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Related Concept Videos

Parkinson's Disease: Overview01:15

Parkinson's Disease: Overview

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Neurodegenerative disorders are progressive diseases that cause irreversible damage and loss to neurons in specific brain areas. Examples of these disorders include Parkinson's disease, Alzheimer's disease, Multiple Sclerosis (MS), and Amyotrophic Lateral Sclerosis (ALS). These disorders share characteristics such as proteinopathies, selective neuronal vulnerability, and a complex interplay between genetic and environmental factors. The primary therapeutic goal for these conditions is...
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Parkinson Disease ll: Pathophysiology01:24

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Parkinson disease (PD) is a progressive neurodegenerative disorder primarily affecting movement, with additional non-motor features. Its pathophysiology involves complex interactions among genetic susceptibility, environmental exposures, and cellular dysfunction, including dopaminergic neuron loss, protein aggregation, and mitochondrial impairment.Selective NeurodegenerationA key feature is the degeneration of dopaminergic neurons in the substantia nigra pars compacta, leading to reduced...
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Parkinson’s disease is a chronic, progressive neurodegenerative disorder that primarily affects movement. It is characterized by motor symptoms such as resting tremors, muscle rigidity, bradykinesia (slowness of movement), and postural instability. Patients may notice hand tremors at rest, stiffness during movement, or a shuffling gait. In addition to motor features, non-motor symptoms include sleep disturbances, mood and behavioral changes, constipation, and cognitive impairment, all of...
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Neurodegenerative disorders, such as Parkinson's Disease (PD), involve the gradual and irreversible destruction of neurons in particular brain areas. These disorders exhibit standard features like proteinopathies, selective vulnerability of some neurons, and an interaction of intrinsic properties, genetics, and environmental influences in neural injury.
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Digestion begins with a cephalic phase that prepares the digestive system to receive food. When our brain processes visual or olfactory information about food, it triggers impulses in the cranial nerves innervating the salivary glands and stomach to prepare for food.
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Alzheimer's Disease (AD) is a continually advancing neurodegenerative disorder, distinguished by escalating memory loss, cognitive dysfunction, and dementia. The disease unfolds in three stages: preclinical, mild cognitive impairment (MCI), and dementia. Its onset is insidious, and the progression gradual, with the cause not well explained by other disorders.
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Related Experiment Video

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Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease
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A network view on Parkinson's disease.

Sreedevi Chandrasekaran1, Danail Bonchev1

  • 1Center for the Study of Biological Complexity, Virginia Commonwealth University, United States.

Computational and Structural Biotechnology Journal
|April 2, 2014
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Summary
This summary is machine-generated.

Network analysis identified novel genes and microRNAs implicated in Parkinson's disease (PD) pathogenesis. This study reveals potential therapeutic targets and neuroprotective mechanisms for Parkinson's disease.

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Area of Science:

  • Systems Biology
  • Neuroscience
  • Genomics

Background:

  • Parkinson's disease (PD) is a complex neurodegenerative disorder with incompletely understood molecular underpinnings.
  • Identifying critical molecular players and pathways is crucial for developing effective therapeutic strategies.

Purpose of the Study:

  • To leverage network-based systems biology approaches to identify novel genes, microRNAs, and biological pathways associated with Parkinson's disease.
  • To uncover potential drug targets and understand disease initiation and neuroprotection mechanisms in PD.

Main Methods:

  • Utilized Pathway Studio 9.0 and multiple microarray gene expression datasets to construct and analyze biomolecular networks (interaction, shortest path, microRNA regulatory).
  • Applied network topology analysis (connectivity, centrality) and guilt-by-association rule to identify novel PD-related genes.
  • Performed enrichment analysis (DAVID, IPA) of KEGG and canonical pathways to elucidate mechanistic insights.

Main Results:

  • Identified 17 novel genes potentially involved in Parkinson's disease.
  • Discovered seven new microRNAs (miR-132, miR-133a1, miR-181-1, miR-182, miR-218-1, miR-29a, miR-330) associated with PD, targeting genes like RIMS3, SEMA6D, and SYNJ1.
  • Highlighted the involvement of chemokine signaling, adherence junction, and actin cytoskeleton regulation pathways, with extracellular ligands (CX3CL1, SEMA6D, IL12B) potentially triggering disease initiation and neuroprotection.

Conclusions:

  • Network-based analysis successfully identified novel molecular players and pathways crucial for understanding Parkinson's disease.
  • A dual regulatory system involving transcription factors and microRNAs was detected, offering new insights into PD pathogenesis.
  • The findings provide a foundation for developing targeted therapies and neuroprotective strategies for Parkinson's disease.