ArticleNPJ vaccines2022
Safety and immunogenicity of four-segmented Rift Valley fever virus in the common marmoset.
Article in NPJ vaccines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
11 citing papers in PubMed, 15 citations in OpenAlex.
- Efficient Sensing of a 4-Segmented Rift Valley Fever Virus Vaccine Candidate by Human Monocytes.The Journal of infectious diseases · 2026Article
- Attenuated viral strains of priority pathogens for potential use in controlled human infection model studies: A scoping review.PLoS neglected tropical diseases · 2026Article
- Immune correlates of protection of the four-segmented Rift Valley fever virus candidate vaccine in mice.Emerging microbes & infections · 2024Article
- A Review of Nonhuman Primate Models of Rift Valley Fever Virus Infection: Progress, Challenge Strains, and Future Directions.Pathogens (Basel, Switzerland) · 2024Review
- Marmosets as models of infectious diseases.Frontiers in cellular and infection microbiology · 2024Review
- Quantification of RVFV Specific T Cell Responses in Mice Pre-immunized with Potential Vaccine Candidates.Methods in molecular biology (Clifton, N.J.) · 2024Article
- Advancements in Rift Valley fever vaccines: a historical overview and prospects for next generation candidates.NPJ vaccines · 2023Review
- Rift Valley Fever Virus-Infection, Pathogenesis and Host Immune Responses.Pathogens (Basel, Switzerland) · 2023Review
- Perspectives of Next-Generation Live-Attenuated Rift Valley Fever Vaccines for Animal and Human Use.Vaccines · 2023Review
- Advances and perspectives in the development of vaccines against highly pathogenic bunyaviruses.Frontiers in cellular and infection microbiology · 2023Review
- Article
Corrections and comments
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Authors and funding
14 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Rift Valley fever virus (RVFV) is an emerging mosquito-borne bunyavirus that is highly pathogenic to wild and domesticated ruminants, camelids, and humans. While animals are exclusively infected via mosquito bites, humans can also be infected via contact with contaminated tissues or blood. No human vaccine is available and commercialized veterinary vaccines do not optimally combine efficacy with safety. We previously reported the development of two novel live-attenuated RVF vaccines, created by splitting the M genome segment and deleting the major virulence determinant NSs. The vaccine candidates, referred to as the veterinary vaccine vRVFV-4s and the human vaccine hRVFV-4s, were shown to induce protective immunity in multiple species after a single vaccination. Anticipating accidental exposure of humans to the veterinary vaccine and the application of hRVFV-4s to humans, the safety of each vaccine was evaluated in the most susceptible nonhuman primate model, the common marmoset (Callithrix jacchus). Marmosets were inoculated with high doses of each vaccine and were monitored for clinical signs as well as for vaccine virus dissemination, shedding, and spreading to the environment. To accurately assess the attenuation of both vaccine viruses, separate groups of marmosets were inoculated with the parent wild-type RVFV strains. Both wild-type strains induced high viremia and disseminated to primary target organs, associated with mild-to-severe morbidity. In contrast, both vaccines were well tolerated with no evidence of dissemination and shedding while inducing potent neutralizing antibody responses. The results of the studies support the unprecedented safety profile of both vaccines for animals and humans.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.