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Record W1999854962 · doi:10.1159/000233981

Effects of H <sub>1</sub> and H <sub>2</sub> Receptor Agonists on Nonspecific Proliferative Response of Human Peripheral Blood Lymphocytes

2009· article· en· W1999854962 on OpenAlexaff
Lucie Beaulieu, Jacqueline Beaudoin, Marie Jobin, Jacques Hébert

Bibliographic record

VenueInternational Archives of Allergy and Applied Immunology · 2009
Typearticle
Languageen
FieldImmunology and Microbiology
TopicMast cells and histamine
Canadian institutionsCentre hospitalier de l'Université Laval
Fundersnot available
KeywordsHistamineDimapritAgonistEndocrinologyInternal medicineHistamine H2 receptorHistamine H4 receptorAntagonistHistamine H1 receptorHistamine receptorReceptorChemistryBiologyPharmacologyMedicine

Abstract

fetched live from OpenAlex

Histamine is known to modulate immune responses through the induction of suppressor cell subsets. The inhibition studies with antagonists suggest that the H2 agonist accounts for most of the suppression. This work studies the effects of various concentrations of 3-methyl histamine (as negative control), histamine, and pure H1 (2-methyl histamine, 2-pyridyl ethylamine) and H2 (4-methyl histamine, dimaprit) receptor agonists on the mitogenic (phytohemagglutinin A) proliferative response of normal human lymphocytes. At high concentrations of agonists (10(-3), 10(-4) M) the suppression induced by the two types of agonists is comparable to that of histamine. At lower concentrations (10(-6) M) the suppression is seen only in the presence of the H2 agonist. The suppression induced by the two agonists is generally reversed in the presence of an H2 receptor antagonist. The H1 receptor antagonist did not abolish and even increased the suppression induced by histamine and the two agonists.

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 score0.044
Threshold uncertainty score0.937

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 studies0.0000.001
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 head0.004
GPT teacher head0.199
Teacher spread0.195 · 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

Citations2
Published2009
Admission routes1
Has abstractyes

Explore more

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