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Grant: Discovery Horizons

Concordia University

$50,000.00

Cracking the tau pathology progression in the mouse brain: Computational approaches and directed anatomical brain networks modeling for neurodegenerative disease

FY 2024-25

Summary
Over 7.5 hundred thousand Canadians are living with dementia, according to the Alzheimer’s Association, and the Public Health Agency of Canada reported that dementia cost Canadians $8.3 billion dollars in 2011, and if this trend continues, the figure may double by 2031. Making up the dominant majority of causes leading to dementia, Alzheimer’s disease belongs to a group of neurodegenerative diseases known as tauopathies characterized by the aggregation and spreading of misfolded tau protein, which remains latent for many years until clinical symptoms like memory loss appear when a considerable portion of neurons in the brain are severely affected or permanently damaged. Hence, developing a computational method to accurately predict the spatiotemporal evolution of tau pathology can be a game changer in the fight against dementia, which is the main focus of this proposal. Due to the availability of in vitro measurement techniques, a major portion of previous computational methods are confined to in vitro, where high concentrations of free tau in the presence of an anionic aggregation inducer are used to support and accelerate aggregation, while our premier aim is to understand what happens in the brain, where tau monomers and aggregates with various concentrations are inextricably interacted and simultaneously affected by other pathways, such as protein turnover and clearance process, in an inhomogeneous and anisotropic medium. Although several computational models have been developed for in vivo tau pathology, none of them takes into account the simultaneous impacts of directionality and nonlinearity on the transmission of toxic tau species to the best of our knowledge. In addition, Aβ oligomers and tau exacerbate glutamate production and inhibit its recapture. Thus, brain hyperactivation is that it reflects glutamatergic excitotoxicity. As part of our methodology for realistically modeling such complex simultaneous impacts, there is a need to conduct animal experiments including immunohistochemistry with AT8 antibody against toxic tau species induced by injections of tau and Aβ seeds into the mouse brain, two-photon imaging of neuronal and astrocytic activities, and monitoring glutamate release levels. In fact, we aim to construct a comprehensive computational framework, with sufficient complexity, devised based on and validated with experimental data to capture the tauopathy progression, bringing together neuroscientists, biologists, and engineers.
Program
Discovery Horizons
Location
Quebec, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data

As published

Application id
DH-2024-00167
Name nom
Benali, Habib
Department département
ECE - Concordia University
Organization id
70
Institution établissement
Concordia University
Province en
Québec
Province fr
Québec
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2024
Competition year année de concours
2024
Award amount
50000
Program id
DH
Program name en
Discovery Horizons
Program name fr
Horizons de la découverte
Group en
DISCOVERY RESEARCH
Group fr
RECHERCHE AXÉE SUR LA DÉCOUVERTE
Committee code
nan
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
Field of research list codes
RDF1010204
Field of research list names en
Mathematical modelling and simulation
Field of research list names fr
Modélisation et simulation mathématiques
Socioeconomic objective list names en
Not available
Socioeconomic objective list names fr
Non disponible
Application title
Cracking the tau pathology progression in the mouse brain: Computational approaches and directed anatomical brain networks modeling for neurodegenerative disease
Keywords
computational neuroscience; neuroimaging; numerical simulation; dynamical systems; connectivity and brain activity; neurovascular coupling; systems biology; neurodegenerative diseases
Application summary
Over 7.5 hundred thousand Canadians are living with dementia, according to the Alzheimer’s Association, and the Public Health Agency of Canada reported that dementia cost Canadians $8.3 billion dollars in 2011, and if this trend continues, the figure may double by 2031. Making up the dominant majority of causes leading to dementia, Alzheimer’s disease belongs to a group of neurodegenerative diseases known as tauopathies characterized by the aggregation and spreading of misfolded tau protein, which remains latent for many years until clinical symptoms like memory loss appear when a considerable portion of neurons in the brain are severely affected or permanently damaged. Hence, developing a computational method to accurately predict the spatiotemporal evolution of tau pathology can be a game changer in the fight against dementia, which is the main focus of this proposal. Due to the availability of in vitro measurement techniques, a major portion of previous computational methods are confined to in vitro, where high concentrations of free tau in the presence of an anionic aggregation inducer are used to support and accelerate aggregation, while our premier aim is to understand what happens in the brain, where tau monomers and aggregates with various concentrations are inextricably interacted and simultaneously affected by other pathways, such as protein turnover and clearance process, in an inhomogeneous and anisotropic medium. Although several computational models have been developed for in vivo tau pathology, none of them takes into account the simultaneous impacts of directionality and nonlinearity on the transmission of toxic tau species to the best of our knowledge. In addition, Aβ oligomers and tau exacerbate glutamate production and inhibit its recapture. Thus, brain hyperactivation is that it reflects glutamatergic excitotoxicity. As part of our methodology for realistically modeling such complex simultaneous impacts, there is a need to conduct animal experiments including immunohistochemistry with AT8 antibody against toxic tau species induced by injections of tau and Aβ seeds into the mouse brain, two-photon imaging of neuronal and astrocytic activities, and monitoring glutamate release levels. In fact, we aim to construct a comprehensive computational framework, with sufficient complexity, devised based on and validated with experimental data to capture the tauopathy progression, bringing together neuroscientists, biologists, and engineers.