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Record W2034189451 · doi:10.1159/000138034

Effects of Cannabinoids on Macromolecular Synthesis in Isolated Spermatogenic Cells

2008· article· en· W2034189451 on OpenAlexaff
S.K. Tilak, A.M. Zimmerman

Bibliographic record

VenuePharmacology · 2008
Typearticle
Languageen
FieldMedicine
TopicCannabis and Cannabinoid Research
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsCannabinolMacromoleculeChemistryCannabidiolIn vitroBiochemistryCannabinoidMedicineCannabis

Abstract

fetched live from OpenAlex

Effects of delta 9-tetrahydrocannabinol (THC), cannabinol (CBN) and cannabidiol (CBD) (1, 3 or 5 microM for 2 h) on macromolecular synthesis were investigated in homogeneous populations of pachytene spermatocytes and round spermatids obtained from CD-1 mice. Incorporation of 3H-uridine into the acid-insoluble fraction was used as an index of RNA synthesis. Treatment of pachytene spermatocytes with 5 microM THC, CBN and CBD reduced radioactive incorporation by 81%, 62% and 67%, respectively, compared to vehicle (dimethylsulfoxide) controls. Treatment of round spermatids with 5 microM THC, CBN and CBD reduced radioactive incorporation by 54%, 61% and 63%, respectively, compared to controls. In addition to reduction of radioactive incorporation into the acid-insoluble fraction, there was also reduction in the acid-soluble fraction not comparable in magnitude to the reduction in the acid-insoluble fraction. Pachytene spermatocytes and round spermatids isolated from THC-treated mice (10 and 20 mg/kg) showed no reduction in macromolecular synthesis compared to cells isolated from vehicle-treated mice. Suppression of macromolecular synthesis induced by in vitro cannabinoid treatment is discussed in terms of membrane-mediated interference with cell metabolism.

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 score0.797

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.010
GPT teacher head0.288
Teacher spread0.278 · 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

Citations11
Published2008
Admission routes1
Has abstractyes

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