AI Article Synopsis

  • * Researchers identified 19 genes linked to PD through gene regulatory networks and Mendelian Randomization, revealing connections between these genes and common traits associated with the disease.
  • * The study suggests that while different genes affect PD risk and symptoms, overlapping pathways may increase the risk and symptom variability in patients, offering potential targets for new treatments.

Article Abstract

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.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10805842PMC
http://dx.doi.org/10.1038/s41531-024-00638-wDOI Listing

Publication Analysis

Top Keywords

parkinson's disease
8
non-motor symptoms
8
genes
5
discovering genetic
4
genetic mechanisms
4
mechanisms underlying
4
underlying co-occurrence
4
co-occurrence parkinson's
4
disease non-motor
4
non-motor traits
4

Similar Publications

Factors associated with higher caregiver burden among informal caregivers of Parkinson's disease: A systematic review.

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.

View Article and Find Full Text PDF

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 PDF

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 PDF

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.

View Article and Find Full Text PDF

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.

View Article and Find Full Text PDF

Want 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!