Roles of TRPA1 in Pain Pathophysiology and Implications for the Development of a New Class of Analgesic Drugs
Bibliographic record
Abstract
The Transient Receptor Potential A1 (TRPA1) ion channel has evolved in animals to respond to signals from a variety of sensory stimuli. Many structural determinants of its multimodal activation have been identified to date. TRPA1 activities include responses to exogenous chemical irritants, responses to endogenous inflammatory mediators, zinc, voltage, temperature or stretch and subtle yet critical modulation by calcium ions. TRPA1 has emerged as an important target for several types of pain and inflammatory conditions because of its limited expression profile and its demonstrated roles in mediating different types of pain and sensitization of peripheral sensory afferents. Despite observed species differences in channel pharmacology, recent genetic evidence in human brings some hope that preclinical efficacy in disease models will translate to patient condition. During the past decade, various groups have investigated the development of a new class of analgesic drugs or anti-tussive agents aimed at blocking TRPA1 activity in primary sensory afferents. Several companies are advancing toward clinical proof of concept studies. This review aims to summarize key advances in the understanding of TRPA1 with regard to its roles and implications for patient conditions.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".