Impact of Various Qigong and Tai Chi Exercises on Motor Function, Depression, and Quality of Life in Parkinson's Disease Patients: A Network Meta-Analysis

Research Square (Research Square), Год журнала: 2025, Номер unknown

Опубликована: Янв. 20, 2025

Fitness Qigong and Tai Chi, as forms of exercise therapy, are suitable for Parkinson's disease (PD) patients who mainly middle-aged elderly, their effectiveness has been proven by an increasing number studies. However, there is a serious issue in some previous studies, which the misconception considering Chi specific form exercise. In fact, not single exercise, but rather general term category exercises. Since fitness effects different types exactly same, it necessary to conduct more classification then perform network Meta-analysis explore on treating symptoms PD. By comprehensively collecting organizing literature from English Chinese databases such Pubmed, Embase, Cochrane Library, Web Science, CNKI, Wan Fang, with search cut-off date being November 22, 2024, extracting data finally included randomized controlled trials. According Risk Bias Assessment Tool Handbook, methodological quality bias risk were evaluated using RevMan 5.4 software, finally, Stata 18.0 software was used Meta-analysis. During analysis, subgroup analyses conducted based intervention types, periods, Hoehn-Yahr stages, patient courses sources heterogeneity. The 35 studies this article involved 4 exercises exercises, total 1,763 mild moderate disease. results showed that compared conventional treatment disease, 24-Form (24-FTJQ) best plan improving UPDRS Ⅲ scores Berg Balance Scale (BBS) scores; 42-Form (ATJQ) Gait Velocity; Wu Qin Xi (WQX) Timed Up Go Test (TUGT) Ba Duan Jin (BDJ) Depression Yi Jing (YJJ) PDQ-39 scores. Therefore, clinical practice, plans can be formulated according main patients, reducing period.

Язык: Английский

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Dermatological Manifestations and Sebum Composition in Parkinson’s Disease

Dermatology Practical & Conceptual, Год журнала: 2025, Номер 15(1), С. 4921 - 4921

Опубликована: Янв. 29, 2025

Introduction Parkinson disease (PD) is a multifaceted neurodegenerative disorder known for its hallmark motor symptoms. However, nonmotor manifestations, specifically dermatological changes, precede symptoms and may thus serve as vital early indicators of PD. Objectives This article explores the skin-related changes associated with PD, focusing on alterations in sebum composition, microbial dysbiosis, potential leveraging assessments early, noninvasive diagnostic markers Methods A comprehensive literature review was conducted to investigate manifestations affected individuals. Research explored clinical relevance altered lipid profiles, volatile organic compound (VOC) contributions, microbiome dysbiosis those Results Individuals PD exhibit excess production characterized by including elevated short-chain fatty acids (SCFAs) disruptions sphingolipid metabolism. The lipid-rich environment also promotes overgrowth Malessezia yeast, contributing varied VOCs identified have been linked unique odors biomarkers potential. These findings support diagnosis through dermatologic assessment analysis. Conclusion Dermatological offer promising diagnosis. Future research should aim further elucidate mechanisms underlying dysregulation validate these larger populations.

Язык: Английский

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Nanotechnology in Parkinson’s Disease: overcoming drug delivery challenges and enhancing therapeutic outcomes

Drug Delivery and Translational Research, Год журнала: 2025, Номер unknown

Опубликована: Янв. 29, 2025

Язык: Английский

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Exploring glycolytic enzymes in disease: potential biomarkers and therapeutic targets in neurodegeneration, cancer and parasitic infections

Open Biology, Год журнала: 2025, Номер 15(2)

Опубликована: Фев. 1, 2025

Glycolysis, present in most organisms, is evolutionarily one of the oldest metabolic pathways. It has great relevance at a physiological level because it responsible for generating ATP cell through conversion glucose into pyruvate and reducing nicotinamide adenine dinucleotide (NADH) (that may be fed electron chain mitochondria to produce additional by oxidative phosphorylation), as well producing intermediates that can serve substrates other processes. Glycolysis takes place 10 consecutive chemical reactions, each which catalysed specific enzyme. Although energy transduction metabolism main function this pathway, involvement virulence, growth, pathogen–host interactions, immunomodulation adaptation environmental conditions are functions attributed pathway. In humans, where glycolysis occurs mainly cytosol, mislocalization some glycolytic enzymes various subcellular locations, alterations their expression regulation, been associated with development progression diseases. review, we describe role pathogenesis diseases clinical interest. addition, potential these targets drug use diagnostic prognostic markers pathologies also discussed.

