TRPA1 channels play a critical role in cold‐induced vasodilatation
Bibliographic record
Abstract
The mechanisms involved in cold‐induced vasodilatation are unclear. Here, we have investigated an involvement of the cold‐sensitive channel TRPA1, known to be expressed in a subset of sensory neurons. Using laser Doppler flowmetry, peripheral blood flow was measured following cold exposure in the plantar skin in the anaesthetised mice before (5 min:baseline) and after local cold exposure of the hindpaw (30 min). This response consisted of a decrease in blood flow, followed by an increase in WT mice. This response was substantially reduced in TRPA1 KO as compared to WT mice (245.1 ± 39.6 vs 86.1 ± 11.0, 103 flux units, measured as area under the response curve, n=6, p<0.01) and antagonised by the TRPA1 antagonist HC030031 (100mg/kg, i.p. , n=5). The cold‐induced response was also shown to be significantly reduced in WT mice pre‐treated with the calcitonin gene related peptide (CGRP) receptor antagonist, CGRP 8–37 and the neurokinin‐1 receptor antagonist SR140333 , suggesting a prominent role of neuropeptides in this response. These results suggest the major involvement of TRPA1 containing sensory nerves in local cold‐induced vascular responses. Supported by a BBSRC‐led IMB capacity building award.
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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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".