4.1 Review

Using 'omics' to define pathogenesis and biomarkers of Parkinson's disease

Journal

EXPERT REVIEW OF NEUROTHERAPEUTICS
Volume 10, Issue 6, Pages 925-942

Publisher

TAYLOR & FRANCIS LTD
DOI: 10.1586/ERN.10.54

Keywords

axon guidance; cerebrospinal fluid; CSF; metabolomics; oxidative stress; Parkinson's disease; plasma; proteomics; SNpc; substantia nigra pars compacta; transcriptomics

Funding

  1. National Institutes of Health [E5004696, NS057567, AG025327, AG033398, NS060252, ES016873, NS062684]
  2. Michael Fox Foundation
  3. National Institute of Environmental Health Science [K99ES017477]

Ask authors/readers for more resources

Although great effort has been put forth to uncover the complex molecular mechanisms exploited in the pathogenesis of Parkinson's disease, a satisfactory explanation remains to be discovered. The emergence of several -omics techniques, transcriptomics, proteomics and metabolomics, have been integral in confirming previously identified pathways that are associated with dopaminergic neurodegeneration and subsequently Parkinson's disease, including mitochondrial and proteasomal function and synaptic neurotransmission. Additionally, these unbiased techniques, particularly in the brain regions uniquely associated with the disease, have greatly enhanced our ability to identify novel pathways, such as axon-guidance, that are potentially involved in Parkinson's pathogenesis. A comprehensive appraisal of the results obtained by different -omics has also reconfirmed the increase in oxidative stress as a common pathway likely to be critical in Parkinson's development/progression. It is hoped that further integration of these techniques will yield a more comprehensive understanding of Parkinson's disease etiology and the biological pathways that mediate neurodegeneration.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.1
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available