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ExpoBiome SIGNED

Deciphering the impact of exposures from the gut microbiome-derived molecular complex in human health and disease

Total Cost €


EC-Contrib. €






 ExpoBiome project word cloud

Explore the words cloud of the ExpoBiome project. It provides you a very rough idea of what is the project "ExpoBiome" about.

outcomes    individuals    track    combination    disease    functional    insights    prior    diagnostic    metabolites    first    gap    collected    anti    models    expobiome    peptides    poly    inflammatory    constituents    levels    inflammation    immune    compounds    characterised    model    effector    newly    clinical    predict    interactions    samples    diagnosed    ecosystem    chip    gut    systematic    relationships    resolution    microbes    physiology    machine    causal    arthritis    intervention    generate    mechanistic    pd    patients    treatment    biomarker    eluded    genes    comprising    integrate    functions    omic    quantitative    contributes    limiting    basis    parkinson    data    personalised    diseases    host    contextualised    proteins    ra    rheumatoid    chronic    microbiome    screened    microbial    perform    therapeutic    fasting    learning    validate    comprehensively    unknown    signature    time    humix    molecules    autoimmune    immunophenotypes    molecular    base    healthy    elucidation    nucleic    neurodegenerative    acids    health    map    human   

Project "ExpoBiome" data sheet

The following table provides information about the project.


Organization address
postcode: 4365

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Luxembourg [LU]
 Total cost 1˙998˙620 €
 EC max contribution 1˙998˙620 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2019-COG
 Funding Scheme ERC-COG
 Starting year 2020
 Duration (year-month-day) from 2020-05-01   to  2025-04-30


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITE DU LUXEMBOURG LU (ESCH-SUR-ALZETTE) coordinator 1˙998˙620.00


 Project objective

The human gut microbiome is a complex ecosystem, which contributes essential functions to human physiology. Changes to the microbiome are associated with several chronic diseases characterised by inflammation, including neurodegenerative and autoimmune diseases. Microbiome-derived effector molecules comprising nucleic acids, (poly)peptides and metabolites are present at high levels in the gut but have so far eluded systematic study. This gap in knowledge is limiting mechanistic understanding of the microbiome’s functional impact on chronic diseases such as Parkinson’s disease (PD) and rheumatoid arthritis (RA). Here, I will for the first time integrate a combination of advanced high-resolution methodologies to comprehensively identify the constituents of this molecular complex and their impact on the human immune system. First, I will perform a quantitative, integrated multi-omic analysis on microbiome samples collected from healthy individuals and patients with newly diagnosed PD or RA. I will integrate and analyse the data using a newly developed knowledge base. Using contextualised prior knowledge (ExpoBiome Map) and machine learning methods, I will identify microbial molecules associated with condition-specific immunophenotypes. Second, I will validate and track the biomarker signature during a model clinical intervention (therapeutic fasting) to predict treatment outcomes. Third, microbes and molecules will be screened in personalised HuMiX gut-on-chip models to identify novel anti-inflammatory compounds. By providing mechanistic insights into the molecular basis of human-microbiome interactions, the project will generate essential new knowledge about causal relationships between the gut microbiome and the immune system in health and disease. By facilitating the elucidation of currently unknown microbiome-derived molecules, it will identify new genes, proteins, metabolites and host pathways for the development of future diagnostic and therapeutic applications.

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The information about "EXPOBIOME" are provided by the European Opendata Portal: CORDIS opendata.

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