ArticleNature medicine2022
Microbiome and metabolome features of the cardiometabolic disease spectrum.
Registry-linked trialOpen access · hybridAbstract read
In one paragraph
Article in Nature medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05334888 (Sex Hormone-specific Cardiovascular Risks in the Gut Microbiome-host Axis - A Longitudinal Cohort Study.), which is not on this map. Cited by 176 papers, 3 of them syntheses that pooled it.
0numbers the graph read from it
0cells of the map it votes in
176citing papers in PubMed, 3 pooled it
31.0field-weighted citation impact, top 1% of its field
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Sex Hormone-specific Cardiovascular Risks in the Gut Microbiome-host Axis - A Longitudinal Cohort Study.
Who cites it
176 citing papers in PubMed, 3 syntheses or guidelines pooled it, 270 citations in OpenAlex.
- A systematic review of molecular signaling in the muscle-brain-gut axis: exercise-induced myokines and microbial metabolites as key mediators.Molecular biology reports · 2026Pooled it
- Meta-analysis of 22,710 human microbiome metagenomes defines an oral-to-gut microbial enrichment score and associations with host health and disease.Nature communications · 2025Pooled it
- Causal relationships between hundreds of plasma metabolites and PTSD: a bidirectional mendelian randomization study.BMC psychiatry · 2025Pooled it
- Trial
- Gut-derived bacterial extracellular vesicles: the microbial dark matter contributing to host inflammation and cardiometabolic disease.Gut microbes · 2026Review
- Eggerthella lenta: metabolism, pathogenesis and therapeutic implications.Nature reviews. Microbiology · 2026Review
- Profiling Gut Microbiome and Metabolites Aids Diagnosis and Prediction of Progression in Mild Cognitive Impairment.MedComm · 2026Article
- Gut microbiome shifts in chronic systolic heart failure are associated with disease severity and clinical improvement.Nature cardiovascular research · 2026Article
- Ethnic cardiovascular disparities and lipidomic signatures in Chinese children: insights from a historical national survey and a contemporary regional cohort.Hypertension research : official journal of the Japanese Society of Hypertension · 2026Article
- The Role of the Gut Microbiome in the Relationship Between the Mediterranean Diet and Cardiovascular Disease Risk.Current atherosclerosis reports · 2026Review
- Gut microbiota composition outperforms chronological age in predicting systemic inflammation and incident disease risk.Nature communications · 2026Article
- Differential analysis of microbial interaction networks.Briefings in bioinformatics · 2026Article
- The gut-heart axis in cardio-oncology.Cardiovascular research · 2026Review
- Targeting the Gut-Heart Axis in Atherosclerosis: Microbial Metabolites, Molecular Mechanisms, and Precision Therapeutics.Probiotics and antimicrobial proteins · 2026Review
- A historical journey of metabolite-protein interaction discovery: from data harmonization to AI-driven prediction.Briefings in bioinformatics · 2026Review
- Prevalence aware feature selection improves biomarker identification in microbiome studies.Bioinformatics (Oxford, England) · 2026Article
- Dietary fat alters goblet cell function and microbial bile acid metabolism to promote intestinal lipid absorption in mice.Nature microbiology · 2026Article
- Gestational diabetes mellitus and maternal-infant microbiome axis: mechanistic insights and therapeutic interventions.Journal of translational medicine · 2026Review
- Association between gut microbiota diet index and cardiovascular disease in US adults: a cross-sectional study of NHANES 2007-2018.BMC cardiovascular disorders · 2026Article
- Host-Microbiota Metabolic Interactions in Atherosclerosis: Oral, gut, and Blood Perspectives.Probiotics and antimicrobial proteins · 2026Review
116 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
64 authors at 17 institutions in 8 countries.
Sebastien Fromentin *MetaGenoPolis, INRAe, AgroParisTech, Université Paris-Saclay, Paris, France.
Sofia K Forslund *Structural and Computational Biology, European Molecular Biology Laboratory, Heidelberg, Germany.ORCID http://orcid.org/0000-0003-4285-6993
Kanta Chechi *Section of Biomolecular Medicine, Division of Systems Medicine, Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, UK.
Judith Aron-Wisnewsky *Sorbonne Université, INSERM, Nutrition and obesities; systemic approaches (NutriOmics), Paris, France.
Rima Chakaroun *Medical Department III - Endocrinology, Nephrology, Rheumatology, University of Leipzig Medical Center, Leipzig, Germany.
