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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. €

0

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.

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

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

Map

 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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