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TRANSLATIONAL SIGNED

A new translational strategy for tailored treatment of type 2 diabetes

Total Cost €

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EC-Contrib. €

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Partnership

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 TRANSLATIONAL project word cloud

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

pathophysiology    questions    escalating    physiology    bioinformatics    starting    insulin    type    complications    pronounced    medicine    whilst    mechanistic    microbiota    anti    gene    diabetic    variability    clusters    prevention    expression    patient    sulforaphane    clinical    respectively    methodology    compounds    expand    trial    disease    pointing    causes    leads    treatment    firmly    disciplinary    demonstration    point    dedifferentiate    extends    combined    influenced    proposition    fashion    attempted    pathophysiological    previously    poor    understand    central    devastating    ultimately    characterised    intervention    diabetes    functional    relevance    resistance    cells    secretory    emphasise    unable    error    builds    strategies    preservation    enormous    training    health    proportions    severe    progression    t2d    insights    unusual    patients    guidelines    metabolic    personalized    secretion    stop    prevent    found    conduct    underlying    archetypes    cell    ideally    gut    divided    drugs   

Project "TRANSLATIONAL" 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˙957˙230 €
 EC max contribution 1˙957˙230 € (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 2020-10-01   to  2025-09-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    GOETEBORGS UNIVERSITET SE (GOETEBORG) coordinator 1˙957˙230.00

Map

 Project objective

Type 2 diabetes (T2D) is an escalating health problem of enormous proportions. Current treatment strategies are unable to stop disease progression and prevent the devastating complications. Clinical guidelines emphasise the need for personalized treatment. However, this is currently implemented on trial-and-error fashion. We have recently found that T2D patients can be divided into four clusters, each with different characteristics. This represents a major step forward by pointing out the high variability of the pathophysiology and leads us to propose that anti-diabetic treatment should ideally target the underlying pathophysiology of each patient. The overall goal is to test this proposition by targeting existing and new treatment to patients who are archetypes of the two most severe T2D clusters, characterised by poor insulin secretion and pronounced insulin resistance, respectively. As a starting point, we will study how treatment response to existing drugs is influenced by pathophysiological features and also the gut microbiota. Next, we will expand on our recent demonstration that b-cells dedifferentiate in T2D and define the functional and gene expression changes that cause secretory failure. These mechanistic insights will be used to identify new targets for b-cell preservation, which is essential to stop disease progression, in particular in patients with poor secretion. Finally, we will study new compounds for tailored treatment, including sulforaphane as an early intervention for those with severe insulin resistance. My combined training in cell-physiology, bioinformatics and clinical medicine is unusual but necessary to conduct this multi-disciplinary programme. Whilst the programme builds firmly on my past research, it extends far beyond what I have attempted previously by exploiting novel state-of-the-art methodology to address central metabolic questions of high relevance to understand the causes, management and – ultimately – prevention of diabetes.

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

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