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Parkinson Disease

Parkinson's disease is a progressive neurological disorder characterized by tremors, muscle rigidity, and impaired movement.
It is caused by the loss of dopamine-producing brain cells, leading to difficulties with coordination, balance, and overall motor function.
Researchers are actively exploring innovative approaches, such as AI-driven protocol comparisons, to enhance the reproducibility and quality of Parkinson's disease studies.
This can help identify the most effective research methods and accelerate the development of new treatments and therapies for this debilitating condition.
By leveraging the power of AI, scientists can more easily locate and compare research protocols from literature, preprints, and patents, optimizing their studies and improving the consistency of Parkinson's disease research.

Most cited protocols related to «Parkinson Disease»

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Publication 2019
DNA Replication Genome-Wide Association Study Metals Parkinson Disease
A convenience sample of 104 participants (see Table 1 for demographic and clinical characteristics) with idiopathic PD were assessed either as part of participation in an ICD clinical trial or through convenience sampling at the Parkinson’s Disease and Movement Disorders Center at the University of Pennsylvania between January 2010 and April 2011. The Institutional Review Board (IRB) at Penn approved the study, and written consent was obtained from participants prior to study participation. Disease severity was assessed with the Unified Parkinson’s Disease Rating Scale (UPDRS) and Hoehn and Yahr stage,13 and levodopa and dopamine agonist dosages were converted to levodopa equivalent daily dosages (LEDDs).14 (link)
Publication 2011
Dopamine Agonists Ethics Committees, Research Levodopa Movement Disorders Parkinson Disease

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Publication 2011
Alleles Biopharmaceuticals DNA Methylation DNA Replication Gene Expression Genetic Diversity Genome-Wide Association Study Genotype Nucleotides Parkinson Disease Phenotype Quantitative Trait Loci Single Nucleotide Polymorphism

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Publication 2018
Acquired Immunodeficiency Syndrome Age Groups Atrial Fibrillation Cerebrovascular Accident Child Congestive Heart Failure Dementia Diabetes Mellitus Epidemics Garbage Meningitis Obesity Parkinson Disease Pneumonia Thromboembolism Toxoplasmosis Tuberculosis Youth
We calculated LD scores (LD Score (LDSC) version 1.0.0) as previously described using the European 1000 Genomes reference panel (phase 3 version 5a) with a minor allele frequency cutoff for SNP inclusion greater than 5%. GWAS summary statistics data was collected from the following resources: Psychiatric Genomics Consortium (MDD, Bipolar Disorder, SCZ1, SCZ1+SWE, SCZ2), the International Genomics of Alzheimer’s Project (IGAP AD), the International Parkinson Disease Genomics Consortium (IPDGC PD), and the Global Lipids Genetics Consortium (GLGC LDL). GWAS data was harmonized using the munge_sumstats.py function, (using the SNP list derived from LD score calculation) and genomic inflation control intercepts were calculated for the 23andMe MDD data, PGC MDD data, and PGC+23andMe meta-analysis data using the ldsc.py function (using all default settings and options). Additionally, we calculated liability heritability estimates for the meta-analysis using the same function, with a population prevalence estimation of 15%, and 25% as previously described13 (link). Finally, we calculated the cross-trait regression between 23andMe MDD GWAS and the PGC datasets, the IGAP data, the IPDGC data, and the GLGC data.
Publication 2016
Bipolar Disorder Europeans Genome Genome-Wide Association Study Lipids Parkinson Disease

Most recents protocols related to «Parkinson Disease»

