%0 Journal Article
%A Zhao, Yujia
%A Lai, Yunjia
%A Darweesh, Sirwan K L
%A Bloem, Bastiaan R
%A Forsgren, Lars
%A Hansen, Johnni
%A Katzke, Verena A
%A Masala, Giovanna
%A Sieri, Sabina
%A Sacerdote, Carlotta
%A Panico, Salvatore
%A Zamora-Ros, Raul
%A Sanchez-Perez, Maria-Jose
%A Huerta, José María
%A Guevara, Marcela
%A Vinagre-Aragon, Ana
%A Vineis, Paolo
%A Lill, Christina M
%A Miller, Gary W
%A Peters, Susan
%A Vermeulen, Roel
%T Gut Microbial Metabolites and Future Risk of Parkinson's Disease: A Metabolome-Wide Association Study.
%D 2024
%U https://hdl.handle.net/10668/24332
%X BackgroundAlterations in gut microbiota are observed in Parkinson's disease (PD). Previous studies on microbiota-derived metabolites in PD were small-scale and post-diagnosis, raising concerns about reverse causality.ObjectivesOur goal was to prospectively investigate the association between plasma microbial metabolites and PD risk within a metabolomics framework.MethodsA nested case–control study within the prospective EPIC4PD cohort, measured pre-diagnostic plasma microbial metabolites using untargeted metabolomics.ResultsThirteen microbial metabolites were identified nominally associated with PD risk (P-value < 0.05), including amino acids, bile acid, indoles, and hydroxy acid, although none remained significant after multiple testing correction. Three pathways were implicated in PD risk: valine, leucine, and isoleucine degradation, butanoate metabolism, and propanoate metabolism. PD-associated microbial pathways were more pronounced in men, smokers, and overweight/obese individuals.ConclusionChanges in microbial metabolites may represent a pre-diagnostic feature of PD. We observed biologically plausible associations between microbial pathways and PD, potentially influenced by individual characteristics. © 2024 The Author(s). Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
%K Gut‐brain axis
%K Microbial metabolites
%K Parkinson's disease
%K Pre‐diagnostic biosamples
%K Untargeted metabolomics
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