Advances in the Research of Risk Factors and Prodromal Biomarkers of Parkinson's Disease

ACS Chem Neurosci. 2019 Feb 20;10(2):973-990. doi: 10.1021/acschemneuro.8b00520. Epub 2019 Jan 11.

Abstract

Parkinson's disease (PD) is the second most common neurodegenerative disease in the world. With the advent of an aging population and improving life expectancy worldwide, the number of PD patients is expected to increase, which may lead to an urgent need for effective preventive and diagnostic strategies for PD. Although there is increasing research regarding the pathogenesis of PD, there is limited knowledge regarding the prevention of PD. Moreover, the diagnosis of PD depends on clinical criteria, which require the occurrence of bradykinesia and at least one symptom of rest tremor or rigidity. However, converging evidence from clinical, genetic, neuropathological, and imaging studies suggests the initiation of PD-specific pathology prior to the initial presentation of these classical motor clinical features by years or decades. This latent stage of neurodegeneration in PD is a particularly important stage for effective neuroprotective therapies, which might retard the progression or prevent the onset of PD. Therefore, the exploration of risk factors and premotor biomarkers is not only crucial to the early diagnosis of PD but is also helpful in the development of effective neuroprotection and health care strategies for appropriate populations at risk for PD. In this review, we searched and summarized ∼249 researches and 31 reviews focusing on the risk factors and prodromal biomarkers of PD and published in MEDLINE.

Keywords: Biomarkers; Early diagnosis; PD; Prodromal stage; Risk factors.

Publication types

  • Research Support, Non-U.S. Gov't
  • Review

MeSH terms

  • Animals
  • Biomarkers / metabolism
  • Biomedical Research / methods
  • Biomedical Research / trends*
  • Humans
  • Parkinson Disease / diagnostic imaging*
  • Parkinson Disease / metabolism*
  • Prodromal Symptoms*
  • Risk Factors

Substances

  • Biomarkers