Microbiome and metabolome features of the cardiometabolic disease spectrum
File | Description | Size | Format | |
---|---|---|---|---|
![]() | File embargoed for 6 months after publication date | 10.24 MB | Adobe PDF |
Title: | Microbiome and metabolome features of the cardiometabolic disease spectrum |
Authors: | Fromentin, S Forslund, SK Chechi, K Aron-Wisnewsky, J Chakaroun, R Nielsen, T Tremaroli, V Ji, B Prifti, E Myridakis, A Chilloux, J Andrikopoulos, P Fan, Y Olanipekun, MT Alves, R Adiouch, S Bar, N Talmor-Barkan, Y Belda, E Caesar, R Coelho, LP Falony, G Fellahi, S Galan, P Galleron, N Helft, G Hoyles, L Isnard, R Le Chatelier, E Julienne, H Olsson, L Pedersen, HK Pons, N Quinquis, B Rouault, C Roume, H Salem, J-E Schmidt, TSB Vieira-Silva, S Li, P Zimmermann-Kogadeeva, M Lewinter, C Sondertoft, NB Hansen, TH Gauguier, D Gotze, JP Kober, L Kornowski, R Vestergaard, H Hansen, T Zucker, J-D Hercberg, S Letunic, I Backhed, F Oppert, J-M Nielsen, J Raes, J Bork, P Stumvoll, M Segal, E Clement, K Dumas, M-E Ehrlich, SD Pedersen, O |
Item Type: | Journal Article |
Abstract: | 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. |
Issue Date: | 17-Feb-2022 |
Date of Acceptance: | 7-Jan-2022 |
URI: | http://hdl.handle.net/10044/1/96664 |
DOI: | 10.1038/s41591-022-01688-4 |
ISSN: | 1078-8956 |
Publisher: | Nature Research |
Start Page: | 303 |
End Page: | + |
Journal / Book Title: | Nature Medicine |
Volume: | 28 |
Issue: | 2 |
Copyright Statement: | 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/. © The Author(s) 2022 |
Sponsor/Funder: | Commission of the European Communities Wellcome Trust Imperial College Healthcare NHS Trust- BRC Funding |
Funder's Grant Number: | 305312 204834/Z/16/Z RDF01 |
Keywords: | Science & Technology Life Sciences & Biomedicine Biochemistry & Molecular Biology Cell Biology Medicine, Research & Experimental Research & Experimental Medicine CORONARY-ARTERY-DISEASE GUT MICROBIOTA P-CRESOL HEART RISK IMPACT SERUM SIGNATURES PLASMA HEALTH Cardiovascular Diseases Diabetes Mellitus, Type 2 Humans Longitudinal Studies Metabolome Microbiota Middle Aged Humans Cardiovascular Diseases Diabetes Mellitus, Type 2 Longitudinal Studies Middle Aged Metabolome Microbiota Science & Technology Life Sciences & Biomedicine Biochemistry & Molecular Biology Cell Biology Medicine, Research & Experimental Research & Experimental Medicine CORONARY-ARTERY-DISEASE GUT MICROBIOTA P-CRESOL HEART RISK IMPACT SERUM SIGNATURES PLASMA HEALTH 11 Medical and Health Sciences Immunology |
Publication Status: | Published |
Online Publication Date: | 2022-02-17 |
Appears in Collections: | Department of Metabolism, Digestion and Reproduction Department of Surgery and Cancer National Heart and Lung Institute |
This item is licensed under a Creative Commons License