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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cell Press 2019
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.
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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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