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Record W2089324135 · doi:10.1159/000138621

Stereospecific Effects of (–)- and (+)-7-Hydroxy-Delta-6-Tetrahydrocannabinol-Dimethylheptyl on the Immune System of Mice

2008· article· en· W2089324135 on OpenAlexaff
N. Titishov, Raphael Mechoulam, A.M. Zimmerman

Bibliographic record

VenuePharmacology · 2008
Typearticle
Languageen
FieldMedicine
TopicCannabis and Cannabinoid Research
Canadian institutionsUniversity of Toronto
FundersUniversity of Virginia
KeywordsImmune systemDelta-9-tetrahydrocannabinolChemistryEnantiomerSpleenTiterPharmacologyCannabinoidImmunologyEndocrinologyAntibodyInternal medicineBiologyBiochemistryStereochemistryMedicineReceptor

Abstract

fetched live from OpenAlex

The effects of the (+) and (-) cannabinoid enantiomers 7-hydroxy-delta-6-tetra-hydrocannabinol-dimethylheptyl [(-)-7-OH-delta-6-THC-DMH (HU-210) and (+)-7-OH-delta-6-THC-DMH (HU-211)] on the inductive and productive phases of the primary humoral immune response to sheep red blood cell immunization were investigated in mice. Animals treated with (-)-7-OH-delta-6-THC-DMH (0.01, 0.05, 0.1 and 0.5 mg/kg) exhibited a dose-dependent suppression of both phases of the primary humoral immune response in the hemolytic plaque assay, the hemagglutination titer and in the ratio of the spleen weight to final body weight. Mice treated with (+)-7-OH-delta-6-THC-DMH (0.01, 0.05, 0.01, 0.5 and 1.0 mg/kg) did not exhibit dose-dependent immune suppression. However, the (+) enantiomer reduced the number of plaque-forming cells in the hemolytic plaque assay during the inductive phase. Mice treated with a combination of (-) and (+) enantiomers, each at 0.01 mg/kg, exhibited no impairment in ability to undergo a primary humoral immune response (inductive phase).

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 score0.019
Threshold uncertainty score0.546

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.021
GPT teacher head0.295
Teacher spread0.275 · 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

Citations27
Published2008
Admission routes1
Has abstractyes

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