Hola,
¿eres nuevo aquí?

Regístrate gratis y conecta tu empresa con financiación pública, partners y proyectos.

Tengo cuenta

Regístrate

Ver video

SYSMALVAC

Financiado

Cerrado

Identifying correlates of protection to accelerate vaccine trials systems evalu...

Identifying correlates of protection to accelerate vaccine trials systems evaluation of two models of experimentally induced immunity to malaria 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 r... ver más

31/12/2014

Líder desconocido

4M€

Presupuesto del proyecto: 4M€

Líder del proyecto Líder desconocido

Fecha límite participación Sin fecha límite de participación.

Ver 6 Participantes

Financiación concedida El organismo FP7 notifico la concesión del proyecto el día 2014-12-31 No tenemos la información de la convocatoria

0% 77% 100%

Características del participante

Este proyecto no cuenta con búsquedas de partenariado abiertas en este momento.

Información adicional privada

No hay información privada compartida para este proyecto. Habla con el coordinador.

6 Participantes

SCHWEIZERISCHES TROPEN UND P...

EBERHARD KARLS UNIVERSITAET...

STICHTING BIOMEDICAL PRIMATE...

Conecta tu I+D

¿Tienes un proyecto y buscas un partner? Gracias a nuestro motor inteligente podemos recomendarte los mejores socios y ponerte en contacto con ellos. Te lo explicamos en este video

Líder del proyecto Líder desconocido

Presupuesto del proyecto 4M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto 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.

Conecta tu I+D

Entra hoy

¿Olvidé mi contraseña?

Financiación

Empresas

CTIs/Universidades

Proyectos

Investigadores