title: Biomarkers in Parkinson Disease: global gene expression analysis in peripheral blood from patients with and without mutations in PARK2 and PARK8.
abstract: OBJECTIVE
  To evaluate the performance of gene expression analysis in the peripheral blood of Parkinson disease patients with different genetic profiles using microarray as a tool to identify possible diseases related biomarkers which could contribute to the elucidation of the pathological process, as well as be useful in diagnosis.
  
  
  METHODS
  Global gene expression analysis by means of DNA microarrays was performed in peripheral blood of Parkinson disease patients with previously identified mutations in PARK2 or PARK8 genes, Parkinson disease patients without known mutations in these genes and normal controls. Each group consisted of five individuals.
  
  
  RESULTS
  Global gene expression profiles were heterogeneous among patients and controls, and it was not possible to detect a consistent pattern between groups. However, analyzing genes with differential expression of p < 0.005 and fold change ≥ 1.2, we were able to identify a small group of well-annotated genes.
  
  
  CONCLUSIONS
  Despite the small sample size, the identification of differentially expressed genes suggests that the microarray technique may be useful in identifying potential biomarkers in the peripheral blood of Parkinson disease patients or in people at risk of developing the disease. This will be important once neuroprotective therapies become available, and may contribute to the identification of new pathways involved in the disease physiopathology. Results presented here should be further validated in larger groups of patients.
authors.affiliation: Instituto Israelita de Ensino e Pesquisa Albert Einstein - IIEPAE, São Paulo, SP, BR.
authors.forename: Patricia Maria de Carvalho
authors.initials: PM
authors.lastname: Aguiar
authors.affiliation: Instituto Israelita de Ensino e Pesquisa Albert Einstein - IIEPAE, São Paulo, SP, BR.
authors.forename: Patricia
authors.initials: P
authors.lastname: Severino