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Record W3174139771 · doi:10.1096/fasebj.20.4.a148-b

Deletion of apolipoprotein E gene substantially alters immune function in the mouse

2006· article· en· W3174139771 on OpenAlexafffund
Mohammed H. Moghadasian, Kent T. HayGlass, Baher Nashed

Bibliographic record

VenueThe FASEB Journal · 2006
Typearticle
Languageen
FieldImmunology and Microbiology
TopicAtherosclerosis and Cardiovascular Diseases
Canadian institutionsUniversity of Manitoba
FundersCanadian Institutes of Health ResearchNatural Sciences and Engineering Research Council of CanadaHeart and Stroke Foundation of Canada
KeywordsOvalbuminImmune systemApolipoprotein BKnockout mouseApolipoprotein EDownregulation and upregulationAnimal modelImmunologyFunction (biology)BiologyEndocrinologyGeneInternal medicineMedicineDiseaseCell biologyCholesterolGenetics

Abstract

fetched live from OpenAlex

Objective The objective of this study was to investigate the role of apolipoprotein E in regulating immune function in the mouse. Material and Methods Male apolipoprotein E‐knockout (apo E‐KO, n= 7) mice and their wild type counterparts (C57BL, n= 9 ) were used. The animals were immunized with ovalbumin 5 days before sacrifice. The spleenocytes from both groups of mice were cultured and stimulated by ovalbumin (1000 μg/ml), and several pro‐ and anit‐inflammatory markers were measured. Results Our data are summarized in the following Table: Conclusions Our data suggest that apo E modifies immune system. Our present data plus previous findings of in vivo upregulation of IL‐12 production endorse that impaired immune function in apo E‐KO mice may be one of the major contributing factors for accelerated atherogenesis in this animal 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 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 score0.002
Threshold uncertainty score0.006

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 communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.010
GPT teacher head0.197
Teacher spread0.187 · 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

Citations0
Published2006
Admission routes2
Has abstractyes

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