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SMA-TB SIGNED

A novel Stratified Medicine Algorithm to predict treatment responses to host-directed therapy in TB patients.

Total Cost €

0

EC-Contrib. €

0

Partnership

0

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 SMA-TB project word cloud

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

therapies    therapy    course    threatening    data    medical    costly    predict    highest    sma    faster    stages    directed    inflammatory    bad    ct    sequelae    personalize    thanks    aspirin    chronic    validate    protocol    relevance    strain    personalized    treatment    outcomes    therapeutic    differ    severity    decrease    disease    host    infective    mdr    medicine    trials    potentially    resistance    tremendous    infectious    generate    physicians    intervention    forms    mathematical    tuberculosis    standard    science    biomarkers    prevalence    lung    individualized    adjunct    tb    resistant    risk    clinically    stratify    world    permanent    effect    cure    life    regimen    sensitive    shorten    network    benefit    predicting    damage    clinical    reduce    responsible    patients    drug    stratifying    ds    hdt    susceptibility    anti    region    pathogen    integrating    worse    poses    hyperinflammation    tissue    add    length    algorithm    health    generating   

Project "SMA-TB" data sheet

The following table provides information about the project.

Coordinator
INSTITUT DE INVESTIGACIO EN CIENCIES DE LA SALUT GERMANS TRIAS I PUJOL 

Organization address
address: CTRA DE CANYET S/N
city: BADALONA BARCELONA
postcode: 8916
website: n.a.

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 Spain [ES]
 Total cost 6˙388˙104 €
 EC max contribution 6˙388˙104 € (100%)
 Programme 1. H2020-EU.3.1.3. (Treating and managing disease)
 Code Call H2020-SC1-2019-Two-Stage-RTD
 Funding Scheme RIA
 Starting year 2020
 Duration (year-month-day) from 2020-01-01   to  2024-06-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    INSTITUT DE INVESTIGACIO EN CIENCIES DE LA SALUT GERMANS TRIAS I PUJOL ES (BADALONA BARCELONA) coordinator 1˙632˙750.00
2    WITS HEALTH CONSORTIUM (PTY) LTD ZA (Johannesburg) participant 1˙107˙324.00
3    OSLO UNIVERSITETSSYKEHUS HF NO (OSLO) participant 840˙125.00
4    CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS FR (PARIS) participant 656˙910.00
5    NATIONAL CENTER FOR TUBERCULOSIS AND LUNG DISEASES JSC GE (TBILISI) participant 646˙016.00
6    ACADEMISCH ZIEKENHUIS LEIDEN NL (LEIDEN) participant 612˙563.00
7    ANAXOMICS BIOTECH SL ES (BARCELONA) participant 428˙250.00
8    TES2A EUROPE CONSULTING AND BUSINESS DEVELOPMENT SL ES (SANT QUIRZE DEL VALLES) participant 339˙260.00
9    LIONEX GMBH DE (BRAUNSCHWEIG) participant 124˙905.00

Map

 Project objective

Tuberculosis (TB) is a chronic, life-threatening infectious disease which poses a tremendous challenge for physicians, researchers and Health Systems, which treatment is long, based only on the drug susceptibility of the responsible infective strain and very costly in drug-resistant cases (MDR-TB). The European Region still has the highest prevalence of MDR-TB in the world. Host-Directed Therapies (HDT) have been recently proposed to shorten treatment length and by to improve the patients’ outcomes while not increasing the risk of generating drug resistance. As hyperinflammation is responsible of the lung damage associated to patients’ worse outcomes and sequelae, one of the approaches is to add an HDT with anti-inflammatory effect to the current drug regimen to cure the patients faster while having less permanent lung damage. Because TB has a wide range of clinical forms and severity stages, any therapeutic regimen needs to be studied in clinical trials (CT) as its benefit might differ among patients. No individualized personalized medicine is possible without stratifying the patients by integrating pathogen and host factors that will predict the course of the disease and the response to the intervention. SMA-TB objectives are: • To evaluate in a CT the potential impact of aspirin (an anti-inflammatory HDT) as adjunct to standard therapy for drug sensitive (DS-) and MDR-TB. This potentially will reduce tissue damage, decrease the length of the treatment and the risk of bad outcomes. • To identify and clinically validate host and pathogen biomarkers for further selection according to their relevance in terms of their ability to predict TB course and outcomes and response to treatment thanks to data science protocol. • To generate a medical algorithm to stratify patients using network-based mathematical modelling for predicting the course of the disease and its response to the intervention, to be applied during clinical management to improve and personalize TB

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The information about "SMA-TB" are provided by the European Opendata Portal: CORDIS opendata.

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