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Stability of RNA virus attenuation approaches

descriptionPublicationkeyboard_double_arrow_right Article 09 Mar 2011Publisher:Elsevier BVJournal:Vaccine, volume 29, pages 2,230-2,234 (issn: 0264-410X,

Authors: Joan L. Kenney; Eryu Wang; Xiaodong Liang; Sara M. Volk; Sara M. Volk; Jyotsna Pandya; Scott C. Weaver;

doi: 10.1016/j.vaccine.2011.01.055

pmid: 21288800

pmc: PMC3060670

Stability of RNA virus attenuation approaches

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Abstract

The greatest risk from live-attenuated vaccines is reversion to virulence. Particular concerns arise for RNA viruses, which exhibit high mutation frequencies. We examined the stability of 3 attenuation strategies for the alphavirus, Venezuelan equine encephalitis virus (VEEV): a traditional, point mutation-dependent attenuation approach exemplified by TC-83; a rationally designed, targeted-mutation approach represented by V3526; and a chimeric vaccine, SIN/TC/ZPC. Our findings suggest that the chimeric strain combines the initial attenuation of TC-83 with the greater phenotypic stability of V3526, highlighting the importance of the both initial attenuation and stability for live-attenuated vaccines.

Related Organizations

The University of Texas Medical Branch at Galveston
United States
Our Lady of the Lake University
United States

Keywords

Virulence, Sequence Analysis, RNA, Encephalomyelitis, Venezuelan Equine, Viral Vaccines, Genome, Viral, Viral Plaque Assay, Vaccines, Attenuated, Genomic Instability, Encephalitis Virus, Venezuelan Equine, Mice, Phenotype, Animals, Point Mutation, RNA, Viral

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	citations 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).	35
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	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%