ArticleNature communications2023
Multifunctional human monoclonal antibody combination mediates protection against Rift Valley fever virus at low doses.
Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 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
17 citing papers in PubMed, 17 citations in OpenAlex.
- Potent neutralization of Rift Valley fever virus mediated by monoclonal antibodies via concurrent inhibition of attachment and fusion.Emerging microbes & infections · 2026Article
- Neutralizing Antibodies Against Rift Valley Fever Virus: Current Status and Advances.Vaccines · 2026Review
- Karimabad virus: A neglected sandfly-borne pathogen.Medicine · 2026Review
- A visible assay for evaluating the inhibitory activity of drug and antibody against HBV infection.Microbiology spectrum · 2026Article
- An integrated computational antigen discovery pipeline with hierarchical filtering for emerging viral variants.NAR molecular medicine · 2026Article
- Structural basis for recognition of Rift Valley fever virus Gn protein by a human neutralizing monoclonal antibody with a kappa light chain.PLoS pathogens · 2026Article
- Cryo-EM structure of the Rift Valley fever virus envelope protein in complex with a potent neutralization antibody.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Zika virus vaccines and monoclonal antibodies: a priority agenda for research and development.The Lancet. Infectious diseases · 2025Review
- Efficient Identification of Monoclonal Antibodies Against Rift Valley Fever Virus Using High-Throughput Single Lymphocyte Transcriptomics of Immunized Mice.Antibodies (Basel, Switzerland) · 2025Article
- Immune correlates of protection of the four-segmented Rift Valley fever virus candidate vaccine in mice.Emerging microbes & infections · 2024Article
- Emerging and reemerging infectious diseases: global trends and new strategies for their prevention and control.Signal transduction and targeted therapy · 2024Review
- Rift Valley Fever Virus Encephalitis: Viral and Host Determinants of Pathogenesis.Annual review of virology · 2024Review
- Potent neutralizing human monoclonal antibodies protect from Rift Valley fever encephalitis.JCI insight · 2024Article
- The Adaptive Immune Response againstViruses · 2024Review
- Article
- An Introduction to Rift Valley Fever Virus.Methods in molecular biology (Clifton, N.J.) · 2024Article
- Humoral immunity to phlebovirus infection.Annals of the New York Academy of Sciences · 2023Review
Corrections and comments
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Authors and funding
13 authors at 3 institutions in 2 countries.
Funding
Abstract
The zoonotic Rift Valley fever virus (RVFV) can cause severe disease in humans and has pandemic potential, yet no approved vaccine or therapy exists. Here we describe a dual-mechanism human monoclonal antibody (mAb) combination against RVFV that is effective at minimal doses in a lethal mouse model of infection. We structurally analyze and characterize the binding mode of a prototypical potent Gn domain-A-binding antibody that blocks attachment and of an antibody that inhibits infection by abrogating the fusion process as previously determined. Surprisingly, the Gn domain-A antibody does not directly block RVFV Gn interaction with the host receptor low density lipoprotein receptor-related protein 1 (LRP1) as determined by a competitive assay. This study identifies a rationally designed combination of human mAbs deserving of future investigation for use in humans against RVFV infection. Using a two-pronged mechanistic approach, we demonstrate the potent efficacy of a rationally designed combination mAb therapeutic.
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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.