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Project facts

Project manager

Jean-Francois Valarcher jean-francois.valarcher@sva.se

Point of contact

Katarina Näslund katarina.naslund@sva.se

Main applicant





2015 - 2017

TRANSCRIPTOVAC Host response gene signatures associated with FMDV infection, vaccination and persistence.

Foot-and-mouth disease virus (FMDV) is the etiologic agent of one of the most devastating diseases that can affect cloven-hoofed livestock. Current available vaccines are efficacious as emergency vaccines since thec induce en early antibody-mediated protection against FMDV-infection but the duration of immunity is often reduced. This significantly enhances the costs and reduces the efficacy of vaccination programs in endemic areas, which are the source of virus regularly re-introduced into Europe. Moreover, following acute infection of cattle with FMDV, som animals become persistently infected regardless of their immune (vaccinated) status. The mecanisms that underlie the induction of humoral and cellular immunity (including the quality of the immune response at the individual level) and viral persistence are still unknown.

The aim of tis project i 1) to identy innate immune gene signatures that are associated with long term antibody responses in sheep to define molecular targets for the development of new adjuvats and vaccins. 2) to identify factors within pathogen and host gene signatures associated with FMDV infection and persistence that can be targeted to prevent persistent infection with FMDV. 3) to develop novel viral vectored vaccines that could enhance the adaptive and local immune response against FMDV.

This collaborative project brings together five public research groups from four EU countries, which are leaders in the field of large animal immunlogy and FMDV research, and one private international company leader in vaccine development and production. It will contribute to the development of improved vaccines to promote animal health, welfare and food security globally. The knowledge generated in this project will have broad applicability for the design of new control measures.

Last updated : 2018-01-02