Trine Nielsen *Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.ORCID http://orcid.org/0000-0002-2066-7895
Valentina TremaroliThe Wallenberg Laboratory, Department of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Boyang JiDepartment of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden.ORCID http://orcid.org/0000-0002-7269-4342
Edi PriftiSorbonne Université, INSERM, Nutrition and obesities; systemic approaches (NutriOmics), Paris, France.ORCID http://orcid.org/0000-0001-8861-1305
Antonis MyridakisSection of Biomolecular Medicine, Division of Systems Medicine, Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, UK.ORCID http://orcid.org/0000-0003-1690-6651
Julien ChillouxSection of Biomolecular Medicine, Division of Systems Medicine, Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, UK.ORCID http://orcid.org/0000-0002-0384-7317
Petros AndrikopoulosSection of Biomolecular Medicine, Division of Systems Medicine, Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, UK.
Yong FanNovo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.ORCID http://orcid.org/0000-0003-4813-7017
Michael T OlanipekunSection of Biomolecular Medicine, Division of Systems Medicine, Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, UK.
Renato AlvesStructural and Computational Biology, European Molecular Biology Laboratory, Heidelberg, Germany.ORCID http://orcid.org/0000-0002-7212-0234
Solia AdiouchSorbonne Université, INSERM, Nutrition and obesities; systemic approaches (NutriOmics), Paris, France.
Noam BarDepartment of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel.
Yeela Talmor-BarkanDepartment of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel.
Eugeni BeldaSorbonne Université, INSERM, Nutrition and obesities; systemic approaches (NutriOmics), Paris, France.
Robert CaesarThe Wallenberg Laboratory, Department of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.ORCID http://orcid.org/0000-0003-1017-2933
Luis Pedro CoelhoStructural and Computational Biology, European Molecular Biology Laboratory, Heidelberg, Germany.
Gwen FalonyLaboratory of Molecular Bacteriology, Department of Microbiology and Immunology, Rega Institute, KU Leuven, Leuven, Belgium.
Soraya FellahiAssistance Publique-Hôpitaux de Paris, Hôpitaux Universitaires Henri Mondor, Département de biochimie-pharmacologie-biologie moléculaire-génétique médicale, Créteil, France.
Pilar GalanMetaGenoPolis, INRAe, AgroParisTech, Université Paris-Saclay, Paris, France.
Nathalie GalleronMetaGenoPolis, INRAe, AgroParisTech, Université Paris-Saclay, Paris, France.
Gerard HelftAssistance Publique Hôpitaux de Paris, Pitié-Salpêtrière Hospital, Cardiology Department, Paris, France.
Lesley HoylesSection of Biomolecular Medicine, Division of Systems Medicine, Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, UK.ORCID http://orcid.org/0000-0002-6418-342X
Richard IsnardAssistance Publique Hôpitaux de Paris, Pitié-Salpêtrière Hospital, Cardiology Department, Paris, France.
Emmanuelle Le ChatelierMetaGenoPolis, INRAe, AgroParisTech, Université Paris-Saclay, Paris, France.ORCID http://orcid.org/0000-0002-2724-0536
Hanna JulienneMetaGenoPolis, INRAe, AgroParisTech, Université Paris-Saclay, Paris, France.
Lisa OlssonThe Wallenberg Laboratory, Department of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.ORCID http://orcid.org/0000-0001-9730-1915
Helle Krogh PedersenNovo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
Nicolas PonsMetaGenoPolis, INRAe, AgroParisTech, Université Paris-Saclay, Paris, France.
Benoit QuinquisMetaGenoPolis, INRAe, AgroParisTech, Université Paris-Saclay, Paris, France.
Christine RouaultSorbonne Université, INSERM, Nutrition and obesities; systemic approaches (NutriOmics), Paris, France.
Hugo RoumeMetaGenoPolis, INRAe, AgroParisTech, Université Paris-Saclay, Paris, France.
