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.
| Originalsprache | Englisch |
|---|---|
| Aufsatznummer | eadp7063 |
| Zeitschrift | Science Advances |
| Jahrgang | 11 |
| Ausgabenummer | 20 |
| DOIs | |
| Publikationsstatus | Veröffentlicht - 16.05.2025 |
Fördermittel
We thank the study participants at both clinical recruitment sites for their willingness to support our research. The project was funded by the EU Horizon 2020 programme, grant agreement 668738 (SysMedPD). The German Research Foundation (DFG) funded A.B.’s research stay at Leiden, the Netherlands. X.L. is funded by a Chinese Scholarship Council (CSC) scholarship (grant number 202006370070). Acknowledgments: We thank the study participants at both clinical recruitment sites for their willingness to support our research. Funding: the project was funded by the eU horizon 2020 programme, grant agreement 668738 (SysMedPd). the German Research Foundation (dFG) funded A.B.’s research stay at leiden, the netherlands. X.l. is funded by a chinese Scholarship council (cSc) scholarship (grant number 202006370070). Author contributions: A.B.: Writing—original draft, conceptualization, investigation, methodology, resources, data curation, validation, formal analysis, project administration, and visualization. M.B.: Writing— original draft, conceptualization, investigation, methodology, resources, project administration, and visualization. P.c.: conceptualization, writing—review and editing, methodology, and resources. X.l.: Writing—review and editing and validation. J.h.: Writing— review and editing and resources. t.B.: investigation, Writing—review and editing, methodology, resources, data curation, validation, formal analysis, and project administration. c.l.: investigation, writing—review and editing, methodology, and resources. A.h.: investigation, writing—review and editing, and methodology. K.l.: Writing—review and editing, resources, and validation. e.B.: Writing – review and editing, resources, data curation, and formal analysis. h.R.M.: conceptualization, investigation, writing—review and editing, methodology, funding acquisition, supervision, and project administration. A.h.S.: conceptualization, investigation, writing—review and editing, methodology, resources, funding acquisition, validation, and project administration. t.h.: Writing—review and editing, methodology, funding acquisition, supervision. R.F.: Writing—review and editing, methodology, and supervision. S.S.: conceptualization, writing—review and editing, data curation, formal analysis, and visualization. c.K.: conceptualization, investigation, writing— review and editing, methodology, resources, funding acquisition, data curation, validation, supervision, and project administration. Competing interests: the authors declare that they have no competing interests. Data and materials availability: the raw data supporting this study’s findings were uploaded to Zenodo (https://zenodo.org/records/15124574). in addition,
| Träger | Trägernummer |
|---|---|
| Deutsche Forschungsgemeinschaft | |
| Horizon 2020 Framework Programme | 668738 |
| China Scholarship Council | 202006370070 |
UN SDGs
Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung
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SDG 3 – Gesundheit und Wohlergehen
Strategische Forschungsbereiche und Zentren
- Querschnittsbereich: Medizinische Genetik
DFG-Fachsystematik
- 2.23-06 Molekulare und zelluläre Neurologie und Neuropathologie
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