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Microbiome and metabolome features of the cardiometabolic disease spectrum
Previous microbiome and metabolome analyses exploring non-communicable diseases have paid scant attention to major confounders of study outcomes, such as common, pre-morbid and co-morbid conditions, or polypharmacy. Here, in the context of ischemic heart disease (IHD), we used a study design that re...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group US
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8863577/ https://www.ncbi.nlm.nih.gov/pubmed/35177860 http://dx.doi.org/10.1038/s41591-022-01688-4 |
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author | Fromentin, Sebastien Forslund, Sofia K. Chechi, Kanta Aron-Wisnewsky, Judith Chakaroun, Rima Nielsen, Trine Tremaroli, Valentina Ji, Boyang Prifti, Edi Myridakis, Antonis Chilloux, Julien Andrikopoulos, Petros Fan, Yong Olanipekun, Michael T. Alves, Renato Adiouch, Solia Bar, Noam Talmor-Barkan, Yeela Belda, Eugeni Caesar, Robert Coelho, Luis Pedro Falony, Gwen Fellahi, Soraya Galan, Pilar Galleron, Nathalie Helft, Gerard Hoyles, Lesley Isnard, Richard Le Chatelier, Emmanuelle Julienne, Hanna Olsson, Lisa Pedersen, Helle Krogh Pons, Nicolas Quinquis, Benoit Rouault, Christine Roume, Hugo Salem, Joe-Elie Schmidt, Thomas S. B. Vieira-Silva, Sara Li, Peishun Zimmermann-Kogadeeva, Maria Lewinter, Christian Søndertoft, Nadja B. Hansen, Tue H. Gauguier, Dominique Gøtze, Jens Peter Køber, Lars Kornowski, Ran Vestergaard, Henrik Hansen, Torben Zucker, Jean-Daniel Hercberg, Serge Letunic, Ivica Bäckhed, Fredrik Oppert, Jean-Michel Nielsen, Jens Raes, Jeroen Bork, Peer Stumvoll, Michael Segal, Eran Clément, Karine Dumas, Marc-Emmanuel Ehrlich, S. Dusko Pedersen, Oluf |
author_facet | Fromentin, Sebastien Forslund, Sofia K. Chechi, Kanta Aron-Wisnewsky, Judith Chakaroun, Rima Nielsen, Trine Tremaroli, Valentina Ji, Boyang Prifti, Edi Myridakis, Antonis Chilloux, Julien Andrikopoulos, Petros Fan, Yong Olanipekun, Michael T. Alves, Renato Adiouch, Solia Bar, Noam Talmor-Barkan, Yeela Belda, Eugeni Caesar, Robert Coelho, Luis Pedro Falony, Gwen Fellahi, Soraya Galan, Pilar Galleron, Nathalie Helft, Gerard Hoyles, Lesley Isnard, Richard Le Chatelier, Emmanuelle Julienne, Hanna Olsson, Lisa Pedersen, Helle Krogh Pons, Nicolas Quinquis, Benoit Rouault, Christine Roume, Hugo Salem, Joe-Elie Schmidt, Thomas S. B. Vieira-Silva, Sara Li, Peishun Zimmermann-Kogadeeva, Maria Lewinter, Christian Søndertoft, Nadja B. Hansen, Tue H. Gauguier, Dominique Gøtze, Jens Peter Køber, Lars Kornowski, Ran Vestergaard, Henrik Hansen, Torben Zucker, Jean-Daniel Hercberg, Serge Letunic, Ivica Bäckhed, Fredrik Oppert, Jean-Michel Nielsen, Jens Raes, Jeroen Bork, Peer Stumvoll, Michael Segal, Eran Clément, Karine Dumas, Marc-Emmanuel Ehrlich, S. Dusko Pedersen, Oluf |
author_sort | Fromentin, Sebastien |
collection | PubMed |
description | Previous microbiome and metabolome analyses exploring non-communicable diseases have paid scant attention to major confounders of study outcomes, such as common, pre-morbid and co-morbid conditions, or polypharmacy. Here, in the context of ischemic heart disease (IHD), we used a study design that recapitulates disease initiation, escalation and response to treatment over time, mirroring a longitudinal study that would otherwise be difficult to perform given the protracted nature of IHD pathogenesis. We recruited 1,241 middle-aged Europeans, including healthy individuals, individuals with dysmetabolic morbidities (obesity and type 2 diabetes) but lacking overt IHD diagnosis and individuals with IHD at three distinct clinical stages—acute coronary syndrome, chronic IHD and IHD with heart failure—and characterized their phenome, gut metagenome and serum and urine metabolome. We found that about 75% of microbiome and metabolome features that distinguish individuals with IHD from healthy individuals after adjustment for effects of medication and lifestyle are present in individuals exhibiting dysmetabolism, suggesting that major alterations of the gut microbiome and metabolome might begin long before clinical onset of IHD. We further categorized microbiome and metabolome signatures related to prodromal dysmetabolism, specific to IHD in general or to each of its three subtypes or related to escalation or de-escalation of IHD. Discriminant analysis based on specific IHD microbiome and metabolome features could better differentiate individuals with IHD from healthy individuals or metabolically matched individuals as compared to the conventional risk markers, pointing to a pathophysiological relevance of these features. |
format | Online Article Text |
id | pubmed-8863577 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group US |
record_format | MEDLINE/PubMed |
