Clinical Subtyping and Progression of Parkinson's Disease

Parkinson’s disease exhibits profound clinical heterogeneity, with patients displaying diverse combinations of motor symptoms—such as tremor, rigidity and bradykinesia—and non-motor features including cognitive impairment, sleep dysfunction and autonomic disturbances. Clinical subtyping aims to categorise individuals into coherent groups—tremor-dominant, postural instability and gait difficulty, and mixed phenotypes—with distinct trajectories of functional decline. Traditional motor-based classifications have been enriched by integrating fluid, imaging and genetic biomarkers, yielding dynamic models of disease progression. Advances in machine-learning and data-driven methodologies have uncovered novel subtype-specific pathways, informing precision medicine strategies. Longitudinal cohort studies emphasise that progression rates in motor impairment, cognitive decline and biomarker evolution differ markedly between subtypes, underscoring the need for adaptable classification frameworks to guide therapeutic interventions and clinical trial design.

Research from Nature Portfolio

One study applied a deep-learning algorithm to longitudinal clinical assessments, biospecimen measures and neuroimaging data, identifying three subtypes distinguished by baseline severity and subsequent progression rates in motor and non-motor domains. This approach demonstrated that initial clinical burden does not uniformly predict future decline and highlighted a subgroup with rapid deterioration across multiple functional spheres. Another investigation compared tremor-dominant and postural instability and gait difficulty phenotypes, revealing that the latter is associated with greater cognitive impairment and distinct cerebrospinal fluid profiles of amyloid and tau proteins. These findings link motor phenotype to underlying neurodegenerative mechanisms and suggest targeted biomarker-guided interventions.

Clinical Subtyping and Progression of Parkinson's Disease publication trend

The graph below shows the total number of articles in clinical subtyping and progression of parkinson's disease across all publications each year (not limited to Nature Index journals).

Technical terms

Clinical subtype: A patient group defined by characteristic combinations of motor and non-motor features that inform prognosis and treatment strategy.

Tremor-dominant (TD): A subtype in which tremor is the predominant motor manifestation, often associated with slower progression of other symptoms.

Postural instability and gait difficulty (PIGD): A subtype characterised by balance impairment and gait disturbance, frequently linked to a faster overall decline.

Biomarker: A measurable biological indicator—such as a protein level or imaging finding—used for diagnosis, staging or monitoring of disease.

Deep learning: A subset of machine-learning employing layered neural networks to model complex relationships in high-dimensional data.

Subtype and Stage Inference (SuStaIn): A computational method that identifies distinct disease trajectories by integrating multimodal clinical and neuroimaging variables.

References

1. Subtyping of Parkinson’s Disease - Where Are We Up To?. Aging and Disease (2019).
2. Two distinct trajectories of clinical and neurodegeneration events in Parkinson’s disease. npj Parkinson's Disease (2023).
3. The STRAT-PARK cohort: A personalized initiative to stratify Parkinson’s disease. Progress in Neurobiology (2024).
4. Phenotype of postural instability/gait difficulty in Parkinson disease: relevance to cognitive impairment and mechanism relating pathological proteins and neurotransmitters. Scientific Reports (2017).