The apolipoprotein E (ApoE*) gene is a major risk factor of developing Alzheimer's disease (AD) and the alpha1-antichymotrypsin (ACT) polymorphism is likely to modify susceptibility of the ApoE* gene for AD. Because pathogenesis of AD is partly similar to that in idiopathic Parkinson's disease (PD), we investigated the distribution of genotypes of the ApoE and the ACT in patients with PD. The number of individuals with two copies of the ACT-A allele (ACT-AA genotype) in patients with PD increased significantly compared to that in healthy controls (19.9% versus 8.3%, P < 0.02), and the ACT-A allele frequency in patients with PD was significantly higher than that in healthy controls (chi2 = 5.96, df = 1, P < 0.015). The odds ratio for developing PD in individuals with the ACT-AA genotype was 3.36 compared to individuals with two copies of another allele, the ACT-T allele (ACT-TT genotype). There was no association between ApoE genotypes and susceptibility to PD. These data suggest that the etiological basis of PD might be partly similar to that of AD and the ACT gene might be one of the susceptibility factors for PD.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/s0006-8993(97)00330-2 | DOI Listing |
Publication Analysis
Top Keywords
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 PDFSafety 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 PDFMachine 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 PDFMachine Learning and Statistical Analyses of Sensor Data Reveal Variability Between Repeated Trials in Parkinson's Disease Mobility Assessments.
Sensors (Basel)
December 2024
Center for Bioinformatics and Computational Biology, University of Maryland, College Park, MD 20742, USA.
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 PDFHarnessing the Antibacterial, Anti-Diabetic and Anti-Carcinogenic Properties of Linn (Tulsi).
Plants (Basel)
December 2024
Department of Biotechnology, Yeungnam University, Gyeongsan 38541, Republic of Korea.
Linn ( L.), commonly known as Holy Basil or Tulsi, is a fragrant herbaceous plant belonging to the Lamiaceae family. This plant is widely cultivated and found in north-central parts of India, several Arab countries, West Africa and tropical regions of the Eastern World.
View Article and Find Full Text PDFWant 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!