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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group US 2022
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.
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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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