Opendata, web and dolomites

INTEGRATE SIGNED

Personalised Medicine for Intervertebral Disc Regeneration- Integrating Profiling, Predictive Modelling and Gene Activated Biomaterials

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

Project "INTEGRATE" data sheet

The following table provides information about the project.

Coordinator
THE PROVOST, FELLOWS, FOUNDATION SCHOLARS & THE OTHER MEMBERS OF BOARD OF THE COLLEGE OF THE HOLY & UNDIVIDED TRINITY OF QUEEN ELIZABETH NEAR DUBLIN 

Organization address
address: College Green
city: DUBLIN
postcode: 2
website: www.tcd.ie

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 Ireland [IE]
 Total cost 1˙999˙543 €
 EC max contribution 1˙999˙543 € (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 2020-09-01   to  2025-08-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    THE PROVOST, FELLOWS, FOUNDATION SCHOLARS & THE OTHER MEMBERS OF BOARD OF THE COLLEGE OF THE HOLY & UNDIVIDED TRINITY OF QUEEN ELIZABETH NEAR DUBLIN IE (DUBLIN) coordinator 1˙754˙543.00
2    UNIVERSITY COLLEGE DUBLIN, NATIONAL UNIVERSITY OF IRELAND, DUBLIN IE (DUBLIN) participant 245˙000.00

Map

 Project objective

Lower back pain is a global epidemiological and socioeconomic problem. Biomaterial and cell-based therapies have been pursued for the treatment of degenerated intervertebral disc (IVD), with a number of clinical trials underway. However, the degenerated intervertebral disc has a distinct environment (e.g. altered oxygen, glucose, acidity, inflammatory cytokine levels) that is unique to an individual (i.e. patient-specific) and will ultimately determine the likelihood and rate at which regeneration can occur. A “one size fits all” approach will lead to the failure to demonstrate efficacy of advanced therapies, as they are not being designed or personalised for individual patients. This proposal envisions a future whereby advanced gene activated cell therapies are personalised (targeting regeneration or modulating inflammation) to treat back pain based on knowing the individuals unique disc microenvironment. This will be achieved through profiling of individual patient disc microenvironmental factors, with in vitro screening and in silico modelling to design cell therapies and predict regeneration outcomes (Aim 1) combined with the development of tailored functionalised gene activated biomaterials (Aim 2), to enhance matrix formation and modulate the inflammatory processes (Aim 3). Gene-based therapy offers several advantages over direct delivery of proteins or small molecules, among them the possibility of sustained efficacy and endogenous synthesis of growth factors or suppression of inflammatory factors and pathways. The platform technology (personalised gene activated biomaterials to regulate regeneration and inflammation) and knowledge (tailoring cell therapies to suit patient-specific microenvironments) generated through this research are beyond the current state-of-the-art and will provide a significant transformative scientific and clinical step change opening new horizons in minimally-invasive therapeutic strategies.

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "INTEGRATE" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

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

More projects from the same programme (H2020-EU.1.1.)

MajoranasAreReal (2019)

Search for mechanisms to control chiral Majorana modes in superconductors

Read More  

FatVirtualBiopsy (2020)

MRI toolkit for in vivo fat virtual biopsy

Read More  

Mu-MASS (2019)

Muonium Laser Spectroscopy

Read More