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Integrated Analyses of Microbiome and Longitudinal Metabolome Data Reveal Microbial-Host Interactions on Sulfur Metabolism in Parkinson’s Disease
Parkinson’s disease (PD) exhibits systemic effects on the human metabolism, with emerging roles for the gut microbiome. Here, we integrate longitudinal metabolome data from 30 drug-naive, de novo PD patients and 30 matched controls with constraint-based modeling of gut microbial communities derived...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cell Press
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6856723/ https://www.ncbi.nlm.nih.gov/pubmed/31722195 http://dx.doi.org/10.1016/j.celrep.2019.10.035 |
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author | Hertel, Johannes Harms, Amy C. Heinken, Almut Baldini, Federico Thinnes, Cyrille C. Glaab, Enrico Vasco, Daniel A. Pietzner, Maik Stewart, Isobel D. Wareham, Nicholas J. Langenberg, Claudia Trenkwalder, Claudia Krüger, Rejko Hankemeier, Thomas Fleming, Ronan M.T. Mollenhauer, Brit Thiele, Ines |
author_facet | Hertel, Johannes Harms, Amy C. Heinken, Almut Baldini, Federico Thinnes, Cyrille C. Glaab, Enrico Vasco, Daniel A. Pietzner, Maik Stewart, Isobel D. Wareham, Nicholas J. Langenberg, Claudia Trenkwalder, Claudia Krüger, Rejko Hankemeier, Thomas Fleming, Ronan M.T. Mollenhauer, Brit Thiele, Ines |
author_sort | Hertel, Johannes |
collection | PubMed |
description | Parkinson’s disease (PD) exhibits systemic effects on the human metabolism, with emerging roles for the gut microbiome. Here, we integrate longitudinal metabolome data from 30 drug-naive, de novo PD patients and 30 matched controls with constraint-based modeling of gut microbial communities derived from an independent, drug-naive PD cohort, and prospective data from the general population. Our key results are (1) longitudinal trajectory of metabolites associated with the interconversion of methionine and cysteine via cystathionine differed between PD patients and controls; (2) dopaminergic medication showed strong lipidomic signatures; (3) taurine-conjugated bile acids correlated with the severity of motor symptoms, while low levels of sulfated taurolithocholate were associated with PD incidence in the general population; and (4) computational modeling predicted changes in sulfur metabolism, driven by A. muciniphila and B. wadsworthia, which is consistent with the changed metabolome. The multi-omics integration reveals PD-specific patterns in microbial-host sulfur co-metabolism that may contribute to PD severity. |
format | Online Article Text |
id | pubmed-6856723 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Cell Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-68567232019-11-21 Integrated Analyses of Microbiome and Longitudinal Metabolome Data Reveal Microbial-Host Interactions on Sulfur Metabolism in Parkinson’s Disease Hertel, Johannes Harms, Amy C. Heinken, Almut Baldini, Federico Thinnes, Cyrille C. Glaab, Enrico Vasco, Daniel A. Pietzner, Maik Stewart, Isobel D. Wareham, Nicholas J. Langenberg, Claudia Trenkwalder, Claudia Krüger, Rejko Hankemeier, Thomas Fleming, Ronan M.T. Mollenhauer, Brit Thiele, Ines Cell Rep Article Parkinson’s disease (PD) exhibits systemic effects on the human metabolism, with emerging roles for the gut microbiome. Here, we integrate longitudinal metabolome data from 30 drug-naive, de novo PD patients and 30 matched controls with constraint-based modeling of gut microbial communities derived from an independent, drug-naive PD cohort, and prospective data from the general population. Our key results are (1) longitudinal trajectory of metabolites associated with the interconversion of methionine and cysteine via cystathionine differed between PD patients and controls; (2) dopaminergic medication showed strong lipidomic signatures; (3) taurine-conjugated bile acids correlated with the severity of motor symptoms, while low levels of sulfated taurolithocholate were associated with PD incidence in the general population; and (4) computational modeling predicted changes in sulfur metabolism, driven by A. muciniphila and B. wadsworthia, which is consistent with the changed metabolome. The multi-omics integration reveals PD-specific patterns in microbial-host sulfur co-metabolism that may contribute to PD severity. Cell Press 2019-11-12 /pmc/articles/PMC6856723/ /pubmed/31722195 http://dx.doi.org/10.1016/j.celrep.2019.10.035 Text en © 2019 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Hertel, Johannes Harms, Amy C. Heinken, Almut Baldini, Federico Thinnes, Cyrille C. Glaab, Enrico Vasco, Daniel A. Pietzner, Maik Stewart, Isobel D. Wareham, Nicholas J. Langenberg, Claudia Trenkwalder, Claudia Krüger, Rejko Hankemeier, Thomas Fleming, Ronan M.T. Mollenhauer, Brit Thiele, Ines Integrated Analyses of Microbiome and Longitudinal Metabolome Data Reveal Microbial-Host Interactions on Sulfur Metabolism in Parkinson’s Disease |
title | Integrated Analyses of Microbiome and Longitudinal Metabolome Data Reveal Microbial-Host Interactions on Sulfur Metabolism in Parkinson’s Disease |
title_full | Integrated Analyses of Microbiome and Longitudinal Metabolome Data Reveal Microbial-Host Interactions on Sulfur Metabolism in Parkinson’s Disease |
title_fullStr | Integrated Analyses of Microbiome and Longitudinal Metabolome Data Reveal Microbial-Host Interactions on Sulfur Metabolism in Parkinson’s Disease |
title_full_unstemmed | Integrated Analyses of Microbiome and Longitudinal Metabolome Data Reveal Microbial-Host Interactions on Sulfur Metabolism in Parkinson’s Disease |
title_short | Integrated Analyses of Microbiome and Longitudinal Metabolome Data Reveal Microbial-Host Interactions on Sulfur Metabolism in Parkinson’s Disease |
title_sort | integrated analyses of microbiome and longitudinal metabolome data reveal microbial-host interactions on sulfur metabolism in parkinson’s disease |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6856723/ https://www.ncbi.nlm.nih.gov/pubmed/31722195 http://dx.doi.org/10.1016/j.celrep.2019.10.035 |
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