The challenges with the identification of Parkinson’s disease subtypes

Subtyping of PD based on clinical phenotype is rapidly evolving, driven by advances in understanding its pathological mechanisms and clinical heterogeneity. Identifying distinct PD phenotypes is essential to deliver personalized care and optimize clinical trial design, particularly for disease-modifying therapies. Neurotransmitter-based subtyping (cholinergic/noradrenergic/serotonergic) provides a biologically grounded framework that partially overlaps with anatomical models such as the brain-first/body-first distinction. However, validity of such models is also controversial, especially in more advanced stages of PD where many pathways merge. Integrating multimodal data, including clinical/imaging/biomarker/genetic measures, is crucial to improve stratification accuracy and account for comorbidities/copathology. Future progress relies on hypothesis-supervised data-driven approaches, longitudinal validation, and globally inclusive cohorts to achieve robust, biologically informed, and clinically meaningful PD subtyping.

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Publication Details

Journal
Expert Review of Neurotherapeutics
Published
2025-12-31
DOI
https://doi.org/10.1080/14737175.2025.2611250
Primary Topic
Parkinson's Disease Mechanisms and Treatments
Type
article
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The challenges with the identification of Parkinson’s disease subtypes

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Expert Review of Neurotherapeutics
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The challenges with the identification of Parkinson’s disease subtypes

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article en

Abstract

Subtyping of PD based on clinical phenotype is rapidly evolving, driven by advances in understanding its pathological mechanisms and clinical heterogeneity. Identifying distinct PD phenotypes is essential to deliver personalized care and optimize clinical trial design, particularly for disease-modifying therapies. Neurotransmitter-based subtyping (cholinergic/noradrenergic/serotonergic) provides a biologically grounded framework that partially overlaps with anatomical models such as the brain-first/body-first distinction. However, validity of such models is also controversial, especially in more advanced stages of PD where many pathways merge. Integrating multimodal data, including clinical/imaging/biomarker/genetic measures, is crucial to improve stratification accuracy and account for comorbidities/copathology. Future progress relies on hypothesis-supervised data-driven approaches, longitudinal validation, and globally inclusive cohorts to achieve robust, biologically informed, and clinically meaningful PD subtyping.

Expert Review of NeurotherapeuticsVol. 26(2)
Poznan University of Medical Sciences (PL), University of Padua (IT), King's College - North Carolina (US), University of Cologne (DE), Lund University (SE), Transylvania University of Brașov (RO), Centre for Movement Disorders (CA), Institut des Sciences Cognitives Marc Jeannerod (FR), IRCCS San Camillo Hospital (IT), Skåne University Hospital (SE), King's College Hospital (GB), University Hospital Cologne (DE)
Openalex Percentile: Top 30%
Parkinson's Disease Mechanisms and Treatments
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