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基因图谱和症状模式解释了肌张力障碍中脑深部电刺激效果的变异性。

Genetic Profile and Symptom Pattern Explain Variability of Deep Brain Stimulation Effect in Dystonia.

作者信息

Ahmadipour Mahboubeh, Romito Luigi M, Elia Antonio E, Andreasi Nico Golfré, Eleopra Roberto, Mazzoni Alberto, Colucci Fabiana

机构信息

The Biorobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy.

Department of Excellence for Robotics and AI, Scuola Superiore Sant'Anna, Pisa, Italy.

出版信息

Ann Clin Transl Neurol. 2025 Aug;12(8):1660-1669. doi: 10.1002/acn3.70098. Epub 2025 Jun 20.

Abstract

OBJECTIVE

Bilateral globus pallidus pars interna deep brain stimulation (GPi-DBS) is a recognized and effective treatment option for drug-resistant dystonia patients. However, the clinical GPi-DBS outcomes vary significantly. Herein, we explored the pre-implant factors affecting GPi-DBS effectiveness.

METHODS

Genetic profiles, symptom distribution, age at onset, disease duration, and severity of a cohort of 31 GPi-DBS dystonia patients were collected. Dystonia motor severity was evaluated before and after GPi-DBS using the Burke-Fahn-Marsden Dystonia-Rating-Scale (BFMDRS-M). We assessed the interplay of the aforementioned factors in determining the BFMDRS-M improvement through a multilinear regression analysis.

RESULTS

BFMDRS-M score showed a significant improvement (47.8%) since the first year, remaining stable at 5 years (54.3%). Lower limb (0.20), upper limb (0.16) and trunk (0.24) symptoms showed a significantly larger improvement compared to cranial symptoms (0.07, p < 0.05). Consequently, patients with more pronounced lower limb motor symptoms displayed a greater GPi-DBS effect (p < 0.01). However, pre-treatment localization of motor symptoms accounted only for 31% of the Inter-Patient Variability (IPV) in post-GPi-DBS improvement. Amelioration varied also across genetic profiles, with the largest improvement reported for DYT-TOR1A patients (n = 9, 64.2% in the first year), predicting 36% of IPV. Interestingly, combining motor and genetic profiles predicted 73% of the IPV. Including the clinical profile of the patient (age at onset, disease severity and duration) increased prediction accuracy to 81%.

INTERPRETATION

Our results suggest that motor and genetic profiles contribute independently to the efficacy of the GPi-DBS treatment. These results may support a personalized prediction of DBS outcomes in dystonia patients.

摘要

目的

双侧苍白球内侧部脑深部电刺激术(GPi-DBS)是治疗耐药性肌张力障碍患者的一种公认且有效的治疗方法。然而,临床GPi-DBS的治疗效果差异显著。在此,我们探讨了影响GPi-DBS疗效的植入前因素。

方法

收集了31例接受GPi-DBS治疗的肌张力障碍患者的基因谱、症状分布、发病年龄、病程及严重程度。使用伯克-法恩-马斯登肌张力障碍评定量表(BFMDRS-M)在GPi-DBS术前和术后评估肌张力障碍运动严重程度。我们通过多线性回归分析评估上述因素在决定BFMDRS-M改善情况中的相互作用。

结果

自第一年起,BFMDRS-M评分有显著改善(47.8%),在5年时保持稳定(54.3%)。与头颅症状(0.07,p<0.05)相比,下肢(0.20)、上肢(0.16)和躯干(0.24)症状改善更为显著。因此,下肢运动症状更明显的患者显示出更大的GPi-DBS效果(p<0.01)。然而,运动症状的治疗前定位仅占GPi-DBS术后改善患者间变异性(IPV)的31%。改善情况在不同基因谱中也有所不同,DYT-TOR1A患者改善最大(n=9,第一年为64.2%),预测IPV的36%。有趣的是,结合运动和基因谱可预测73%的IPV。纳入患者的临床特征(发病年龄、疾病严重程度和病程)可将预测准确率提高到81%。

解读

我们的结果表明,运动和基因谱对GPi-DBS治疗效果有独立贡献。这些结果可能支持对肌张力障碍患者DBS治疗效果进行个性化预测。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c5b/12343328/00ba3c304ec2/ACN3-12-1660-g003.jpg

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