Dietary fat and protein interact in suppressing neuropathic pain-related disorders following a partial sciatic ligation injury in rats
Why this work is in the frame
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Bibliographic record
Abstract
Chronic neuropathic sensory disorders (CNSD) of rats receiving a partial sciatic nerve ligation injury (the PSL model) are suppressed by dietary soy protein. Although previously shown to modify nociceptive behavior in acute pain models, dietary fat has never been tested for its putative analgesic properties in chronic pain states. Here we tested the role of dietary fat, protein and fat/protein interactions in the development of tactile allodynia and heat hyperalgesia in PSL-injured rats. Male Wistar rats were fed nine different diets, comprising of three proteins (soy, casein and albumin) and three fats (corn, soy and canola) for a week preceding PSL injury and for 2 weeks thereafter. Rats' responses to tactile and noxious heat stimuli were tested before surgery and 3, 7 and 14 days afterwards. Tactile and heat sensory abnormalities following PSL injury were significantly different among the nine dietary groups. Consumption of corn and soy fats suppressed the levels of tactile and heat allodynia and hyperalgesia, whereas consumption of soy and casein proteins was associated with lower levels of heat hyperalgesia but not tactile allodynia. A significant fat/protein interaction was found for the heat but not tactile stimuli. We conclude that dietary fat is a significant independent predictor of levels of neuropathic sensory disorders in rats and that this effect is accentuated by dietary protein. The mechanisms by which fat suppresses neuropathic disorders have yet to be determined.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.007 |
| 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it