MétaCan
Menu
Back to cohort
Record W10202107 · doi:10.1006/cimm.1999.1468

Safety assessment of biotechnology food products with respect to allergenicity

2010· article· en· W10202107 on OpenAlexfundno aff
A.O. Ofori-Anti

Bibliographic record

VenueCellular Immunology · 2010
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicGenetically Modified Organisms Research
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsBiotechnologyFood safetyFood scienceFood productsBiologyBusiness

Abstract

fetched live from OpenAlex

Intestinal epithelial cells have been shown to produce IL-1beta in vivo. This gene expression is rapid and precedes most determinants of inflammation, suggesting a pivotal role for IL-1beta in the early events leading to inflammation. To better understand the mechanisms leading to this IL-1beta production, we have developed an in vitro model system employing a nontransformed intestinal epithelial cell line that does not constitutively express IL-1beta. Following detachment, these cells rapidly expressed IL-1beta mRNA. This expression was enhanced, but not induced, by LPS. IL-1beta protein was detected by immunoprecipitation in the culture medium from passaged IEC-18 but not intracellularly, suggesting an efficient secretion of the molecule following induction. Interestingly, culture supernatants from passaged cells were without IL-1 bioactivity, suggesting the presence of an inhibitor as well. RT-PCR and Western blot analysis showed expression of IL-1RII by IEC-18 following detachment, possibly explaining the observed lack of bioactivity. These results indicate a novel pathway for IL-1beta production and suggest that proinflammatory effects of IEC-derived IL-1 may be modulated by the simultaneous production of IL-1 antagonists.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.127
Threshold uncertainty score0.759

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 science0.0010.000
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 head0.017
GPT teacher head0.235
Teacher spread0.218 · 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

Citations0
Published2010
Admission routes1
Has abstractyes

Explore more

Same venueCellular ImmunologySame topicGenetically Modified Organisms ResearchFrench-language works237,207