Язык: Английский

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Deep Learning-Based Diagnostic Model for Parkinson's Disease Using Handwritten Spiral and Wave Images

Current Medical Science, Год журнала: 2025, Номер unknown

Опубликована: Март 3, 2025

Язык: Английский

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Ameliorative Role of Naringenin in MPTP- Induced Parkinsonism: Insights from Drosophila melanogaster Experimental Model Combined with Computational Biology

Toxicology Reports, Год журнала: 2025, Номер 14, С. 102004 - 102004

Опубликована: Март 21, 2025

This study probed the ameliorative effects of naringenin in a D. melanogaster model 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP)-induced parkinsonism, incorporating computational analysis. Initially, flies were treated with (100-500 µM) and MPTP (250-750 for 14 days two separate studies to determine optimum concentrations treatments. Following this, (100 300 administered (500 µM)-exposed 4-day study. Motor function, survival rate, neurotoxicity biomarkers assessed alongside biological network analysis molecular docking simulation. Results indicate that exhibits hormetic behavior, 100-300 µM providing optimal neuroprotection. The treatments significantly improved negative geotaxis acetylcholinesterase activity, reduced MPTP-induced oxidative stress as indicated by nitric oxide, hydrogen peroxide, protein carbonyl levels. Furthermore, restored thiol contents, enhanced catalase glutathione-S-transferase activities. Network helped identify key targets, including DRD4, DRD2, NFKB1, MAOB, MAPK14, CYP2A6, which function dopaminergic signaling oxido-inflammatory pathways. Molecular revealed strong binding interactions MAO, MAPK, NF-κB primarily through bonding hydrophobic interactions. Overall, these findings suggest mitigates enhancing neurotransmission suppressing inflammation. further supports neuroprotective potential could be suggested promising nutraceutical/drug candidate Parkinson's disease.

Язык: Английский

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Predictive Analysis of Parkinson's Disease Using Machine Learning

The Open Bioinformatics Journal, Год журнала: 2025, Номер 18(1)

Опубликована: Март 27, 2025

Background Parkinson's disease is one of the major nerve disorders that affect physical movement, which leads to tremors in individuals above 50 years age. The affected individual will face walking and speech difficulties. According Parkinson Foundation, about 0.3% human population across globe. WHO reported Parkinson’s affects a large 10 million people worldwide. Patients left untreated with timely medication lead fatal neurological functional disorders. Due environmental changes, food habits, lifestyle, number by this gradually increasing. Aim This study aimed predict using signals applying various AI techniques identify research gaps improve treatment efficiency respect detection rate cost. Objective objective was efficiently shallow learning algorithms, such as Support Vector Machine, XGBoost, Multilayer Perceptron Deep Neural Networks algorithms under limited patient data aid efficient feature selection like Principal Component Analysis (PCA) Variance (ANOVA) for selecting most distinguishing features. Methods dataset containing samples obtained from UCI repository, included 188 individuals. preprocessing involved application Synthetic Minority Oversampling Technique (SMOTE), comparative PCA ANOVA carried out select optimal Then, SVM, DNN were employed. Result When used dimensionality reduction, XGBoost demonstrated higher accuracy, but SVM exhibited lower runtime. On other hand, when applied all three showed good proving more smaller Conclusion All combined both reduction techniques, an average accuracy 97%. In comparison, technique led shorter training times compared PCA. However, resulted comparatively fewer features trade-off between times. Therefore, increase decision-making improved detection, there need explore multimodal multi-objective approaches.

Язык: Английский

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Role and mechanism of herbal bioactives in treatment of Parkinson disease: A promising therapeutic approach

South African Journal of Botany, Год журнала: 2025, Номер 181, С. 315 - 338

Опубликована: Апрель 25, 2025

Язык: Английский

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Exploring Tau-C, Tau-A, and C1M as biomarkers for Parkinson’s disease

Frontiers in Neurology, Год журнала: 2025, Номер 16

Опубликована: Апрель 30, 2025

Tau has shown to be associated with neurodegenerative diseases. In this exploratory study, we investigated the utility of blood-based biomarkers measuring Tau-C, Tau-A, and C1M in Parkinson's disease (PD) explore their potential as diagnostic two independent cohorts (TAU-C TAU-A). We found them discriminate between healthy donors PD individuals (all p < 0.001), Tau-C showing best discrepancy (AUROC = 0.97). Therefore, may for diagnosis.

Язык: Английский

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Metabolomics in Parkinson’s disease biomarker discovery and drug evaluation study

BIO Web of Conferences, Год журнала: 2025, Номер 174, С. 03005 - 03005

Опубликована: Янв. 1, 2025

Metabolomics, as a tool for systematically studying metabolites in biological systems, has become key approach exploring the pathogenesis of Parkinson’s disease (PD) and evaluating drug efficacy. This article, based on latest metabolomics research, discusses discovery process PD biomarkers, analysis related metabolic pathways, strategies By analyzing differences between healthy groups, several biomarkers were identified, their potential diagnosis treatment was explored. Additionally, combination with organ-on-chip technology provides new avenue safety evaluation. study offers important theoretical insights early

Язык: Английский

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