We recruited 101 people with stroke (58 male, 43 female) from a local self-help group via poster advertisements. People with stroke were included in the study if they: (1) were 50–80 years old; (2) suffered a single stroke that was confirmed by magnetic resonance imaging or computed tomography at least 1 year before the start of the study; (3) scored 7 or higher in the Chinese version of the Abbreviated Mental Test (27 (link)); (4) could speak Chinese (Cantonese); (5) had volitional control of their non-paretic arm; (6) could induce at least minimal anti-gravity movement in the shoulder of their paretic arm; (7) had at least 5° of wrist extension in the anti-gravity position; and (8) could walk independently for at least 10 m with or without an assistive device. People with chronic stroke were excluded if they: (1) had any other unstable medical conditions (e.g., angina pectoris, pain, or arthritis) or other conditions with medications that may intervene the upper limb function (e.g., Parkinson's disease or Multiple Sclerosis); and (2) had any aphasia or hearing impairment that would affect the data collection procedure.
We recruited 50 healthy older adults (14 male, 36 female) aged 50–80 years with stable health as the control group. People with any comorbid neurological, cardiovascular, or musculoskeletal disease that might affect the assessment were excluded.
The 15-item UEFI has demonstrated excellent test–retest reliability (ICC2, 1 = 0.95) in people with upper extremity musculoskeletal disorders (19 (link)). However, its reliability in people with stroke has not been evaluated. Assuming that an ICC value for assessing test–retest reliability of the 15-item UEFI in people with stroke was 0.9, a sample size of ≥46 subjects was required to achieve 80% power to detect an ICC of 0.9 with a null hypothesis ICC of 0.8 and a significance level of 0.05. To evaluate the ability of the C-UEFI to discern differences between different groups, ≥50 people with chronic stroke and ≥50 healthy controls were required with a CA0 value of 0.3 and CA1 value of 0.7 (28 (link)). A sample of >100 people with chronic stroke were regarded as reasonable based on the exploratory factor analysis (EFA) estimation (29 (link)). Thus, 101 people with stroke were recruited for this study.
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Publication 2023
Angina Pectoris Aphasia Arthritis Cardiovascular System Cerebrovascular Accident Chinese Gravity Hearing Impairment Males Mental Tests Movement Multiple Sclerosis Musculoskeletal Diseases Pain Parkinson Disease Pharmaceutical Preparations Self-Help Devices Shoulder Upper Extremity Woman Wrist X-Ray Computed Tomography
The full UPDRS is a standardized evaluation test for both motor and non-motor deficits of Parkinson's disease (Goetz et al., 2008 (link)) and was utilized in this experiment to assess the baseline of subjects. Since this research mainly focused on the symptom of tremor, a subscale consisting of Part III in UPDRS (UPDRS-III, Motor Examination) was used instead after intervention. The excluded parts were: (Part I) Non-motor Experiences of Daily Living, (Part II) Motor Experiences of Daily Living and (Part IV) Motor Complications, which were less associated with the immediate response of tremor.
FTMTRS is a tool used to evaluate tremor severity in human body (Fahn et al., 1993 ). The full scale was used in the pre-intervention evaluation to assess baseline. A subscale comprising Part A and Part B in FTMTRS was used as a corresponding post-intervention evaluation. We excluded Part C: Functional Disabilities Resulting from Tremor for it had less relevance with the short-term response in tremor.
PPT is a tool for manipulative dexterity evaluation and requires the subject to place the specific small objects as many as possible in the limited time (Tiffin and Asher, 1948 (link)). Since upper limb tremor was one of the factors that affect subject's hand dexterity, we assumed any change in subject's performance in PPT manifested the change in tremor severity. The scale consists of four parts: (1) moving pins with the right hand, (2) moving pins with the left hand, (3) moving pins with both hands and (4) assembling pins, collars and washers with both hands. We followed the standard procedure to implement PPT over subjects. Subjects were instructed to practice the tasks before the evaluation and afterwards underwent a three-trial PPT in both the pre- and post-evaluation.
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Publication 2023
Disabled Persons Fatty Acid Hydroxylase-Associated Neurodegeneration Human Body Parkinson Disease Tremor Tremor, Limb Upper Extremity
The research has been approved by the Chinese Clinical Trial Registry (Registration No.: ChiCTR2100054804) and the local Ethics Committee of Shanghai Jiao Tong University, China (Approved No. of Ethic Committee: 2019 Clinical Trial No. 136). All subjects provided written consent after being informed of the purpose and the procedures of the experiment. The overall experiment was strictly performed in accordance with all relevant guidelines and regulations of the institutional review board and the Declaration of Helsinki. Patients were recruited by the department of neurology of Rui Jin Hospital (Shanghai, China). All of them were out-patients with upper limb tremor resulted from Parkinson's disease (Excluded N = 11; Not meeting the inclusion criteria N = 7; Declined to participate N = 4) (Figure 1).
The inclusion criteria for subjects were: (1) age between 50 and 80 years old, (2) confirmed diagnosis of idiopathic Parkinson's disease according to the MDS clinical diagnostic criteria for PD (Postuma et al., 2015 (link)), (3) symptom of upper limb tremor (rest tremor or postural tremor) resulted from PD, and (4) modified Hoen & Yahr (H&Y) Stage 1 to 3 (Hoehn and Yahr, 1967 (link)). The exclusion criteria included: (1) history of other diseases that may lead to pathological tremor, such as essential tremor (Deuschl et al., 1998 (link)), (2) under the treatment of other neuromodulation therapy, such as DBS, within recent 1 month, (3) history of mental problems, including anxiety, dementia, hallucination or delusion etc., (4) strong reliance on anti-Parkinson medications, or (5) history of cognitive disorder [Mini-mental State Examination (MMSE) score ≤ 16] (Tombaugh and McIntyre, 1992 (link)).
