Department of Neurology, University of Lübeck, Lübeck, Germany.
Institute of Neurogenetics, University of Lübeck, Lübeck, Germany.
Mov Disord. 2022 Jul;37(7):1474-1482. doi: 10.1002/mds.29033. Epub 2022 May 2.
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.
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.
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.
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.
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.
在神经退行性疾病患者中进行早期诊断对于在进行性神经退行性变仍可改变的时间点启动疾病修饰疗法至关重要。
本研究旨在确定疾病的运动或非运动迹象是否作为 X 连锁肌张力障碍-帕金森病(XDP)前驱期的指标,XDP 是一种具有明显基底节病理学的高度外显率的单基因运动障碍。
除了全面的临床评估外,还对未表现出突变的携带者(NMC)、健康对照(HC)和 XDP 患者进行基于传感器的平衡和步态分析。利用梯度提升树(GBT)方法对感兴趣的组进行分类。
NMC 无明显临床疾病表现。然而,平衡分析显示 NMC 与 HC 比较的分类准确率为 90%。对于步态分析,表现最佳的 GBT 基模型显示 95%的平衡准确率(NMC 与 HC;以最大速度行走)。使用遗传修饰物的单独分析,几个步态参数与 NMC 组中疾病发病估计年龄密切相关。
我们的研究揭示了 NMC 中存在平衡和步态异常,这些异常先于 XDP 的发病。这些发现表明,在未来很有可能发展为 XDP 的 NMC 中存在前驱性运动变化。步态异常对估计发病年龄具有预测价值,突出了遗传修饰物在单基因神经退行性疾病个体化治疗中的作用。