Splice Variant Biomarkers for Parkinson's Disease

Abstract

Recently we identified splice variants in whole blood than can distinguish early stage Parkinson s disease (PD) patients from healthy and neurodegenerative controls. The proposed studies will test the hypothesis that the biomarkers will be useful for identifying individuals at risk for PD and for identifying signaling pathways that are disrupted in PD. We are testing the expression of the biomarkers in RNA prepared from whole blood of hyposmic participants in the Parkinson s Associated Risk Study (PARS) (Technical Objective 1.0). In order to establish a model for testing the function of the biomarkers, we are determining whether their expression is altered in human olfactory neurosphere-derived (hONS) cells derived from idiopathic PD patients and healthy controls (Technical Objective 2.0). To determine the signaling pathways affected in PD and identify additional biomarkers, we are using network analysis (Technical Objective 3.0). During year 1, RNA and cDNA was prepared from PARS samples from Year 0 (baseline) and Year 2. Quantitative polymerase chain reactions were initiated for two of the biomarkers (APP, HNF4 ). Expression of the biomarkers was tested in hONS. We also developed network approaches to reveal the common molecular pathways involved with PD and type 2 diabetes (T2DM). Using these networks, we identified APP, HNF4A and SOD2 mRNAs as blood biomarkers predictive of early stage PD. In addition, we determined that HNF4A mRNA may be a progression marker in blood for PD.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 2014
Accession Number
ADA600497

Entities

People

  • Judith A Potashkin

Organizations

  • Rosalind Franklin University of Medicine and Science

Tags

Communities of Interest

  • Advanced Electronics

DTIC Thesaurus Topics

  • Cell Physiological Processes
  • Cells
  • Chemical Synthesis
  • Chemistry
  • Genetics
  • Health Services
  • Medical Personnel
  • Metabolic Diseases
  • Neurodegeneration
  • Parkinson'S Disease

Fields of Study

  • Biology

Readers

  • Molecular Genetics
  • Neurodegenerative Parkinson's Disease and Rickettsial Disease handbook, including the data level of dopamine, BC, neurons, and PD.
  • Oncology and Biomarker-Based Cancer Detection.