A novel orally administered trimebutine compound (<scp>GIC</scp>‐1001) is anti‐nociceptive and features peripheral opioid agonistic activity and Hydrogen Sulphide‐releasing capacity in mice
Bibliographic record
Abstract
BACKGROUND: Trimebutine maleate, a noncompetitive spasmolytic agent with some affinity for peripheral μ- and κ-opioid receptors has been evaluated as a treatment in a limited number of patients undergoing sedation-free full colonoscopy. The efficiency of such treatment was comparable to sedation-based colonoscopies to relieve from pain and discomfort. METHODS: A new and improved trimebutine salt capable of releasing in vivo hydrogen sulphide (H2S), a gaseous mediator known to reduce nociception, has been developed. This drug salt (GIC-1001) is composed of trimebutine bearing a H2S-releasing counterion (3-thiocarbamoylbenzoate, 3TCB), the latter having the ability to release H2S. GIC-1001 has been tested here in a mouse model of colorectal distension. RESULTS: In mice, while orally given trimebutine (the maleate salt, non-H2 S-releaser) only slightly reduced the nociceptive response to increasing pressures of colorectal distension, oral administration of GIC-1001 (the H2S-releaser) was able to significantly reduce nociceptive response to all noxious stimuli, in a dose-dependent manner. This effect of GIC-1001 was significantly better than the effects of its parent compound trimebutine administered at equimolar doses. CONCLUSIONS: Taken together, these results demonstrated increased antinociceptive properties for GIC-1001 compared to trimebutine, suggesting that this compound would be a better option to relieve from visceral pain and discomfort induced by lumenal distension.
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 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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".