The average disease duration of PD among all subjects [7M/6F, all right-handed, aged 67.5 ± 4.9 (mean ± SD)] were 4.38 ± 1.86 (mean ± SD) years. The Unified Parkinson's Disease Rating Scale (UPDRS) score ranged from 20 to 78 [31.7 ± 15.4 (mean ± SD)] while the modified H&Y stage ranged from 1.0 to 3.0 [1.8 ± 0.8 (mean ± SD)]. The tremor was found to be lateralized in all subjects. Throughout the manuscript, we refer to the more-affected side (MAS) as the side of body exhibiting more severe tremor, which was determined visually by an experienced physician, while the less-affected side (LAS)was defined as the other. Of all subjects, about half (n = 7) were found to be more-affected by tremor on the left side with the other half (n = 6) on the right side. The average levodopa-equivalent daily dose (LEDD) among all subjects was 278.8 ± 203.3 (mean ± SD) mg according to the calculation protocol provided by Tomlinson et al. (2010 (link)). In order to exclude drug effects, all subjects were told to discontinue anti-Parkinson medications on the day of the experiment, which ensured a withdrawal period of more than 12 h. Anti-Parkinson medications were resumed immediately after the experiment session of the day.
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Publication 2023
Anxiety Chinese Cognition Disorders Delusions Dementia Diagnosis Essential Tremor Ethics Committees Ethics Committees, Research Hallucinations Human Body Levodopa Mini Mental State Examination Outpatients Parkinson Disease Patients Pharmaceutical Preparations Physicians Regional Ethics Committees Reliance resin cement Respiratory Diaphragm Resting Tremor Static Tremor Therapeutics Tremor Tremor, Limb Upper Extremity
Subjects were enrolled in the large cohort of Parkinson's Disease and Movement Disorders Multicenter Database and Collaborative Network in China (PD-MDCNC, http://www.pd-mdcnc.com/), as described in a previous study (12 (link)). Patients with PD in this cohort were diagnosed by experienced neurologists according to the UK Parkinson's Disease Scoeity (PDS) Brain Bank Criteria (13 (link)) or Movement Disorder Society Clinical Diagnostic Criteria (14 (link)). Meanwhile, neurological disease-free controls were recruited, with matched ethnicity as a reference. As indicated in our earlier study, we excluded individuals with pathogenic/likely pathogenic mutations of 23 PD pathogenic genes from the EOPD and FPD cohorts. These patients were divided into two separate cohorts, which were named according to the sequencing method as follows: (1 (link)) the whole-exome sequencing (WES) cohort, containing 1,917 familial or sporadic early-onset PD from Mainland China (mean age, 52.22 ± 9.03 years; women, 45.4%) and 1,652 race-matched healthy controls (mean age, 62.03 ± 12.59 years; women, 51.9%), and (2 (link)) the whole-genome sequencing (WGS) cohort, containing 1,962 sporadic late-onset PD from Mainland China (mean age, 66.76 ± 7.078 years; women, 49.8%) and 1,652 race-matched healthy controls (mean age, 62.32 ± 7.109 years; women, 52.1%). The WES cohort consisted of 477 familial PD probands (327 AD probands and 150 AR probands) and 1,440 patients with early-onset PD (age of onset was not more than 50 years). The WGS cohort contained patients with late-onset sporadic PD with mean age onset of 61.88 ± 6.927 years. Patients in both cohorts carrying pathogenic mutations in high-confidence PD-causing genes were excluded from the analysis. Followed by informed consent, the basic demographic data, peripheral blooding samples, and clinical features of all participants were collected. We collected total genomic DNA from peripheral blooding samples using standard procedures. The respective ethics committees of Xiangya Hospital of Central South University approved the abovementioned protocol.
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Publication 2023
Brain Diagnosis Ethics Committees, Clinical Ethnicity Genes Genome Movement Disorders Mutation Nervous System Disorder Neurologists Parkinson Disease pathogenesis Patients Woman
To confirm the involvement of DNM1L variants in PD susceptibility, a meta-analysis combining public studies and our case–control study was conducted. In addition to our data, summary data from the PD variant browser were included in the meta-analysis, which comprised four studies: PD Genome Project, International Parkinson's Disease Genomic Consortium (IPDGC) Exomes, IPDGC Resequencing Project, and UK Biobank (19 (link)). Unlike our cohorts, these cohorts mainly contain European populations, which can increase the power to detect the association between DNM1L variants and PD. As no rare variants of DNM1L found in our cohort were seen in included public data, we only validated the significant association between significant common variants of DNM1L and PD in meta-analysis. We used the Hardy-Weinberg equilibrium model to estimate the SNPs in all cohorts and then excluded the variants with deviations in controls (p < 0.05). To assess the strength of the association between DNM1L variants and PD risk, a pooled OR and 95% confidence intervals (CIs) were calculated under five different models (allele, dominant, recessive, heterozygote, and homozygote model). The Cochrane Q-test and I2 statistics were used to assess study heterogeneity and a significant Q-test (p < 0.1 or I2 > 50%) indicated heterogeneity. Fixed- or random-effects models were selected based on the presence or absence of heterogeneity. A Z-test determined the significance of the pooled ORs. We used the FDR method to correct p-values for multiple comparisons for the variant association analysis. A p-value of < 0.05 was considered statistically significant. Moreover, the p-values of Egger's and Begg's tests were calculated to estimate the publication bias. All analyses were performed using the R package “meta.”
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Publication 2023
Alleles DNM1L protein, human Europeans Exome Genetic Heterogeneity Genome Heterozygote Homozygote Parkinson Disease Population Group Single Nucleotide Polymorphism Susceptibility, Disease Vision