Joe-Elie SalemAP-HP, Pitié-Salpêtrière Hospital, Department of Pharmacology, UNICO Cardio-oncology Program, CIC-1421; INSERM, Sorbonne Université, Paris, France.ORCID http://orcid.org/0000-0002-0331-3307
Thomas S B SchmidtStructural and Computational Biology, European Molecular Biology Laboratory, Heidelberg, Germany.ORCID http://orcid.org/0000-0001-8587-4177
Sara Vieira-SilvaLaboratory of Molecular Bacteriology, Department of Microbiology and Immunology, Rega Institute, KU Leuven, Leuven, Belgium.ORCID http://orcid.org/0000-0002-4616-7602
Peishun LiDepartment of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden.ORCID http://orcid.org/0000-0003-4200-0474
Maria Zimmermann-KogadeevaStructural and Computational Biology, European Molecular Biology Laboratory, Heidelberg, Germany.ORCID http://orcid.org/0000-0001-6021-1246
Christian LewinterDepartment of Cardiology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark.
Nadja B SøndertoftNovo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.ORCID http://orcid.org/0000-0001-6350-8117
Tue H HansenNovo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.ORCID http://orcid.org/0000-0001-5948-8993
Dominique GauguierUniversité de Paris, INSERM UMR 1124, Paris, France.
Jens Peter GøtzeDepartment of Clinical Biochemetry, Rigshopitalet, University of Copenhagen, Copenhagen, Denmark.
Lars KøberDepartment of Cardiology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark.ORCID http://orcid.org/0000-0002-6635-1466
Ran KornowskiDepartment of Cardiology, Rabin Medical Center, Petah Tikva, Israel.
Henrik VestergaardNovo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.ORCID http://orcid.org/0000-0003-3090-269X
Torben HansenNovo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.ORCID http://orcid.org/0000-0001-8748-3831
Jean-Daniel ZuckerSorbonne Université, INSERM, Nutrition and obesities; systemic approaches (NutriOmics), Paris, France.
Serge HercbergSorbonne Paris Cité Epidemiology and Statistics Research Centre (CRESS), U1153 Inserm, U1125, Inra, Cnam, University of Paris 13, Nutritional Epidemiology Research Team (EREN), Bobigny, France.
Ivica LetunicBiobyte Solutions GmbH, Heidelberg, Germany.
Fredrik BäckhedNovo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
Jean-Michel OppertAssistance Publique Hôpitaux de Paris, Pitié-Salpêtrière Hospital, Nutrition Department, Paris, France.
Jens NielsenDepartment of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden.ORCID http://orcid.org/0000-0002-9955-6003
Jeroen RaesLaboratory of Molecular Bacteriology, Department of Microbiology and Immunology, Rega Institute, KU Leuven, Leuven, Belgium.
Peer BorkStructural and Computational Biology, European Molecular Biology Laboratory, Heidelberg, Germany.
Michael StumvollMedical Department III - Endocrinology, Nephrology, Rheumatology, University of Leipzig Medical Center, Leipzig, Germany.
Eran SegalDepartment of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel.ORCID http://orcid.org/0000-0002-6859-1164
Karine ClémentSorbonne Université, INSERM, Nutrition and obesities; systemic approaches (NutriOmics), Paris, France. karine.clement@inserm.fr.ORCID http://orcid.org/0000-0002-2489-3355
Marc-Emmanuel DumasSection of Biomolecular Medicine, Division of Systems Medicine, Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, UK. m.dumas@imperial.ac.uk.ORCID http://orcid.org/0000-0001-9523-7024
S Dusko EhrlichMetaGenoPolis, INRAe, AgroParisTech, Université Paris-Saclay, Paris, France. s.ehrlich@ucl.ac.uk.ORCID http://orcid.org/0000-0002-7563-4046
Oluf PedersenNovo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark. oluf@sund.ku.dk.ORCID http://orcid.org/0000-0002-3321-3972
University of Copenhagen · DKInserm · FRAgroParisTech · FREuropean Molecular Biology Laboratory · DEImperial College London · GBChalmers University of Technology · SERega Institute for Medical Research · BESorbonne Université · FRUniversity of Gothenburg · SEWeizmann Institute of Science · ILAssistance Publique – Hôpitaux de Paris · FRBiobyte Solutions (Germany) · DECentre National de la Recherche Scientifique · FRMax Delbrück Center · DERabin Medical Center · ILSt Mary's Hospital · GBTel Aviv University · IL
Funding
Department of HealthMedical Research Council MR/L01632X/1Medical Research Council MR/S020039/1Wellcome TrustWellcome Trust 204834/Z/16/Z
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.
Indexed as
Cardiovascular DiseasesDiabetes Mellitus, Type 2MicrobiotaHumansLongitudinal StudiesMetabolomeMiddle Aged
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Read underepoch 390
Registered trials
NCT05334888ClinicalTrials.gov
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.