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Record W3119273369 · doi:10.1128/mbio.01438-20

Atypical Ebola Virus Disease in a Nonhuman Primate following Monoclonal Antibody Treatment Is Associated with Glycoprotein Mutations within the Fusion Loop

2021· article· en· W3119273369 on OpenAlexafffund
Logan Banadyga, Wenjun Zhu, Shweta Kailasan, Katie A. Howell, Krzysztof Franaszek, Shihua He, Vinayakumar Siragam, Keding Cheng, Feihu Yan, Estella Moffat, Wenguang Cao, Anders Leung, Carissa Embury‐Hyatt, M. Javad Aman, Xiangguo Qiu

Bibliographic record

VenuemBio · 2021
Typearticle
Languageen
FieldMedicine
TopicViral Infections and Outbreaks Research
Canadian institutionsCanadian Food Inspection AgencyPublic Health Agency of Canada
FundersNational Institute of Allergy and Infectious DiseasesDefense Threat Reduction AgencyPublic Health Agency of Canada
KeywordsEbola virusVirologyMonoclonal antibodyNonhuman primateDiseaseBiologyGlycoproteinAntibodyVirusMedicineImmunologyGeneticsPathology

Abstract

fetched live from OpenAlex

Ebola virus remains a global threat to public health and biosecurity, yet we still know relatively little about its pathogenesis and the complications that arise following recovery. With nearly 20,000 survivors from the 2013-2016 West African outbreak, as well as over 1,000 survivors of the recent outbreak in the DRC, we must consider the consequences of virus persistence and recrudescent disease, even if they are rare. In this study, we describe a case of atypical Ebola virus disease in a nonhuman primate after treatment with a monoclonal antibody. Not only does this study underscore the potential for atypical disease presentations, but it also emphasizes the importance of considering how medical countermeasures might relate to these phenomena, especially as antibodies are incorporated into the standard of care. The results presented herein provide a foundation from which we can continue to investigate these facets of Ebola virus disease.

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 score0.321
Threshold uncertainty score0.343

Codex and Gemma teacher scores by category

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

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 head0.027
GPT teacher head0.348
Teacher spread0.321 · 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

Citations19
Published2021
Admission routes2
Has abstractyes

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