Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Accepted for/Published in: JMIR Formative Research

Date Submitted: Mar 21, 2023
Date Accepted: Sep 5, 2023

The final, peer-reviewed published version of this preprint can be found here:

Toward Personalized Medicine Approaches for Parkinson Disease Using Digital Technologies

Jones G, Khanna A

Toward Personalized Medicine Approaches for Parkinson Disease Using Digital Technologies

JMIR Form Res 2023;7:e47486

DOI: 10.2196/47486

PMID: 37756050

PMCID: 10568402

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

Towards Personalized Medicine Approaches for Parkinson’s Disease using Digital Technologies

  • Graham Jones; 
  • Amit Khanna

ABSTRACT

Parkinson’s disease (PD) is a complex neurodegenerative disorder that afflicts >10M people worldwide resulting in debilitating motor and cognitive impairment. In the USA alone (with approx. 1M cases) the economic burden for treating and caring for persons with PD exceeds $50B and myriad therapeutic approaches are under development including both symptomatic and disease modifying agents. The challenges presented in addressing PD are compounded by observations that numerous, statistically distinct patient phenotypes present, with a wide variety of motor and non-motor symptomatic profiles, varying response to current standard of care symptom alleviating medications (D-DOPA and dopaminergic agonists) and different disease trajectories. The existence of these differing phenotypes highlights the opportunities in personalized approaches to symptom management and disease control. The pro-dromal period of PD can span across several decades, allowing the potential to leverage the unique tapestry of composite symptoms presented to trigger early interventions. This may be especially beneficial as disease progression in PD (alongside AD and HD) may be influenced by biological processes such as oxidative stress, offering the potential for individual lifestyle factors to be tailored to delay onset of disease. In this manuscript we offer potential scenarios where emerging diagnostic and monitoring strategies might be tailored to the individual patient under the tenets of P4 medicine. These approaches may be especially relevant as the causative factors and biochemical pathways which are responsible for observed neurodegeneration in PD patients remains a fluid debate. The numerous observational patient cohorts established globally offer an excellent and unprecedented opportunity to test and refine approaches to detect, characterize, control, modify the course and ultimately stop progression of this debilitating disease. Such approaches may also help development of parallel interventive strategies in diseases such as Alzheimer’s and Huntington’s, who share common traits and etiologies with PD. In this overview we highlight near term opportunities to apply P4 medicine principles for PD patients and introduce the concept of the composite orthogonal patient monitoring.


 Citation

Please cite as:

Jones G, Khanna A

Toward Personalized Medicine Approaches for Parkinson Disease Using Digital Technologies

JMIR Form Res 2023;7:e47486

DOI: 10.2196/47486

PMID: 37756050

PMCID: 10568402

Download PDF


Request queued. Please wait while the file is being generated. It may take some time.

© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.