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Virulence Criteria for<i>Brucella abortus</i>Strains as Determined by Interferon Regulatory Factor 1-Deficient Mice

2002· article· en· W2099801025 on OpenAlexfundno aff
Jinkyung Ko, Annette Gendron‐Fitzpatrick, Thomas A. Ficht, Gary A. Splitter

Bibliographic record

VenueInfection and Immunity · 2002
Typearticle
Languageen
FieldVeterinary
TopicBrucella: diagnosis, epidemiology, treatment
Canadian institutionsnot available
FundersNational Institute of Allergy and Infectious DiseasesCooperative State Research, Education, and Extension ServiceNational Institutes of HealthU.S. Department of AgricultureUnited States - Israel Binational Agricultural Research and Development FundUniversity of Toronto
KeywordsVirulenceBrucellaBiologyBrucellaceaeMicrobiologyImmunityBrucellosisVirologyIRF1Attenuated vaccineInterferonVirulence factorImmunologyImmune systemBrucella melitensisGeneGene expressionGenetics

Abstract

fetched live from OpenAlex

Interferon regulatory factor 1-deficient (IRF-1(-/-)) mice infected with virulent Brucella abortus 2308 at 5 x 10(5) CFU developed acute hepatitis similar to many natural hosts but, unlike natural hosts, IRF-1(-/-) mice were unable to resolve infection and died. In contrast, IRF-1(-/-) mice survived when infected at 5 x 10(5) CFU with several attenuated Brucella strains (S19, RB51, cbp, and cyd). The survival of infected IRF-1(-/-) mice is likely a function of the level of virulence of each Brucella strain and the extent of retained immunity. Further, these findings suggest that adaptive immunity may be important to the survival of IRF-1(-/-) mice since attenuated Brucella strains can protect IRF-1(-/-) mice against lethal challenge with virulent Brucella: Using the IRF-1(-/-) mouse model, the following set of criteria were identified to define Brucella virulence: (i) the day of death for 50% of mice infected with 5 x 10(5)CFU of Brucella, (ii) the extent of liver toxicity, and (iii) the minimum immunizing dose of Brucella to protect against challenge with virulent S2308. Thus, IRF-1(-/-) mice are important to determining the level of Brucella virulence, to evaluating Brucella mutants for attenuation, and to investigating adaptive immunity in brucellosis.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.094
GPT teacher head0.355
Teacher spread0.261 · 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 source (direct Gemma or distilled Codex), 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

Citations44
Published2002
Admission routes1
Has abstractyes

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