Evidence map›Paper›PMID 39585629›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2025

Evaluation of Vaccines and Therapeutics Against Marburg Virus in Nonhuman Primate Models.

Courtney Woolsey, Thomas W Geisbert, Robert W Cross

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Courtney WoolseyGalveston National Laboratory and Department of Microbiology and Immunology, University of Texas Medical Branch, Galveston, TX, USA.
Thomas W GeisbertGalveston National Laboratory and Department of Microbiology and Immunology, University of Texas Medical Branch, Galveston, TX, USA. twgeisbe@utmb.edu.
Robert W CrossGalveston National Laboratory and Department of Microbiology and Immunology, University of Texas Medical Branch, Galveston, TX, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Marburg virus (MARV) has caused sporadic outbreaks of severe hemorrhagic fever in Africa in humans and nonhuman primates (NHPs) and has the potential to be used as a biological weapon. Currently, there are no licensed vaccines or therapeutics to respond to outbreaks or deliberate misuse. Vaccine and therapeutic efficacy testing against MARV requires animal models that accurately mimic human disease. In vitro testing in cell culture cannot appropriately model the complex immunological host responses required to accurately predict efficacy in humans, which will ultimately be required for licensure of a medical countermeasure (MCM). While small animal models for MARV have been valuable for dissecting disease processes and the screening of vaccine and drug candidates, there are several caveats to their use including required adaptation of the virus, lack of host-specific reagents, or the need of an immunocompromised host. Conversely, the NHP MARV disease model addresses all shortcomings of small animal models and closely recapitulates all hallmark features of human disease. As such, NHPs have served as the "gold standard" for testing filovirus MCMs and will most likely be required for regulatory approval. Here, we describe the use of NHPs for vaccine and therapeutic evaluation against MARV.

Indexed as

Disease Models, AnimalMarburgvirusMarburg Virus DiseaseViral VaccinesAnimalsHumansPrimatesViral VaccinesAngolaCi67CountermeasuresCynomolgus macaqueMarburg virusNonhuman primate modelPoppRavn virusRhesus macaque

Identifiers

PMID39585629

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.