Caractérisation de vecteurs ciblant le récepteur de la transferrine : ciblage des cellules endothéliales du cerveau
|Abstract:||The increase in life expectancy leads to a direct expansion of the aging population. This expansion further increases the burden of neurodegenerative diseases. The development of new drugs to treat brain pathologies is greatly hindered by the presence of a physiological barrier, the blood-brain barrier (BBB), protecting the brain homoeostasis. However, a high number of specific transporters are located on endothelial cells forming the BBB and could be the target of brain-drug delivery allowing significant cerebral accumulation of many therapeutic compounds. To study the potential of monoclonal antibodies (mAb) targeting the transferrin receptor (TfR) in the context of a non-invasive gene therapy strategy, we foremost studied the cerebral distribution of the mAb Ri7. We first observed retention in the brain of the mAb. However, fluorescence microscopy analysis revealed that the distribution of Ri7 was confined to cerebral vasculature. Thereafter, by conjugating Ri7 to quantum dots (Qdot), we performed experiments to characterize the subcellular distribution of the mAb. Our transmission electron microscopy analyses showed that Ri7-Qdots were massively internalized within brain capillary endothelial cells (BCECs) and that the TfR-targeted Qdots were in small vesicles, tubular structures and multivesicular bodies. We thus identified BCECs as a potential target for the treatment of endothelial pathology of neurodegenerative diseases. Finally, we investigated the potential of two nanoformulations to delivery nucleic acids to BCECs. Our data demonstrated the capacity of polyionic complex micelles and immunliposomes to deliver a large number of nucleic acids to BCECs. Overall, our study opens the door for a novel therapeutic approach based on brain endothelial cells drug delivery.|
|Document Type:||Thèse de doctorat|
|Open Access Date:||9 July 2018|
|Collection:||Thèses et mémoires|
All documents in CorpusUL are protected by Copyright Act of Canada.