Stratifying deeply phenotyped Parkinson’s patients with blood-based immune signatures

End of project summary

The thesis explores Parkinson's Disease (PD) progression, leveraging detailed patient data to uncover genetic factors and enhance symptom tracking. It connects genetics with dopamine neuron decline, which is crucial for early PD detection and improved management. The work also promotes digital monitoring to transform patient care at home.

Main messages

• Significant Results: Identification of genetic markers linked to neuron loss and the utility of digital biomarkers for early PD detection are key outcomes.
   
• Implications for Service Delivery: Findings advocate earlier PD detection and digital monitoring, potentially revolutionising patient care.
   
• Impact on Public and Society: Advancements in early detection and monitoring could improve patient quality of life and lessen healthcare burdens.
   
• Wider Context: Results add to evidence of genetics' complex role in PD and the value of integrating clinical and digital data.
• Clear Conclusions for the Audience: This research implies more personalised and proactive PD treatment strategies could be on the horizon.
   
• Remaining Questions: Integrating research into clinical practice is the next challenge, with a focus on developing practical applications for early detection and monitoring of PD.

This thesis advances scientific knowledge and suggests practical enhancements for diagnosing and managing Parkinson's Disease, providing direction for future research and patient support.