Different phenotypy in three siblings with homocystinuria.

Neurologist

Haydarpasa Numune Educational and Research Hospital, Neurology, Movement Disorders Department, Kadikoy, Istanbul, Turkey.

Published: May 2009

Introduction: Movement disorders associated with homocystinuria have been reported as rare cases. Their physiopathology has not yet been clarified.

Methods: Three siblings in the same family have been described, all with homocystinuria but possessing phenotypic differences.

Result: The first case presented oromandibular dyskinesia, spasmodic dysphonia, tremor, bradykinesia, and generalized dystonia along with the classic findings of homocystinuria. The second case had marfanoid features and ophthalmic complications of homocystinuria, and also evidence of mild rigidity of which the patient did not complain. The third case had only marfanoid features. The most severely affected family member was the first case who also had increased thyroid peroxidase antibodies, antithyroglobulin antibodies, and thyroiditis.

Conclusion: The most severely affected sibling presented movement disorders and evidence of autoimmune thyroiditis. These findings have led us to think that research on the relations between movement disorders, basal ganglia, immunity, autoimmune thyroid diseases, and homocysteine should be continued.

Download full-text PDF

Source
http://dx.doi.org/10.1097/NRL.0b013e318184a4c4DOI Listing

Publication Analysis

Top Keywords

movement disorders
12
three siblings
8
case marfanoid
8
marfanoid features
8
homocystinuria
5
phenotypy three
4
siblings homocystinuria
4
homocystinuria introduction
4
introduction movement
4
disorders associated
4

Similar Publications

Real-Time Freezing of Gait Prediction and Detection in Parkinson's Disease.

Sensors (Basel)

December 2024

School of Human Kinetics, Faculty of Health Sciences, University of Ottawa, Ottawa, ON K1N 6N5, Canada.

Freezing of gait (FOG) is a walking disturbance that can lead to postural instability, falling, and decreased mobility in people with Parkinson's disease. This research used machine learning to predict and detect FOG episodes from plantar-pressure data and compared the performance of decision tree ensemble classifiers when trained on three different datasets. Dataset 1 ( = 11) was collected in a previous study.

View Article and Find Full Text PDF

Safety of Immersive Virtual Reality for the Management of Parkinson's Disease.

Sensors (Basel)

December 2024

Centro de Estudos Egas Moniz, Faculdade de Medicina, Universidade de Lisboa, 1649-028 Lisbon, Portugal.

Virtual reality (VR) has been used in research and clinical practice in the management of Parkinson's disease (PD), potentially enhancing physiotherapy. Adverse events (AEs) associated with VR applications in PD have been poorly explored. We conducted a randomized controlled trial to compare two 12-week interventions using physiotherapy and immersive VR, and analyzed the frequency and type of AEs occurring in 30 people with PD.

View Article and Find Full Text PDF

Machine Learning Recognizes Stages of Parkinson's Disease Using Magnetic Resonance Imaging.

Sensors (Basel)

December 2024

Faculty of Computer Science, Polish-Japanese Academy of Information Technology, 86 Koszykowa Street, 02-008 Warsaw, Poland.

Neurodegenerative diseases (NDs), such as Alzheimer's disease (AD) and Parkinson's disease (PD), are debilitating conditions that affect millions worldwide, and the number of cases is expected to rise significantly in the coming years. Because early detection is crucial for effective intervention strategies, this study investigates whether the structural analysis of selected brain regions, including volumes and their spatial relationships obtained from regular T1-weighted MRI scans ( = 168, PPMI database), can model stages of PD using standard machine learning (ML) techniques. Thus, diverse ML models, including Logistic Regression, Random Forest, Support Vector Classifier, and Rough Sets, were trained and evaluated.

View Article and Find Full Text PDF

Mobility tasks like the Timed Up and Go test (TUG), cognitive TUG (cogTUG), and walking with turns provide insights into the impact of Parkinson's disease (PD) on motor control, balance, and cognitive function. We assess the test-retest reliability of these tasks in 262 PD participants and 50 controls by evaluating machine learning models based on wearable-sensor-derived measures and statistical metrics. This evaluation examines total duration, subtask duration, and other quantitative measures across two trials.

View Article and Find Full Text PDF

Background: Dietary intake of polyunsaturated fatty acids (PUFA) plays a significant role in the onset and progression of neurodegenerative diseases. Since the neuroprotective effects of n-3 PUFA have been widely validated, the role of n-6 PUFA remains debated, with their underlying mechanisms still not fully understood.

Methods: In this study, 169,295 participants from the UK Biobank were included to analyze the associations between dietary n-6 PUFA intake and neurodegenerative diseases using Cox regression models with full adjustments for potential confounders.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!