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Record W2180594387 · doi:10.1128/jvi.02331-15

Development and Characterization of a Guinea Pig-Adapted Sudan Virus

2015· article· en· W2180594387 on OpenAlexafffund
Gary Wong, Shihua He, Haiyan Wei, Andrea Kroeker, Jonathan Audet, Anders Leung, Todd Cutts, Jill Graham, Darwyn Kobasa, Carissa Embury‐Hyatt, Xiangguo Qiu

Bibliographic record

VenueJournal of Virology · 2015
Typearticle
Languageen
FieldMedicine
TopicViral Infections and Outbreaks Research
Canadian institutionsCanadian Food Inspection AgencyUniversity of ManitobaPublic Health Agency of Canada
FundersCanadian Institutes of Health ResearchChinese Academy of SciencesPublic Health Agency of Canada
KeywordsBiologyOutbreakViremiaEbolavirusEbola virusVirologyVirusFiloviridaeHistopathologyGuinea pigImmunologyPathologyViral diseaseMedicine

Abstract

fetched live from OpenAlex

UNLABELLED: Infections with Sudan virus (SUDV), a member of the genus Ebolavirus, result in a severe hemorrhagic fever with a fatal outcome in over 50% of human cases. The paucity of prophylactics and therapeutics against SUDV is attributed to the lack of a small-animal model to screen promising compounds. By repeatedly passaging SUDV within the livers and spleens of guinea pigs in vivo, a guinea pig-adapted SUDV variant (SUDV-GA) uniformly lethal to these animals, with a 50% lethal dose (LD50) of 5.3 × 10(-2) 50% tissue culture infective doses (TCID50), was developed. Animals infected with SUDV-GA developed high viremia and died between 9 and 14 days postinfection. Several hallmarks of SUDV infection, including lymphadenopathy, increased liver enzyme activities, and coagulation abnormalities, were observed. Virological analyses and gross pathology, histopathology, and immunohistochemistry findings indicate that SUDV-GA replicates in the livers and spleens of infected animals similarly to SUDV infections in nonhuman primates. These developments will accelerate the development of specific medical countermeasures in preparation for a future disease outbreak due to SUDV. IMPORTANCE: A disease outbreak due to Ebola virus (EBOV), suspected to have emerged during December 2013 in Guinea, with over 11,000 dead and 28,000 infected, is finally winding down. Experimental EBOV vaccines and treatments were administered to patients under compassionate circumstances with promising results, and availability of an approved countermeasure appears to be close. However, the same range of experimental candidates against a potential disease outbreak caused by other members of the genus Ebolavirus, such as Sudan virus (SUDV), is not readily available. One bottleneck contributing to this situation is the lack of a small-animal model to screen promising drugs in an efficient and economical manner. To address this, we have generated a SUDV variant (SUDV-GA) that is uniformly lethal to guinea pigs. Animals infected with SUDV-GA develop disease similar to that of SUDV-infected humans and monkeys. We believe that this model will significantly accelerate the development of life-saving measures against SUDV infections.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.751
Threshold uncertainty score0.143

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 head0.061
GPT teacher head0.331
Teacher spread0.270 · 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 designBench or experimental
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

Citations52
Published2015
Admission routes2
Has abstractyes

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