| Reference : Integrated Analyses of Microbiome and Longitudinal Metabolome Data Reveal Microbial-H... |
| Scientific journals : Article | |||
| Life sciences : Biotechnology Life sciences : Multidisciplinary, general & others Human health sciences : Neurology Human health sciences : Multidisciplinary, general & others | |||
| Systems Biomedicine | |||
| http://hdl.handle.net/10993/40658 | |||
| Integrated Analyses of Microbiome and Longitudinal Metabolome Data Reveal Microbial-Host Interactions on Sulfur Metabolism in Parkinson’s Disease | |
| English | |
| Hertel, Johannes [] | |
| Harms, Amy C. [] | |
| Heinken, Almut [] | |
Baldini, Federico  [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > >] | |
| Thinnes, Cyrille C. [] | |
| Glaab, Enrico [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > >] | |
| Vasco, Daniel [] | |
| Pietzner, Maik [] | |
| Stewart, Isobel D. [] | |
| Wareham, Nicholas J. [] | |
| Langenberg, Claudia [] | |
| Trenkwalder, Claudia [] | |
| Krüger, Rejko [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Life Science Research Unit >] | |
| Hankemeier, Thomas [] | |
| Fleming, Ronan M.T. [] | |
| Mollenhauer, Brit [] | |
| Thiele, Ines [] | |
| 2019 | |
| Cell Reports | |
| Elsevier | |
| 29 | |
| 7 | |
| 1767-1777 | |
| Yes (verified by ORBilu) | |
| International | |
| 2211-1247 | |
| 2211-1247 | |
| Amsterdam | |
| Netherlands | |
| [en] Parkinson's disease ; metabolomics ; analysis ; statistics ; constraint-based modeling ; gut microbiome ; metabolism ; computational modeling ; prediction | |
| [en] Parkinson’s disease (PD) exhibits systemic effects on human metabolism with emerging roles for the gut microbiome. Here, we integrated longitudinal metabolome data from 30 drug-naïve, de-novo PD patients and 30 matched controls with constraint-based modeling of gut microbial communities derived from an independent, drug-naïve PD cohort, and prospective data from a general population. Our key results are i) longitudinal trajectory of metabolites associated with the interconversion of methionine and cysteine via cystathionine differed between PD patients and controls, ii) dopaminergic medication showed strong lipidomic signatures, iii) taurine-conjugated bile acids correlated with the severity of motor symptoms, while low levels of sulfated taurolithocholate were associated with incident PD in the general population, and iv) computational modeling predicted changes in sulfur metabolism, driven by A. muciniphila and B. wadsworthia, consistent with the changed metabolome. In conclusion, the multi-omics integration revealed PD-specific patterns in microbial-host sulfur co-metabolism that may contribute to PD severity. | |
| Luxembourg Centre for Systems Biomedicine (LCSB) | |
| Fonds National de la Recherche - FnR ; European Research Council ; Medical Research Council ; Cambridge Lipidomics Biomarker Research Initiative | |
| National Centre of Excellence in Research (NCER) on Parkinson’s disease | |
| Researchers ; Professionals ; Students | |
| http://hdl.handle.net/10993/40658 | |
| The original publication is available at: https://www.cell.com/cell-reports/fulltext/S2211-1247(19)31335 | |
| H2020 ; 757922 - BugTheDrug - Predicting the effects of gut microbiota and diet on an individual’s drug response and safety | |
| FnR ; FNR11264123 > Rejko Krüger > NCER-PD > > 01/01/2015 > 30/11/2020 > 2013 |
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