F-wave, sensory potential and nociceptive response in a rat model of streptozotocin-induced diabetic neuropathy
Bibliographic record
Abstract
Introduction: F-wave, sensory potentials and nociceptive response to painful stimulus are neurophysiological tests used to address the neuropathic condition in experimental models performed in laboratory animals.Objective: To demonstrate the effectiveness of a new dosing schedule in a rat model of streptozotocin-induced diabetic neuropathy.Methods: Streptozotocin was administered to adult Wistar rats at doses of 30 mg/kg per day on alternate days (Monday, Wednesday and Friday) for one week. Glycemic levels and body weight were measured before streptozotocin treatment and weekly throughout the experimental period (6 weeks). The F wave was recorded in the foot muscles with ankle stimulation. The sensory potential of the caudal nerves was recorded. The reaction time to a thermal nociceptive stimulus was examined in the hot plate test.Results: In animals treated with streptozotocin sustained levels of hyperglycemia and progressive reduction of body weight revealed diabetic neuropathic condition, also F-wave conformation and its parameters (amplitude, integral index and persistence) were severely reduced, as well as velocity conduction for sensory potential (p˂0.05), reaction time increased significantly (p˂ 0.05).Conclusions: Neurophysiological tests were effective in demonstrating that the dosing schedule used is capable of developing peripheral neuropathy over a six-week period. The changes in the F wave were particularly relevant and suggest that, in parallel with peripheral sensory transmission, evidenced by sensory potential and reaction time, there is neuropathic involvement of the central and/or proximal portions of the motor fibers.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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".