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Financement de l’UE (1 437 500 €) : Modèles computationnels basés sur un réseau de la progression de la protéine tau dans la maladie d’Alzheimer Hor17/10/2025 Programme de recherche et d'innovation de l'UE « Horizon »
Vue d’ensemble
Texte
Modèles computationnels basés sur un réseau de la progression de la protéine tau dans la maladie d’Alzheimer
The aging of the human population has catapulted Alzheimer's disease (AD) from a growing global challenge to an urgent socioeconomic concern. The hallmark of AD is the misfolding and aggregation of proteins β-amyloid (Aβ) and tau in the brain, which can be imaged in living humans using positron emission tomography (PET). Recent clinical trials targeting Aβ have shown promising but modest clinical effects, leading to a shift in focus towards tau due to its closer association with neurodegeneration and cognitive decline. However, tau accumulation is spatially and temporally complex and varies across individuals, complicating its study and therapeutic monitoring. This proposal addresses the need for agile research to enhance our biological understanding of AD while building tools that can aid clinical trials and patient management. I aim to construct TAU-TIME, a computational biology model of tau progression that integrates mechanistic knowledge and individualized data. TAU-TIME will simulate tau accumulation at the individual level and will facilitate testing of biological hypotheses in the context of human AD, where experimental manipulation is challenging. It will also serve as a predictive tool for patient-tailored monitoring, symptom prediction, and enhancing clinical trial power. The proposal encompasses three objectives: 1) optimizing TAU-TIME through integration of spatially-resolved mesoscale human molecular data, 2) leverage individual biological variation at baseline toward patient-tailored models, and 3) benchmark TAU-TIME models on longitudinal tau-PET and cognitive data in a clinical context. These objectives will be achieved through exclusive access to existing data from 2000 patients with extensive neuroimaging and cognitive data, cerebrospinal proteomics, and longitudinal tau-PET measurements over four years. Through these objectives, I aim to enhance understanding of tau pathophysiology, investigate the factors contributing to tau accumulation, and de
| Lunds Universitet | 1 437 500 € |
https://cordis.europa.eu/project/id/101221737
Cette annonce se réfère à une date antérieure et ne reflète pas nécessairement l’état actuel. L’état actuel est présenté à la page suivante : Lunds universitet Statliga enheter, Lund, Suède.