The accelerated aging model reveals critical mechanisms of late-onset Parkinson's disease.

ABSTRACT:

Background

Late-onset Parkinson's disease (LOPD) is a common neurodegenerative disorder and lacks disease-modifying treatments, attracting major attentions as the aggravating trend of aging population. There were numerous evidences supported that accelerated aging was the primary risk factor for LOPD, thus pointed out that the mechanisms of PD should be revealed thoroughly based on aging acceleration. However, how PD was triggered by accelerated aging remained unclear and the systematic prediction model was needed to study the mechanisms of PD.

Results

In this paper, an improved PD predictor was presented by comparing with the normal aging process, and both aging and PD markers were identified herein using machine learning methods. Based on the aging scores, the aging accele

SUBMITTER: Li S 

PROVIDER: S-EPMC7288517 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature