Background: Early diagnosis in patients with neurodegenerative disorders is crucial to initiate disease-modifying therapies at a time point where progressive neurodegeneration can still be modified.
Objectives: The objective of this study was to determine whether motor or non-motor signs of the disease occur as indicators of a prodromal phase of X-linked dystonia-parkinsonism (XDP), a highly-penetrant monogenic movement disorder with striking basal ganglia pathology.
Methods: In addition to a comprehensive clinical assessment, sensor-based balance and gait analyses were performed in non-manifesting mutation carriers (NMCs), healthy controls (HCs), and patients with XDP. Gradient-boosted trees (GBT) methodology was utilized to classify groups of interest.
Results: There were no clinically overt disease manifestations in the NMCs. Balance analysis, however, revealed a classification accuracy of 90% for the comparison of NMC versus HC. For the gait analysis, the best-performing GBT-based model showed a balanced accuracy of 95% (NMC vs. HC; walking at maximum speed). Using a separate analysis of genetic modifiers, several gait parameters correlated strongly with the estimated age at disease onset in the NMC group.
Conclusions: Our study unraveled balance and gait abnormalities in NMCs that preceded the onset of XDP. These findings demonstrate prodromal motor changes among NMCs who will develop XDP with a very high likelihood in the future. Gait abnormalities had a predictive value for the estimated age at onset highlighting the impact of genetic modifiers in personalized treatment in monogenic neurodegenerative disorders. © 2022 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
Keywords: X-linked dystonia-parkinsonism (XDP); balance analysis; gait analysis; presymptomatic phase; wearable sensors.
© 2022 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.