The Oxford Parkinson's Disease Centre (OPDC) is a unique multidisciplinary research program at the University of Oxford. The OPDC was established in February 2010 and brings together internationally-renowned scientists who work on the genetics of Parkinson’s, the generation of cell and animal models, and the wiring of brain circuits which control movement, with clinical experts in the diagnosis and treatment of Parkinson’s.
Our world-class research centre works to understand the earliest events in the development of Parkinson’s with an ultimate view to target the molecular mechanisms of disease with neuroprotective therapies to prevent disease onset or delay progression.
Our program is focused on the molecular pathways to Parkinson’s in order to:
- Understand the progression of Parkinson’s
- Predict the onset of Parkinson’s
- Identify potential drug targets for Parkinson’s
- Develop new treatments that will prevent the development of Parkinson’s in at-risk individuals.
Watch the video below to learn more about OPDC's research:
Wednesday, 06 December 2023, 4pm to 5pm
Tuesday, 09 January 2024, 2pm to 3pm
Investigating gait-responsive somatosensory cueing from a wearable device to improve walking in Parkinson's disease.
Li D. et al, (2023), Biomed Eng Online, 22
Multi-modal proteomic characterization of lysosomal function and proteostasis in progranulin-deficient neurons.
Hasan S. et al, (2023), Mol Neurodegener, 18
Axo-glial interactions between midbrain dopamine neurons and oligodendrocyte lineage cells in the anterior corpus callosum.
Caldwell M. et al, (2023), Brain Struct Funct, 228, 1993 - 2006
C9orf72-ALS human iPSC microglia are pro-inflammatory and toxic to co-cultured motor neurons via MMP9.
Vahsen BF. et al, (2023), Nat Commun, 14
Patient-derived iPSC models of Friedreich ataxia: a new frontier for understanding disease mechanisms and therapeutic application
Maheshwari S. et al, (2023), Translational Neurodegeneration, 12
Mitochondrial dysfunction and mitophagy defects in LRRK2-R1441C Parkinson's disease models.
Williamson MG. et al, (2023), Hum Mol Genet, 32, 2808 - 2821