Neurotrophic Response to CNS Degeneration or Injury: Effects of Aging

Abstract

The etiology of Parkinson's disease is not known and may be related to several factors which include inheritable mutations (genetic), exposure to environmental toxins, and/or traumatic head injury. Our current research examines age-related changes in neurotrophic factor expression An Brown Norway/(Fischer 344 Fl hybrid (F344BNF1)rats, and we have preliminary evidence that the young and aged nigrostriatal system responds differently to neurotoxic insult or mechanical injury, i.e., young rats show a tendency to increase neurotrophic factor expression while aged rats do not. This is an important finding in the sense that the success of new therapies utilizing embryonic neurons or stem cells may be dependent on how well the implanted cells interact with the host neurotrophic environment. The studies proposed in this research project will further characterize the temporal expression of neurotrophic markers before and after neurotoxic insult or mechanical injury to the nigrostriatal%system in young, middle-age, and old F344BNF1 rats. The second part of this project will demonstrate that age differences in compensatory neurotrophic mechanisms that occur in the nigrostriatal system have a direct impact on the success of embryonic neurons implanted into the injured or denervated striatum.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2004
Accession Number
ADA428519

Entities

People

  • David N. Yurek

Organizations

  • University of Kentucky

Tags

DTIC Thesaurus Topics

  • Arteries
  • Brain
  • Cells
  • Diseases And Disorders
  • Growth Factors
  • Health Services
  • Medical Personnel
  • Neurodegeneration
  • Neurons
  • Neurosciences
  • Parkinson'S Disease
  • Peptide Growth Factors
  • Regression Analysis
  • Statistical Analysis
  • Transplants

Fields of Study

  • Biology

Readers

  • Immunology and Pathology
  • Neurodegenerative Parkinson's Disease and Rickettsial Disease handbook, including the data level of dopamine, BC, neurons, and PD.
  • Neuroscience

Technology Areas

  • Biotechnology