project also helps to bridge the gap between mice and humans and increase the translatability of findings in mice to humans.
Programme
Canada Postdoctoral Research Award (CPRA) program
Emplacement
Quebec, Canada
Type
Grant
Source
CIHR Funding Decisions Database
Tel que publié
Id
537989
Name
Fok Albert
Region
Québec
Country
Canada
Orgtype
Institution Paid; Research Institution
Instname2
Neurosciences, Mental Health and Addiction
Theme2
Biomedical
Prcname2
Canada Postdoctoral Research Award - A
Projecttitle
Ultrastructural studies of the astrocyte-neuronal interface with machine learning in health and Alzheimer's disease models
Programtype2
Fellowship Programs
Orgnameinp2
Research Institute of the McGill University Health Centre
Cihramount2
$140,000
Cihrequipment2
$0
Programname2
Canada Postdoctoral Research Award (CPRA) program
Keyworddelim
Astrocytes; Biomedical Imaging Of The Brain; Convolutional Neural Network; Electron Microscopy; Machine Learning; Marmosets; Mice; Neurons; Non-Human Primates; Ultrastructures
Abstract
Alzheimer's disease (AD) is a major threat to the ageing population due to its high prevalence (10 - 35%) among people aged 65 and above. AD impairs multiple cognitive aspects, including memory, reasoning, language ability and emotional well-being. The cause of AD has been attributed to neuronal death that is accompanied by aberrant protein aggregations, such as beta-amyloid plaques. However, astrocytes, a type of non-neuronal brain cell as abundant as neurons, are equally affected in AD. Astrocytes are known to support and regulate normal neuronal functions. Hence, they are also essential to memory and cognition. Emerging evidence suggests that astrocyte pathological phenotypes can be found at early stages of AD, and astrocytes would excessively engulf neuronal components. This raises the need to investigate the changes in the astrocyte-neuron interface in AD.
The challenge of doing so is that astrocytes are one of the most complex cell types, and they possess important processes with sizes in the sub-micron scale. In this project, I will use Focused Ion Beam-Scanning Electron Microscopy (FIB-SEM), a powerful microscopy technology, to visualize astrocytes at nanometer resolution. An artificial intelligence will be trained to extract all the relevant astrocyte areas from the large datasets automatically. I will compare the structural features of the astrocyte-neuron interface in mice and non-human primates, marmosets, in healthy and AD situations. I will reconstruct the extracted EM images into digital 3D models for analyses of (1) cellular morphologies, (2) cellular content or organelle distributions and (3) astrocyte contacts with neurons. This project will help reveal new details about the structure-function relationship of astrocytes and the ways they interact with neurons in healthy and AD situations. The use of marmosets in the project also helps to bridge the gap between mice and humans and increase the translatability of findings in mice to humans.
Competitiondate
202509
Approvedterm2
2 yrs 0 mth
Pinamesdelim
Fok, Albert
Approvedterm
2 ans 0 mois
Cihrcontribution2
~ $140,000~ $0~