Pre-PD

Plasma Metabolite Signature Classifies Male LRRK2 Parkinson’s Disease Patients

Parkinson’s disease (PD) is a progressive neurodegenerative disease, causing loss of motor and nonmotor function. Diagnosis is based on clinical symptoms that do not develop until late in the disease progression, at which point the majority of the patients’ dopaminergic neurons are already destroyed. While many PD cases are idiopathic, hereditable genetic risks have been […]

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Heterogeneous digital biomarker integration out-performs patient self-reports in predicting Parkinson’s disease

Parkinson’s disease (PD) is one of the first diseases where digital biomarkers demonstrated excellent performance in differentiating disease from healthy individuals. However, no study has systematically compared and leveraged multiple types of digital biomarkers to predict PD. Particularly, machine learning works on the fine-motor skills of PD are limited. Here, we developed deep learning methods

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Impaired Ocular Tracking and Cortical Atrophy in Idiopathic Rapid Eye Movement Sleep Behavior Disorder

We found ocular-tracking abnormalities in patients with iRBD even early in their disease progression that have not been reported before. These abnormalities are coupled with atrophy of brain areas involved in the perception of object motion and might indicate phenoconversion to synucleinopathies in iRBD. © 2022 International Parkinson and Movement Disorder Society. CLICK TO REVIEW

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Chinese herbal medicine treatment based on subgroup differentiation as adjunct therapy for Parkinson’s disease: study protocol of a pilot add-on, randomised, controlled, pragmatic clinical trial

Background Parkinson’s disease (PD) is a prevalent and debilitating condition. Conventional medications cannot control all symptoms and may inflict adverse effects. A survey reported that Chinese herbal medicine (CHM) is frequently sought. Existing CHM trials were contradictory and often of poor quality due to lack of methodological rigor. A national clinical guideline was drafted in

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Calycosin Alleviates Paraquat-Induced Neurodegeneration by Improving Mitochondrial Functions and Regulating Autophagy in a Drosophila Model of Parkinson’s Disease

first_pagesettingsOpen AccessArticle Calycosin Alleviates Paraquat-Induced Neurodegeneration by Improving Mitochondrial Functions and Regulating Autophagy in a Drosophila Model of Parkinson’s Disease by Hitesh Singh Chaouhan 1,†,Xin Li 1,†,Kuo-Ting Sun 2,3,†,I-Kuan Wang 4,5,Tung-Min Yu 6,7,Shao-Hua Yu 8,Kuen-Bao Chen 9,*,Wei-Yong Lin 10,11,12,* andChi-Yuan Li 1,9,*1Graduate Institute of Biomedical Sciences, China Medical University, Taichung 40402, Taiwan2Department of Pediatric Dentistry, China Medical University Hospital, Taichung 40402, Taiwan3School of Dentistry, China Medical University, Taichung

Calycosin Alleviates Paraquat-Induced Neurodegeneration by Improving Mitochondrial Functions and Regulating Autophagy in a Drosophila Model of Parkinson’s Disease Read More »

Evolution of Prodromal Multiple System Atrophy from REM Sleep Behavior Disorder: A Descriptive Study

Background:Prodromal multiple system atrophy (MSA) has been characterized mainly by retrospective chart reviews. Direct observation and tracking of prodromal markers in MSA have been very limited Objective:To report the baseline characteristics and evolution of prodromal markers of MSA as they were prospectively measured in patients with idiopathic/isolated REM sleep behavior disorder (iRBD) Methods:Patients with iRBD were

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Gut Microbiota and Short Chain Fatty Acids: Implications in
Glucose Homeostasis

: Gut microbiota encompasses a wide variety of commensal microorganisms consisting oftrillions of bacteria, fungi, and viruses. This microbial population coexists in symbiosis with the host,and related metabolites have profound effects on human health. In this respect, gut microbiota playsa pivotal role in the regulation of metabolic, endocrine, and immune functions. Bacterial metabolitesinclude the short

Gut Microbiota and Short Chain Fatty Acids: Implications in
Glucose Homeostasis
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Mining imaging and clinical data with machine learning approaches for the diagnosis and early detection of Parkinson’s disease

Parkinson’s disease (PD) is a common, progressive, and currently incurable neurodegenerative movement disorder. The diagnosis of PD is challenging, especially in the differential diagnosis of parkinsonism and in early PD detection. Due to the advantages of machine learning such as learning complex data patterns and making inferences for individuals, machine-learning techniques have been increasingly applied

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Classifying Idiopathic Rapid Eye Movement Sleep Behavior Disorder, Controls, and Mild Parkinson’s Disease Using Gait Parameters

Gait parameters and a pretrained statistical model can robustly distinguish participants with iRBD from HCs and patients with PD. This could be used to screen subjects with future synucleinopathies in the general population and to identify a conversion threshold to PD. CLICK TO REVIEW

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Is Fasting Good For Your Brain? The Effects of Fasting on the Brain

Fasting promotes autophagy, a vital recycling process, and stimulates the growth factor BDNF. Autophagy is impaired in neurodegenerative conditions such as Alzheimer’s and Parkinson’s. BDNF is crucial for brain health, and low levels are associated with depression. Hence, fasting improves brain health by multiple mechanisms. While fasting has been performed in one form or another

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