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Virus Research
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Virus Research
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Virus Research
Article . 2016 . Peer-reviewed
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Article . 2016 . Peer-reviewed
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Virulence factors in porcine coronaviruses and vaccine design

Authors: Zuniga; Sonia; Pascual-Iglesias; Alejandro; Sanchez; Carlos M.; Sola; Isabel; Enjuanes; Luis;

Virulence factors in porcine coronaviruses and vaccine design

Abstract

Porcine enteric coronaviruses (CoVs) cause severe disease in the porcine herds worldwide, leading to important economic losses. Despite the knowledge of these viruses since the 1970s, vaccination strategies have not been implemented, leading to continuous re-emergence of novel virulent strains. Live attenuated vaccines historically have been the most efficient. We consider that the new trend is the development of recombinant vaccines by using reverse genetics systems to engineer attenuated viruses, which could be used as effective and safe modified live vaccine candidates. To this end, host cell signaling pathways influencing porcine CoV virulence should be identified. Similarly, the identity of viral proteins involved in the modulation of host cell pathways influencing CoV pathogenesis should be analyzed. With this information, and using reverse genetics systems, it is possible to design viruses with modifications in the viral proteins acting as virulence factors, which may lead to attenuated viruses and, therefore, vaccine candidates. In addition, novel antiviral drugs may be developed once the host cell pathways and the molecular mechanism affecting porcine CoV replication and virulence are known. This review is focused in the host cell responses to enteric porcine CoV infection and the viral proteins involved in pathogenesis.

Keywords

Innate immune response, Swine Diseases, Vaccines, Coronaviridae Infections, Swine, Virulence Factors, Viral Vaccines, Virus-host interaction, Pathogenesis, Article, Immunity, Innate, Coronavirus, Viral Proteins, Host-Pathogen Interactions, Animals, Antigens, Viral

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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