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More about "Parkinson Disease"

Parkinson's Disease (PD) is a progressive neurodegenerative disorder characterized by tremors, muscle rigidity, and impaired motor function.
It is caused by the loss of dopamine-producing brain cells, leading to difficulties with coordination, balance, and overall movement.
Researchers are actively exploring innovative approaches, such as AI-driven protocol comparisons, to enhance the reproducibility and quality of Parkinson's disease studies.
This can help identify the most effective research methods and accelerate the development of new treatments and therapies for this debilitating condition.
By leveraging the power of artificial intelligence (AI), scientists can more easily locate and compare research protocols from literature, preprints, and patents, optimizing their studies and improving the consistency of Parkinson's disease research.
This can be particularly useful for analyzing data from various sources, including SAS version 9.4, Endo-Porter, Model 3389, HumanCoreExome array, MiSeq platform, CytoTune, Activa PC, and Stata 13.
PD is a neurodegenerative disorder that affects the central nervous system, leading to progressive impairment of motor functions.
Symptoms can include tremors, slowness of movement (bradykinesia), rigidity, and postural instability.
The condition is often associated with the degeneration of dopaminergic neurons in the substantia nigra, a region of the midbrain.
Advances in AI-driven protocol comparisons can help researchers identify the most effective research methods and improve the consistency of Parkinson's disease studies.
By optimizing research protocols and leveraging data from various sources, scientists can accelerate the development of new treatments and therapies for this debilitating condition.
With the power of AI, researchers can more effectively locate and compare research protocols, leading to enhanced reproducibility and quality in Parkinson's disease research.