Multiple Roles of Transient Receptor Potential (TRP) Channels in Inflammatory Conditions and Current Status of Drug Development
Bibliographic record
Abstract
During inflammation, several Transient Receptor Potential (TRP) channels are directly or indirectly activated by inflammatory signaling molecules and microenvironmental changes including heat, oxidative conditions or low pH. In either case, specific TRP isoforms participate in chains of pro- or anti-inflammatory signaling cascades often including activation of transcription factors, protein kinases and phospholipases, which result in signal integration or amplification. In a few cases, their potentials as therapeutic targets for inflammatory conditions like pruritis, cystitis, dermatitis, asthma among other conditions are investigated pre-clinically or clinically by pioneering academic groups and industries. Significant efforts are still devoted to the understanding of the detailed physiological roles played by TRP channels during inflammation. This review intends to summarize key biological findings and reports of drug discovery activities when available, in an overview of the current status and recent developments in the field.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.003 |
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".