Evaluation of Cold allodynia by Thermal Place Preference Test Following A Short Term of Treadmill Exercise in Neuropathic Rats
Bibliographic record
Abstract
Introduction: In this study, we investigated the hypothesis of whether short term and moderate intense treadmill exercise could lead to a sustained reversal of peripheral neuropathy induced cold aversion by activation of endogenous opioidergic systems. Materials & Methods: The tibial nerve transection (TNT) was performed in the anesthetized rats. 28 days after TNT surgery, the animals were randomized to three sedentary and four treadmill exercise (14 days, 30 min/day with max speed of 1.2 Km/h) groups. Animal activity and thermal preference behavior were determined by double plate technique (thermo-neutral plate: 24 ºC and cold plate: 14 ºC), equipped with a video tracking software. For determination of opioidergic system involvement, intraperitoneal injection of naltroxone (2 mg/kg) was done before exercise. Morphine (2.5 mg/kg) and naloxone (1 mg/kg) were also used exactly after the end of the last session of exercise. Findings: Tibial nerve transection significantly decreased the animals’ activities (P<0.001), the time spent in cold plate (P<0.002) and increased escape index from the cold plate (E.I), (P<0.0001), in comparison with intact animals. Treadmill exercise significantly prevented cold allodynia (P<0.002), increased animal activity (P<0.01) and decreased E.I (P<0.0001) 42 days after TNT surgery. Administration of morphine in the both exercised and none-exercised groups significantly reduced E.I., (P<0.0001). Injection of naltrexone before exercise training or naloxone immediately after exercise prevented anti-allodynia effect of exercise on the exercise trained animals. Discussion & Conclusion: Our investigation came to the conclusion that a short period of moderate aerobic exercise could reduce cold aversion and improve animal locomotor activity after peripheral neuropathy via activation of opioidergic system.
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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) | 0.001 | 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) | 0.002 | 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".