SYSMALVAC

Identifying correlates of protection to accelerate vaccine trials: systems evaluation of two models of experimentally-induced immunity to malaria

 Coordinatore FUNDACIO CENTRE DE RECERCA EN SALUT INTERNATIONAL DE BARCELONA 

 Organization address address: CALLE VILLARROEL 170
city: Barcelona
postcode: 8036

contact info
Titolo: Dr.
Nome: Carlota
Cognome: Dobaño
Email: send email
Telefono: 34932279892

 Nazionalità Coordinatore Spain [ES]
 Totale costo 3˙635˙594 €
 EC contributo 2˙803˙651 €
 Programma FP7-HEALTH
Specific Programme "Cooperation": Health
 Code Call FP7-HEALTH-2012-INNOVATION-1
 Funding Scheme CP-FP
 Anno di inizio 2013
 Periodo (anno-mese-giorno) 2013-01-01   -   2014-12-31

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    FUNDACIO CENTRE DE RECERCA EN SALUT INTERNATIONAL DE BARCELONA

 Organization address address: CALLE VILLARROEL 170
city: Barcelona
postcode: 8036

contact info
Titolo: Dr.
Nome: Carlota
Cognome: Dobaño
Email: send email
Telefono: 34932279892

ES (Barcelona) coordinator 711˙450.10
2    PROGENIKA BIOPHARMA SA

 Organization address address: "Parque Tecnologico de Zamudio, Edificio 801 -A-, Planta 2"
city: DERIO - VIZCAYA
postcode: 48160

contact info
Titolo: Mr.
Nome: Gorka
Cognome: Ramirez
Email: send email
Telefono: 34944064525
Fax: 34944064526

ES (DERIO - VIZCAYA) participant 616˙980.00
3    EBERHARD KARLS UNIVERSITAET TUEBINGEN

 Organization address address: GESCHWISTER-SCHOLL-PLATZ
city: TUEBINGEN
postcode: 72074

contact info
Titolo: Dr.
Nome: Benjamin
Cognome: Mordmueller
Email: send email
Telefono: +49 7071 2982187

DE (TUEBINGEN) participant 324˙042.00
4    SCHWEIZERISCHES TROPEN- UND PUBLIC HEALTH-INSTITUT

 Organization address address: SOCINSTRASSE 57
city: Basel
postcode: CH-4002

contact info
Titolo: Mr.
Nome: Daniel
Cognome: Thommen
Email: send email
Telefono: 41612848316
Fax: 41612848118

CH (Basel) participant 314˙870.40
5    ANAXOMICS BIOTECH, S.L.

 Organization address address: CALLE BALMES (PISO 4 - PTA 2A) 89
city: Barcelona
postcode: 8008

contact info
Titolo: Ms.
Nome: Vesna
Cognome: Radovanovic
Email: send email
Telefono: +34 934 516 717

ES (Barcelona) participant 294˙534.00
6    STICHTING BIOMEDICAL PRIMATE RESEARCH CENTER

 Organization address address: LANGE KLEIWEG 161
city: RIJSWIJK ZH
postcode: 2288 GJ

contact info
Titolo: Dr.
Nome: Clemens
Cognome: Kocken
Email: send email
Telefono: 31152842775

NL (RIJSWIJK ZH) participant 276˙975.00
7    STICHTING KATHOLIEKE UNIVERSITEIT

 Organization address address: GEERT GROOTEPLEIN NOORD 9
city: NIJMEGEN
postcode: 6525 EZ

contact info
Titolo: Dr.
Nome: Annemieke
Cognome: Jansens
Email: send email
Telefono: 31243610577
Fax: 31243540216

NL (NIJMEGEN) participant 264˙800.40

Mappa


 Word cloud

Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.

clinical    immunological    efficacy    diseases    outs    signatures    models    shortening    validated    human    trial    vaccine    pipeline    immunity    analytical    efficacious    vaccination    surrogate    read    model    candidate    biomarkers    trials    protection    malaria   

 Obiettivo del progetto (Objective)

'Vaccine development is an empirical process (trial and error) and involves a long, expensive clinical development pipeline to license an efficacious vaccine candidate. Better tools for vaccine evaluation are needed to adapt to a rising number of candidate vaccines entering clinical trials for many diseases. Surrogate biomarkers of immunity offer the possibility of expediting the clinical development by eliminating non-viable candidates earlier in the pipeline, shortening vaccine trial timeframes by giving a proxy measurement for efficacy and by guiding future vaccine design. In the case of malaria and other complex diseases, a surrogate biomarker of immunity has been difficult to achieve with classical immunological assays. We propose using a systems biology analytical approach in two efficacious malaria vaccination models to identify combinatorial biomarkers of protection. First, newly generated cellular transcriptome profiles and previously generated immunological read-outs common to both trials will be integrated into a database for this analysis. An already developed artificial intelligence-based analytical tool that generates biological network maps, transforms experimental data to the map and discriminates transcriptional gene signatures to physiological states (protection or susceptibility) will be applied in both vaccination models. The aim is to determine malaria signatures of protection that will then be refined and validated in an experimentally induced immunity non-human primate model. The optimized model will be further validated on additional samples from the two protective human trials. The identified biomarkers of protection will be used to produce a customised Immunome Chip, which together with traditional immunological read-outs will be used to evaluate vaccine efficacy, shortening times and costs of clinical trials. This strategy may also prove useful for other diseases and support the systems medicine approach.'

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