Evidence map›Paper›PMID 39088277›Full record

ArticleJCI insight2024

Potent neutralizing human monoclonal antibodies protect from Rift Valley fever encephalitis.

Kaleigh A Connors, Nathaniel S Chapman, Cynthia M McMillen, Ryan M Hoehl, Jackson J McGaughey, Zachary D Frey, Morgan Midgett, Connor Williams, Douglas S Reed, James E Crowe and 1 more

Abstract read
In one paragraph

Article in JCI insight, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Kaleigh A ConnorsDepartment of Infectious Diseases and Microbiology, School of Public Health, and.
Nathaniel S ChapmanDepartment of Pathology, Microbiology and Immunology, and.
Cynthia M McMillenDepartment of Infectious Diseases and Microbiology, School of Public Health, and.
Ryan M HoehlCenter for Vaccine Research, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Jackson J McGaugheyCenter for Vaccine Research, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Zachary D FreyCenter for Vaccine Research, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Morgan MidgettCenter for Vaccine Research, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Connor WilliamsCenter for Vaccine Research, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Douglas S ReedCenter for Vaccine Research, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
James E CroweDepartment of Pathology, Microbiology and Immunology, and.
Amy L HartmanDepartment of Infectious Diseases and Microbiology, School of Public Health, and.

Funding

Practices CoreUC7AI180311 · NIAID · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI William Paul Duprex · 2023 to 2026
$13.2M
Live-attenuated Rift Valley fever vaccines: comparative mechanisms of trans-placental transmission and vaccine efficacy for developing fetusesR01AI150792 · NIAID · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI HARTMAN, AMY L · 2020 to 2025
$3.7M
Characterizing the role of LDL related receptor 1 (Lrp1) as host entry factor for multiple bunyavirusesR01AI169850 · NIAID · WASHINGTON UNIVERSITY · PI Gaya K. Amarasinghe, Amy L Hartman · 2023 to 2026
$3.1M
Mechanisms of Neuronal Infection by Prototype Emerging BunyavirusesR01AI178378 · NIAID · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Amy L Hartman · 2023 to 2026
$3.0M
Neuroprotective anti-inflammatory drugs as a novel combination therapy for neurological Rift Valley FeverR01NS101100 · NINDS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI HARTMAN, AMY L · 2017 to 2021
$1.7M
Comparative Analysis of Bunyavirus NeuropathogenesisR56AI171920 · NIAID · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI HARTMAN, AMY L · 2022 to 2022
$1.1M
NIAID NIH HHS R01 AI150792NIAID NIH HHS R01 AI169850NIAID NIH HHS R01 AI178378NIAID NIH HHS R56 AI171920NIAID NIH HHS UC7 AI180311NINDS NIH HHS R01 NS101100
6 · The paper itself

Abstract

Rift Valley fever (RVF) is an emerging arboviral disease affecting both humans and livestock. In humans, RVF displays a spectrum of clinical manifestations, including encephalitis. To date, there are no FDA-approved vaccines or therapeutics for human use, although several are in preclinical development. Few small-animal models of RVF encephalitis exist, further complicating countermeasure assessment. Human mAbs RVFV-140, RVFV-268, and RVFV-379 are recombinant potently neutralizing antibodies that prevent infection by binding the RVFV surface glycoproteins. Previous studies showed that both RVFV-268 and RVFV-140 improve survival in a lethal mouse model of disease, and RVFV-268 has prevented vertical transmission in a pregnant rat model of infection. Despite these successes, evaluation of mAbs in the context of brain disease has been limited. This is the first study to our knowledge to assess neutralizing antibodies for prevention of RVF neurologic disease using a rat model. Administration of RVFV-140, RVFV-268, or RVFV-379 24 hours prior to aerosol exposure to the virulent ZH501 strain of RVFV resulted in substantially enhanced survival and lack of neurological signs of disease. These results using a stringent and highly lethal aerosol infection model support the potential use of human mAbs to prevent the development of RVF encephalitis.

Indexed as

Antibodies, MonoclonalAntibodies, NeutralizingAntibodies, ViralDisease Models, AnimalRift Valley FeverRift Valley fever virusAnimalsFemaleHumansMiceRatsAntibodies, MonoclonalAntibodies, NeutralizingAntibodies, ViralAdaptive immunityImmunoglobulinsImmunologyInfectious diseaseNeurological disorders

Identifiers

PMID39088277
PMCPMC11457859

What OpenQuestion holds

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Registered trials

None linked

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.