Discovery and development of an oral analgesic targeting the α2B adrenoceptor
Bibliographic record
Abstract
Noradrenaline is a major monoaminergic neurotransmitter involved in pain modulation through an α2A-adrenergic receptor. Hence, α2-adrenergic agonists such as clonidine and dexmedetomidine exhibit analgesic and opioid-sparing effects. However, their use is restricted to hospital settings due to potential risks of acute hypertension/hypotension and bradycardia. Here, we report that ( Z )-1-(3-ethyl-5-fluorobenzo[ d ] thiazol-2(3 H )-ylidene)propan-2-one [adrenergic inducer of analgesia (ADRIANA)], a newly identified α2B subtype-specific antagonist, specifically promotes noradrenaline release in the murine spinal dorsal horn and produces analgesic effects by stimulating the α2A-dependent pain inhibitory pathway. Orally administered ADRIANA has potent analgesic effects in several nociceptive pain models of mice and nonhuman primates without cardiovascular effects. Mice with genetic loss of the α2B adrenoceptor showed normal responses to mechanical pain, but the analgesic effect of ADRIANA was not significantly detected. These findings reveal that the α2B adrenoceptor is a promising target for nonopioid analgesics through the activation of the α2A-dependent descending pathway.
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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 | 0.001 |
| 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".