Cross-omics analysis revealed gut microbiome-related metabolic pathways underlying atherosclerosis development after antibiotics treatment

Publikation: Beitrag in FachzeitschriftForschungsartikelBeigetragenBegutachtung

Beitragende

  • Ben Arpad Kappel - , Rheinisch-Westfälische Technische Hochschule Aachen, University of Rome Tor Vergata (Autor:in)
  • Lorenzo De Angelis - , University of Rome Tor Vergata (Autor:in)
  • Michael Heiser - , Metabolomic Discoveries GmbH, Metabolon (Autor:in)
  • Marta Ballanti - , Policlinico Tor Vergata (Autor:in)
  • Robert Stoehr - , Universitätsklinikum Aachen (Autor:in)
  • Claudia Goettsch - , Universitätsklinikum Aachen (Autor:in)
  • Maria Mavilio - , University of Rome Tor Vergata (Autor:in)
  • Anna Artati - , Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt (Autor:in)
  • Omero A Paoluzi - , Policlinico Tor Vergata (Autor:in)
  • Jerzy Adamski - , Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt, Technische Universität München, Deutsches Zentrum für Diabetesforschung (DZD) e.V., National University of Singapore (Autor:in)
  • Geltrude Mingrone - , Università Cattolica del Sacro Cuore, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, King's College London (KCL) (Autor:in)
  • Bart Staels - , Université de Lille, Centre Hospitalier Universitaire (CHU) de Lille, Institut Pasteur de Lille (Autor:in)
  • Remy Burcelin - , Université de Toulouse (Autor:in)
  • Giovanni Monteleone - , Policlinico Tor Vergata (Autor:in)
  • Rossella Menghini - , University of Rome Tor Vergata (Autor:in)
  • Nikolaus Marx - , Universitätsklinikum Aachen (Autor:in)
  • Massimo Federici - , Policlinico Tor Vergata (Autor:in)

Abstract

OBJECTIVE: The metabolic influence of gut microbiota plays a pivotal role in the pathogenesis of cardiometabolic diseases. Antibiotics affect intestinal bacterial diversity, and long-term usage has been identified as an independent risk factor for atherosclerosis-driven events. The aim of this study was to explore the interaction between gut dysbiosis by antibiotics and metabolic pathways with the impact on atherosclerosis development.

METHODS: We combined oral antibiotics with different diets in an Apolipoprotein E-knockout mouse model linking gut microbiota to atherosclerotic lesion development via an integrative cross-omics approach including serum metabolomics and cecal 16S rRNA targeted metagenomic sequencing. We further investigated patients with carotid atherosclerosis compared to control subjects with comparable cardiovascular risk.

RESULTS: Here, we show that increased atherosclerosis by antibiotics was connected to a loss of intestinal diversity and alterations of microbial metabolic functional capacity with a major impact on the host serum metabolome. Pathways that were modulated by antibiotics and connected to atherosclerosis included diminished tryptophan and disturbed lipid metabolism. These pathways were related to the reduction of certain members of Bacteroidetes and Clostridia by antibiotics in the gut. Patients with atherosclerosis presented a similar metabolic signature as those induced by antibiotics in our mouse model.

CONCLUSION: Taken together, this work provides insights into the complex interaction between intestinal microbiota and host metabolism. Our data highlight that detrimental effects of antibiotics on the gut flora are connected to a pro-atherogenic metabolic phenotype beyond classical risk factors.

Details

OriginalspracheEnglisch
Aufsatznummer100976
FachzeitschriftMolecular metabolism
Jahrgang36
PublikationsstatusVeröffentlicht - Juni 2020
Peer-Review-StatusJa
Extern publiziertJa

Externe IDs

PubMedCentral PMC7183232
Scopus 85083499712
ORCID /0000-0002-7973-1329/work/184443324

Schlagworte

Schlagwörter

  • Aged, Animals, Anti-Bacterial Agents/metabolism, Atherosclerosis/metabolism, Bacteria/genetics, Cecum/microbiology, Disease Progression, Feces, Female, Gastrointestinal Microbiome/drug effects, Humans, Male, Metabolic Networks and Pathways, Metabolome, Metabolomics/methods, Mice, Mice, Knockout, ApoE, Middle Aged, RNA, Ribosomal, 16S/genetics, Serum/chemistry