The monoterpene (–)‐carvone: A novel agonist of TRPV1 channels
Bibliographic record
Abstract
(-)-Carvone is an antinociceptive monoterpene found as the main active constituent of essential oils obtained from plants of the genus Mentha. Here, we have investigated the pharmacology of this monoterpene in dorsal root ganglia (DRG) neurons and TRPV1-expressing HEK293 cells. (-)-carvone at pharmacological active concentrations did not reveal significant cytotoxicity to the cells used in this study, as investigated by neutral red and propidium iodide flow cytometry assays. In calcium imaging experiments 1 mM (-)-carvone increased the cytosolic calcium levels in DRG neurons from 120.6 ± 5.0 nM (basal) to 310.7 ± 23.1 nM (P < 0.05). These effects were completely abolished when neurons were preincubated with calcium-free bath solution or ruthenium-red (5 µM) and capsazepine (10 µM), suggesting the possibility of TRPV1 channel-activation by (-)-carvone. Activity of (-)-carvone on TRPV1 channels was further investigated in HEK293 cells expressing recombinant human TRPV1 channels revealing dose-dependent calcium transients with an EC(50) of 1.3 ± 0.2 mM (Hill coefficient = 2.5). In conclusion, we show for the first time the ability of (-)-carvone to induce increases in cytosolic calcium concentration through TRPV1 activation.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
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".