spelling | pubmed-88635772022-03-23 Microbiome and metabolome features of the cardiometabolic disease spectrum Fromentin, Sebastien Forslund, Sofia K. Chechi, Kanta Aron-Wisnewsky, Judith Chakaroun, Rima Nielsen, Trine Tremaroli, Valentina Ji, Boyang Prifti, Edi Myridakis, Antonis Chilloux, Julien Andrikopoulos, Petros Fan, Yong Olanipekun, Michael T. Alves, Renato Adiouch, Solia Bar, Noam Talmor-Barkan, Yeela Belda, Eugeni Caesar, Robert Coelho, Luis Pedro Falony, Gwen Fellahi, Soraya Galan, Pilar Galleron, Nathalie Helft, Gerard Hoyles, Lesley Isnard, Richard Le Chatelier, Emmanuelle Julienne, Hanna Olsson, Lisa Pedersen, Helle Krogh Pons, Nicolas Quinquis, Benoit Rouault, Christine Roume, Hugo Salem, Joe-Elie Schmidt, Thomas S. B. Vieira-Silva, Sara Li, Peishun Zimmermann-Kogadeeva, Maria Lewinter, Christian Søndertoft, Nadja B. Hansen, Tue H. Gauguier, Dominique Gøtze, Jens Peter Køber, Lars Kornowski, Ran Vestergaard, Henrik Hansen, Torben Zucker, Jean-Daniel Hercberg, Serge Letunic, Ivica Bäckhed, Fredrik Oppert, Jean-Michel Nielsen, Jens Raes, Jeroen Bork, Peer Stumvoll, Michael Segal, Eran Clément, Karine Dumas, Marc-Emmanuel Ehrlich, S. Dusko Pedersen, Oluf Nat Med Article Previous microbiome and metabolome analyses exploring non-communicable diseases have paid scant attention to major confounders of study outcomes, such as common, pre-morbid and co-morbid conditions, or polypharmacy. Here, in the context of ischemic heart disease (IHD), we used a study design that recapitulates disease initiation, escalation and response to treatment over time, mirroring a longitudinal study that would otherwise be difficult to perform given the protracted nature of IHD pathogenesis. We recruited 1,241 middle-aged Europeans, including healthy individuals, individuals with dysmetabolic morbidities (obesity and type 2 diabetes) but lacking overt IHD diagnosis and individuals with IHD at three distinct clinical stages—acute coronary syndrome, chronic IHD and IHD with heart failure—and characterized their phenome, gut metagenome and serum and urine metabolome. We found that about 75% of microbiome and metabolome features that distinguish individuals with IHD from healthy individuals after adjustment for effects of medication and lifestyle are present in individuals exhibiting dysmetabolism, suggesting that major alterations of the gut microbiome and metabolome might begin long before clinical onset of IHD. We further categorized microbiome and metabolome signatures related to prodromal dysmetabolism, specific to IHD in general or to each of its three subtypes or related to escalation or de-escalation of IHD. Discriminant analysis based on specific IHD microbiome and metabolome features could better differentiate individuals with IHD from healthy individuals or metabolically matched individuals as compared to the conventional risk markers, pointing to a pathophysiological relevance of these features. Nature Publishing Group US 2022-02-17 2022 /pmc/articles/PMC8863577/ /pubmed/35177860 http://dx.doi.org/10.1038/s41591-022-01688-4 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Fromentin, Sebastien Forslund, Sofia K. Chechi, Kanta Aron-Wisnewsky, Judith Chakaroun, Rima Nielsen, Trine Tremaroli, Valentina Ji, Boyang Prifti, Edi Myridakis, Antonis Chilloux, Julien Andrikopoulos, Petros Fan, Yong Olanipekun, Michael T. Alves, Renato Adiouch, Solia Bar, Noam Talmor-Barkan, Yeela Belda, Eugeni Caesar, Robert Coelho, Luis Pedro Falony, Gwen Fellahi, Soraya Galan, Pilar Galleron, Nathalie Helft, Gerard Hoyles, Lesley Isnard, Richard Le Chatelier, Emmanuelle Julienne, Hanna Olsson, Lisa Pedersen, Helle Krogh Pons, Nicolas Quinquis, Benoit Rouault, Christine Roume, Hugo Salem, Joe-Elie Schmidt, Thomas S. B. Vieira-Silva, Sara Li, Peishun Zimmermann-Kogadeeva, Maria Lewinter, Christian Søndertoft, Nadja B. Hansen, Tue H. Gauguier, Dominique Gøtze, Jens Peter Køber, Lars Kornowski, Ran Vestergaard, Henrik Hansen, Torben Zucker, Jean-Daniel Hercberg, Serge Letunic, Ivica Bäckhed, Fredrik Oppert, Jean-Michel Nielsen, Jens Raes, Jeroen Bork, Peer Stumvoll, Michael Segal, Eran Clément, Karine Dumas, Marc-Emmanuel Ehrlich, S. Dusko Pedersen, Oluf Microbiome and metabolome features of the cardiometabolic disease spectrum |
title | Microbiome and metabolome features of the cardiometabolic disease spectrum |
title_full | Microbiome and metabolome features of the cardiometabolic disease spectrum |
title_fullStr | Microbiome and metabolome features of the cardiometabolic disease spectrum |
title_full_unstemmed | Microbiome and metabolome features of the cardiometabolic disease spectrum |
title_short | Microbiome and metabolome features of the cardiometabolic disease spectrum |
title_sort | microbiome and metabolome features of the cardiometabolic disease spectrum |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8863577/ https://www.ncbi.nlm.nih.gov/pubmed/35177860 http://dx.doi.org/10.1038/s41591-022-01688-4 |
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