Effects of cannabinoids on endogenous K<sup>+</sup> and Ca<sup>2+</sup> currents in HEK293 cells
Bibliographic record
Abstract
Effects of cannabinoids on endogenous potassium and calcium currents in HEK293 cells were studied using the whole-cell variant of the patch-clamp technique. The cannabinoid agonists WIN 55,212-2, methanandamide, and anandamide (1 microM) decreased the calcium current by 53.1 +/- 2.6, 47.5 +/- 1.2, and 38.8 +/- 3.1%, respectively, after transfection of human CB1 cannabinoid receptor (hCB1) cDNA into HEK293 cells. The delayed rectifier-like current was not changed after application of these agonists, but the inward rectifier was increased by 94.0 +/- 3.6, 83.7 +/- 5.1, and 63.0 +/- 2.5% after application of WIN 55,212-2, methanandamide, and anandamide, respectively. The effects of the cannabinoid antagonists (AM251, AM281, and AM630) on the inward rectifier and calcium currents were the opposite of those seen with cannabinoid agonists; thus, these compounds act as inverse agonists in this preparation. These results suggest that endogenous inward rectifier and calcium currents are modulated by cannabinoids in HEK293 cells, and that some expressed receptors may be constitutively active.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".