Abstract
Parkinson’s disease (PD) is the second most common neurodegenerative disease, with a rapidly increasing prevalence worldwide. Biomarkers monitoring state and progression are urgently needed, and metabolomics from easily accessible biofluids holds the potential to elucidate pathophysiological underpinnings in PD. Several studies suggested metabolomic differences between patients and controls, but findings are controversial, and independent replication is scarce. We thus applied state-of-the-art, large-scale metabolomics in patients with idiopathic and monogenic PD and controls from two independent samples, analyzed by a strict meta-analysis approach. Thereby, we (i) debunked that l-Dopa medication and not disease status causes the most substantial metabolomic differences and (ii) identified polyamine metabolism alterations, partly, but not entirely associated with l-Dopa treatment. Furthermore, we found explorative but robust evidence for alterations in endocannabinoid metabolites; detected lipid metabolism alterations, highlighting potential crosslinks with alpha-synuclein pathology; and provided evidence for a metabolomic signature for the role of oxidative damage in patients with PRKN- and PINK1-linked PD.
| Original language | English |
|---|---|
| Article number | eadp7063 |
| Journal | Science Advances |
| Volume | 11 |
| Issue number | 20 |
| DOIs | |
| Publication status | Published - 16.05.2025 |
Funding
| Funders | Funder number |
|---|---|
| Deutsche Forschungsgemeinschaft | |
| Horizon 2020 Framework Programme | 668738 |
| China Scholarship Council | 202006370070 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Research Areas and Centers
- Research Area: Medical Genetics
DFG Research Classification Scheme
- 2.23-06 Molecular and Cellular Neurology and Neuropathology
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