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Record W4414055646 · doi:10.1038/s44298-025-00147-4

Rodent adapted marburg viruses are lethal in ferrets

2025· article· en· W4414055646 on OpenAlexafffund
Zachary Schiffman, Lauren Garnett, Kaylie N. Tran, Jonathan Audet, Kevin Tierney, Kim Azaransky, Shihua He, Logan Banadyga, James E. Strong

Bibliographic record

Venuenpj Viruses · 2025
Typearticle
Languageen
FieldMedicine
TopicViral Infections and Outbreaks Research
Canadian institutionsResearch ManitobaUniversity of ManitobaPublic Health Agency of Canada
FundersPublic Health AgencyPublic Health Agency of Canada
KeywordsMarburg virusFiloviridaeVirusPathogenesisViral replicationImmune systemRodent

Abstract

fetched live from OpenAlex

Ferrets are highly susceptible to infection with several orthoebolaviruses, including Ebola virus (EBOV), yet they are refractory to infection with the orthomarburgviruses, Marburg virus (MARV) and Ravn virus. This study sought to investigate the pathogenicity of rodent-adapted MARV in ferrets. Challenge with guinea pig-adapted (GPA)-MARV resulted in uniform lethality among ferrets, whereas challenge with mouse-adapted (MA)-MARV resulted in partial lethality. Ferrets challenged with GPA-MARV manifested clinical signs of filovirus disease, including a petechial rash. These animals supported high levels of viral replication and exhibited coagulation abnormalities exemplified by thrombocytopenia, a feature absent among ferrets challenged with GPA-EBOV. A dysregulated immune response and hematological perturbations were also observed among GPA-MARV-challenged ferrets. Lastly, several genome mutations appeared in GPA-MARV following ferret challenge. This study provides insight into the pathogenesis of MARV and represents the first report and characterization of a lethal Marburg virus ferret model.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.132
Threshold uncertainty score0.736

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.070
GPT teacher head0.390
Teacher spread0.319 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2025
Admission routes2
Has abstractyes

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