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Prodromal Parkinson's Disease: Hype or Hope for Disease-modification Trials?

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Publisher Biomed Central
Date 2022 Feb 21
PMID 35184752
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Abstract

The ultimate goal in Parkinson's disease (PD) research remains the identification of treatments that are capable of slowing or even halting the progression of the disease. The failure of numerous past disease-modification trials in PD has been attributed to a variety of factors related not only to choosing wrong interventions, but also to using inadequate trial designs and target populations. In patients with clinically established PD, neuronal pathology may already have advanced too far to be modified by any intervention. Based on such reasoning, individuals in yet prediagnostic or prodromal disease stages, may provide a window of opportunity to test disease-modifying strategies. There is now sufficient evidence from prospective studies to define diagnostic criteria for prodromal PD and several approaches have been studied in observational cohorts. These include the use of PD-risk algorithms derived from multiple established risk factors for disease as well as follow-up of cohorts with single defined prodromal markers like hyposmia, rapid eye movement sleep behavior disorders, or PD gene carriers. In this review, we discuss recruitment strategies for disease-modification trials in various prodromal PD cohorts, as well as potential trial designs, required trial durations, and estimated sample sizes. We offer a concluding outlook on how the goal of implementing disease-modification trials in prodromal cohorts might be achieved in the future.

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References
1.
Manne S, Kondru N, Jin H, Serrano G, Anantharam V, Kanthasamy A . Blinded RT-QuIC Analysis of α-Synuclein Biomarker in Skin Tissue From Parkinson's Disease Patients. Mov Disord. 2020; 35(12):2230-2239. PMC: 7749035. DOI: 10.1002/mds.28242. View

2.
Liepelt-Scarfone I, Brandle B, Yilmaz R, Gauss K, Schaeffer E, Timmers M . Progression of prodromal motor and non-motor symptoms in the premotor phase study - 2-year follow-up data. Eur J Neurol. 2017; 24(11):1369-1374. DOI: 10.1111/ene.13397. View

3.
Stefani A, Iranzo A, Holzknecht E, Perra D, Bongianni M, Gaig C . Alpha-synuclein seeds in olfactory mucosa of patients with isolated REM sleep behaviour disorder. Brain. 2021; 144(4):1118-1126. DOI: 10.1093/brain/awab005. View

4.
Poewe W, Mahlknecht P . The clinical progression of Parkinson's disease. Parkinsonism Relat Disord. 2010; 15 Suppl 4:S28-32. DOI: 10.1016/S1353-8020(09)70831-4. View

5.
Postuma R, Lang A, Gagnon J, Pelletier A, Montplaisir J . How does parkinsonism start? Prodromal parkinsonism motor changes in idiopathic REM sleep behaviour disorder. Brain. 2012; 135(Pt 6):1860-70. DOI: 10.1093/brain/aws093. View