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The MATRIX SIGNED

Inflammatory resolution and remodelling of the adipose extracellular matrix: key determinants of a metabolically healthy phenotype?

Total Cost €

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EC-Contrib. €

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Partnership

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 The MATRIX project word cloud

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

ultimately    data    followed    pipelines    disease    serious    diabetes    consists    obesity    switch    matrix    protein    subgroups    health    translational    endogenous    lipids    certain    differentiate    affiliated    lines    cutting    specialised    techniques    urgently    healthy    biobanks    lab    therapeutic    driver    right    vivo    burden    inflammation    phenotypes    that    drug    me    combines    preliminary    patient    trials    coupled    resolving    socio    pro    separates    protected    lean    halt    edge    anti    reduce    mul    regulated    limited    groups    bioinformatics    inflammatory    comorbidities    molecular    diseases    candidate    appears    distinguishes    generate    pose    metabolite    biology    disciplinary    attempting    human    adipose    site    mhl    triggers    drugs    clinical    fingerprints    resolve    unhealthy    respective    critical    individuals    metabolically    lipid    public    extracellular    obese    hypothesise    cell    economic    metabolic    understand    appear    tackle    placement    remodelling    ex    mho    muo    cells   

Project "The MATRIX" data sheet

The following table provides information about the project.

Coordinator
GOETEBORGS UNIVERSITET 

Organization address
address: VASAPARKEN
city: GOETEBORG
postcode: 405 30
website: www.gu.se

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 Sweden [SE]
 Total cost 1˙700˙002 €
 EC max contribution 1˙700˙002 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2018-STG
 Funding Scheme ERC-STG
 Starting year 2019
 Duration (year-month-day) from 2019-09-01   to  2024-08-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    GOETEBORGS UNIVERSITET SE (GOETEBORG) coordinator 1˙700˙002.00

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 Project objective

Obesity and its affiliated metabolic diseases pose serious public-health challenges. However, certain patient subgroups appear protected. To halt the socio-economic burden of metabolic disease, we urgently need to understand what distinguishes the Metabolically-Healthy-Lean (MHL), Metabolically-Unhealthy-Lean (MUL), Metabolically-Healthy-Obese (MHO) and Metabolically-Unhealthy-Obese (MUO) phenotypes, and which factors promote metabolic health. Inflammation has been proposed as a target, as it is a key driver of metabolic disease. However, clinical trials show limited evidence that anti-inflammatory drugs reduce diabetes. Why is that?

Inflammation consists of a pro-inflammatory phase followed by a pro-resolving phase, which are regulated by different cells/pathways. This is critical to consider when attempting a therapeutic approach. Based on my preliminary data, I hypothesise that what separates MHL/MHO from MUL/MUO are not pro-inflammatory triggers, but rather the endogenous ability of individuals to resolve inflammation. Adipose extracellular-matrix remodelling appears critical, and pro-resolving lipids promote a MUO-to-MHO switch.

My overall goal is to determine molecular pathways that differentiate the MHL/MUL/MHO/MUO phenotypes (Aim 1-4), and to investigate the therapeutic potential of pro-resolving lipids (Aim 5). This multi-disciplinary project combines cutting-edge techniques with state-of-the-art translational approaches. Through my unique access to human biobanks, I will generate patient-specific cell-lines and test drug-targets ex vivo. Novel bioinformatics pipelines will produce protein/lipid/metabolite fingerprints associated with respective patient groups, ultimately providing a new approach to tackle obesity-related comorbidities. My experience in the specialised field of pro-resolving lipid biology, coupled with my lab’s unique placement at a translational site, makes me the right candidate to lead this research program.

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

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