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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.

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

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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