학술논문

Omics data integration suggests a potential idiopathic Parkinson’s disease signature
Document Type
Original Paper
Source
Communications Biology. 6(1)
Subject
Language
English
ISSN
2399-3642
Abstract
The vast majority of Parkinson’s disease cases are idiopathic. Unclear etiology and multifactorial nature complicate the comprehension of disease pathogenesis. Identification of early transcriptomic and metabolic alterations consistent across different idiopathic Parkinson’s disease (IPD) patients might reveal the potential basis of increased dopaminergic neuron vulnerability and primary disease mechanisms. In this study, we combine systems biology and data integration approaches to identify differences in transcriptomic and metabolic signatures between IPD patient and healthy individual-derived midbrain neural precursor cells. Characterization of gene expression and metabolic modeling reveal pyruvate, several amino acid and lipid metabolism as the most dysregulated metabolic pathways in IPD neural precursors. Furthermore, we show that IPD neural precursors endure mitochondrial metabolism impairment and a reduced total NAD pool. Accordingly, we show that treatment with NAD precursors increases ATP yield hence demonstrating a potential to rescue early IPD-associated metabolic changes.
Transcriptomics and metabolomics data integration coupled with systems biology reveal signature differences in idiopathic Parkinson’s disease vs healthy controls, with pyruvate, amino acid, lipid and NAD metabolism as most dysregulated pathways.