Understanding the biological mechanisms that underlie the non-motor symptoms of Parkinson's disease (PD) requires comprehensive frameworks that unravel the complex interplay of genetic risk factors. Here, we used a disease-agnostic brain cortex gene regulatory network integrated with Mendelian Randomization analyses that identified 19 genes whose changes in expression were causally linked to PD. We further used the network to identify genes that are regulated by PD-associated genome-wide association study (GWAS) SNPs. Extended protein interaction networks derived from PD-risk genes and PD-associated SNPs identified convergent impacts on biological pathways and phenotypes, connecting PD with established co-occurring traits, including non-motor symptoms. These findings hold promise for therapeutic development. In conclusion, while distinct sets of genes likely influence PD risk and outcomes, the existence of genes in common and intersecting pathways associated with other traits suggests that they may contribute to both increased PD risk and symptom heterogeneity observed in people with Parkinson's.
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http://dx.doi.org/10.1038/s41531-024-00638-w | DOI Listing |
Medicine (Baltimore)
January 2025
Department of Cardiovascular Medicine, the Affiliated Traditional Chinese Medicine Hospital, Southwest Medical University, Luzhou, China.
Background: Parkinson's disease is a progressive neurodegenerative disease and the care burden in informal caregivers is huge. Summarizing factors associated with the informal caregivers burden can improve our understanding of providing proactive support to informal caregivers caring for patients with Parkinson's disease (PwP) at risk, and provides evidence for clinical practice.
Methods: PRISMA guidelines were followed in this systematic review.
PLoS One
January 2025
School of Computer Science and Engineering, Changchun University of Technology, Changchun, Jilin, China.
Parkinson's disease (PD) is a common disease of the elderly. Given the easy accessibility of handwriting samples, many researchers have proposed handwriting-based detection methods for Parkinson's disease. Extracting more discriminative features from handwriting is an important step.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Biomedical and Robotics Engineering, Incheon National University, Incheon, Korea.
Gait disturbance is one of the most common symptoms in patients with Parkinson's disease (PD) that is closely associated with poor clinical outcomes. Recently, video-based human pose estimation (HPE) technology has attracted attention as a cheaper and simpler method for performing gait analysis than marker-based 3D motion capture systems. However, it remains unclear whether video-based HPE is a feasible method for measuring temporospatial and kinematic gait parameters in patients with PD and how this function varies with camera position.
View Article and Find Full Text PDFMov Disord
January 2025
British Columbia Children's Hospital Research Institute, Vancouver, British Columbia, Canada.
Background: Trinucleotide repeat expansions are an emerging class of genetic variants associated with various movement disorders. Unbiased genome-wide analyses can reveal novel genotype-phenotype associations and provide a diagnosis for patients and families.
Objective: The aim was to identify the genetic cause of a severe progressive movement disorder phenotype in 2 affected brothers.
Alzheimers Dement
January 2025
Department of Psychiatry, University of Cambridge School of Clinical Medicine, Cambridge Biomedical Campus, Cambridge, UK.
Introduction: Lewy body dementia (LBD) shares genetic risk factors with Alzheimer's disease (AD), including apolipoprotein E (APOE), but is distinguishable at the genome-wide level. Polygenic risk scores (PRS) may therefore improve diagnostic classification.
Methods: We assessed diagnostic classification using AD-PRS excluding APOE (AD-PRS ), APOE risk score (APOE-RS), and plasma phosphorylated tau 181 (p-tau181), in 83 participants with LBD, 27 with positron emission tomography amyloid beta (Aβ)positive mild cognitive impairment or AD (MCI+/AD), and 57 controls.
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