Identification of metabolites reproducibly associated with Parkinson's Disease via meta-analysis and computational modelling.

Autor: Luo X; School of Medicine, University of Galway, University Rd, Galway, Ireland., Liu Y; School of Medicine, University of Galway, University Rd, Galway, Ireland., Balck A; Institute of Neurogenetics and Department of Neurology, University of Luebeck and University Hospital Schleswig-Holstein, Luebeck, Germany., Klein C; Institute of Neurogenetics and Department of Neurology, University of Luebeck and University Hospital Schleswig-Holstein, Luebeck, Germany., Fleming RMT; School of Medicine, University of Galway, University Rd, Galway, Ireland. ronan.mt.fleming@gmail.com.; Division of Systems Biomedicine and Pharmacology, Leiden Academic Centre for Drug Research, Leiden University, Leiden, Netherlands. ronan.mt.fleming@gmail.com.
Jazyk: angličtina
Zdroj: NPJ Parkinson's disease [NPJ Parkinsons Dis] 2024 Jun 29; Vol. 10 (1), pp. 126. Date of Electronic Publication: 2024 Jun 29.
DOI: 10.1038/s41531-024-00732-z
Abstrakt: Many studies have reported metabolomic analysis of different bio-specimens from Parkinson's disease (PD) patients. However, inconsistencies in reported metabolite concentration changes make it difficult to draw conclusions as to the role of metabolism in the occurrence or development of Parkinson's disease. We reviewed the literature on metabolomic analysis of PD patients. From 74 studies that passed quality control metrics, 928 metabolites were identified with significant changes in PD patients, but only 190 were replicated with the same changes in more than one study. Of these metabolites, 60 exclusively increased, such as 3-methoxytyrosine and glycine, 54 exclusively decreased, such as pantothenic acid and caffeine, and 76 inconsistently changed in concentration in PD versus control subjects, such as ornithine and tyrosine. A genome-scale metabolic model of PD and corresponding metabolic map linking most of the replicated metabolites enabled a better understanding of the dysfunctional pathways of PD and the prediction of additional potential metabolic markers from pathways with consistent metabolite changes to target in future studies.
(© 2024. The Author(s).)
Databáze: MEDLINE
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