Neuroenergetic Changes in Patients with X-Linked Dystonia-Parkinsonism and Female Carriers
Movement Disorders Clinical Practice(2024)
Univ Med Ctr Schleswig Holstein | Univ Lubeck | Univ Santo Tomas | Makati Med Ctr
Abstract
BackgroundX-linked dystonia-parkinsonism (XDP) is a rare movement disorder characterized by profound neurodegeneration in the basal ganglia. The molecular consequences and the bioenergetic state of affected individuals remain largely unexplored.ObjectivesTo investigate the bioenergetic state in male patients with XDP and female carriers using 31phosphorus magnetic resonance spectroscopy imaging and to correlate these findings with clinical manifestations.MethodsWe examined the levels of high-energy phosphorus-containing metabolites (HEP) in the basal ganglia and cerebellum of five male patients with XDP, 10 asymptomatic female heterozygous carriers, and 10 SVA-insertion-free controls.ResultsHEP levels were reduced in the basal ganglia of patients with XDP (PwXDP) compared to controls, but increased in the cerebellum of both male patients and female carriers.ConclusionsOur findings suggest a potential compensatory mechanism in the cerebellum of female carriers regardless of sex. Our study highlights alterations in HEP levels in PwXDP patients and female carriers.
MoreTranslated text
Key words
31-phosphorus magnetic resonance spectroscopy imaging (31P-MRSI),neuroimaging,TAF1,X-linked dystonia-parkinsonism (XDP)
求助PDF
上传PDF
View via Publisher
AI Read Science
AI Summary
AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.
Example
Background
Key content
Introduction
Methods
Results
Related work
Fund
Key content
- Pretraining has recently greatly promoted the development of natural language processing (NLP)
- We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
- We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
- The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
- Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance
Upload PDF to Generate Summary
Must-Reading Tree
Example

Generate MRT to find the research sequence of this paper
Related Papers
2007
被引用234 | 浏览
2008
被引用65 | 浏览
Association of Pallidal Neurostimulation and Outcome Predictors with X-linked Dystonia Parkinsonism.
2018
被引用30 | 浏览
2020
被引用13 | 浏览
2020
被引用148 | 浏览
2021
被引用66 | 浏览
2021
被引用28 | 浏览
2022
被引用7 | 浏览
2023
被引用8 | 浏览
2022
被引用6 | 浏览
2022
被引用4 | 浏览
2022
被引用10 | 浏览
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn
Chat Paper