Objectif
Degenerative diseases of old age, including cardiovascular diseases, type II diabetes, and chronic respiratory conditions, have emerged as the major causes of death in EU countries. Of special concern are neurodegenerative conditions including Alzheimer’s and Parkinson’s, which have been described as the greatest unmet need facing modern medicine. Developing new therapies to slow, halt, or reverse these pathologies is regarded as a key element in addressing this global health priority. No such therapies have been successfully developed to date.
A major unsolved challenge faced by drug discovery organisations is that for most degenerative conditions, there are no prognostic markers that can be used to predict whether a candidate therapy is likely to improve clinical outcome.
Our solution to this problem exploits the fact that the pathogenesis and progression of all degenerative diseases is associated with oxidative stress. Oxidative stress thus makes an excellent potential prognostic biomarker, but it has been difficult to measure in vivo. Now, under the REDOX ERC Advanced Investigator Award, we have developed a portfolio of next-generation mouse models in which oxidative stress can be monitored at single-cell resolution across all organs. Moreover, the measurements can also be performed non-invasively and in real-time. We believe that these mice provides a new platform with unprecedented utility that can be used by drug-discovery organisations to accelerate, reduce the costs, and increase the predictive power of their pre-clinical pipelines for degenerative conditions. To support commercial exploitation of these models, we will:
a) Show that our oxidative stress biomarkers are elevated in mouse models for two degenerative conditions, Alzheimer’s and Hutchinson-Gilford Progeria Syndrome.
b) Demonstrate that the biomarker signals are reduced in mice administered therapies believed to be disease-modifying.
Champ scientifique (EuroSciVoc)
CORDIS classe les projets avec EuroSciVoc, une taxonomie multilingue des domaines scientifiques, grâce à un processus semi-automatique basé sur des techniques TLN. Voir: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classe les projets avec EuroSciVoc, une taxonomie multilingue des domaines scientifiques, grâce à un processus semi-automatique basé sur des techniques TLN. Voir: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- sciences médicales et de la santémédecine fondamentalepharmacologie et pharmaciedécouverte de médicaments
- sciences médicales et de la santémédecine fondamentaleneurologiedémencealzheimer
- sciences médicales et de la santémédecine cliniqueendocrinologiediabète
- sciences médicales et de la santémédecine cliniquecardiologiemaladies cardiovasculaires
- sciences médicales et de la santémédecine fondamentaleneurologieparkinson
Vous devez vous identifier ou vous inscrire pour utiliser cette fonction
Nous sommes désolés... Une erreur inattendue s’est produite.
Vous devez être authentifié. Votre session a peut-être expiré.
Merci pour votre retour d'information. Vous recevrez bientôt un courriel confirmant la soumission. Si vous avez choisi d'être informé de l'état de la déclaration, vous serez également contacté lorsque celui-ci évoluera.
Programme(s)
Appel à propositions
(s’ouvre dans une nouvelle fenêtre) ERC-2016-PoC
Voir d’autres projets de cet appelRégime de financement
ERC-POC -Institution d’accueil
DD1 4HN Dundee
Royaume-Uni