Multiomics implicate gut microbiota in altered lipid and energy metabolism in Parkinson's disease

Pedro A B Pereira; Drupad K Trivedi; Justin Silverman; Ilhan Cem Duru; Lars Paulin; Petri Auvinen; Filip Scheperjans

doi:10.1038/s41531-022-00300-3

Multiomics implicate gut microbiota in altered lipid and energy metabolism in Parkinson's disease

NPJ Parkinsons Dis. 2022 Apr 11;8(1):39. doi: 10.1038/s41531-022-00300-3.

Authors

Pedro A B Pereira^#^{1

2}, Drupad K Trivedi^#³, Justin Silverman^{4

5}, Ilhan Cem Duru⁶, Lars Paulin⁶, Petri Auvinen⁶, Filip Scheperjans⁷

Affiliations

¹ Department of Neurology, Helsinki University Hospital, and Clinicum, University of Helsinki, Haartmaninkatu 4, 00290, Helsinki, Finland. pedro.pereira@helsinki.fi.
² Institute of Biotechnology, DNA Sequencing and Genomics Laboratory, University of Helsinki, Viikinkaari 5D, 00014, Helsinki, Finland. pedro.pereira@helsinki.fi.
³ Manchester Institute of Biotechnology, The University of Manchester, 131 Princess Street, Manchester, M1 7DN, UK.
⁴ College of Information Science and Technology, Department of Statistics, and Institute for Computational and Data Science, Penn State University, University Park, PA, USA.
⁵ Department of Medicine, Penn State University, Hershey, PA, USA.
⁶ Institute of Biotechnology, DNA Sequencing and Genomics Laboratory, University of Helsinki, Viikinkaari 5D, 00014, Helsinki, Finland.
⁷ Department of Neurology, Helsinki University Hospital, and Clinicum, University of Helsinki, Haartmaninkatu 4, 00290, Helsinki, Finland. filip.scheperjans@hus.fi.

^# Contributed equally.

Abstract

We aimed to investigate the link between serum metabolites, gut bacterial community composition, and clinical variables in Parkinson's disease (PD) and healthy control subjects (HC). A total of 124 subjects were part of the study (63 PD patients and 61 HC subjects). 139 metabolite features were found to be predictive between the PD and Control groups. No associations were found between metabolite features and within-PD clinical variables. The results suggest alterations in serum metabolite profiles in PD, and the results of correlation analysis between metabolite features and microbiota suggest that several bacterial taxa are associated with altered lipid and energy metabolism in PD.

Grants and funding

295724, 310835/Academy of Finland (Suomen Akatemia)