255
Views
7
CrossRef citations to date
0
Altmetric
Patent Evaluations

Parkinson’s disease biomarker: a patent evaluation of WO2013153386

, , &
Pages 947-951 | Published online: 25 Jun 2014
 

Abstract

Introduction: Parkinson’s disease (PD) is a neurodegenerative movement disorder resultant from the loss of dopaminergic neurons in the brain. There is an urgent need for effective biomarkers that can be used in the early diagnosis of PD. Mitochondrial dysfunction plays a significant role in PD pathology, which has led to the evaluation of mitophagy markers, PTEN-induced putative kinase 1 (PINK1), and PARKIN as possible biomarkers for the early diagnosis of PD.

Areas covered: The current patent describes the use of phosphorylation of PINK1 and PARKIN as a diagnostic measure. Specifically, Ser65 on PARKIN, which is phosphorylated by PINK1, and the autophosphorylation of PINK1 at Thr257 are described.

Expert opinion: This patent describes a much needed methodology that can easily be adapted in the clinical setting by which a biological sample, such as serum or cerebrospinal fluid, is collected and analyzed for the phosphorylation markers. Here, the phosphorylation activity seen in PINK1 and PARKIN can differentiate between age-matched controls and PD patients. This patent presents a novel diagnostic measure in early PD, as well as determines which medications would have a beneficial effect on a patient’s disease progression.

Notes

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 99.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 1,757.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.