Intermittent Fasting in Mice Does Not Improve Hindlimb Motor Performance after Spinal Cord Injury
Bibliographic record
Abstract
Previously, we reported that every-other-day-fasting (EODF) in Sprague-Dawley rats initiated after cervical spinal cord injury (SCI) effectively promoted functional recovery, reduced lesion size, and enhanced sprouting of the corticospinal tract. More recently, we also showed improved behavioral recovery with EODF after a moderate thoracic contusion injury in rats. In order to make use of transgenic mouse models to study molecular mechanisms of EODF, we tested here whether this intermittent fasting regimen was also beneficial in mice after SCI. Starting after SCI, C57BL/6 mice were fed a standard rodent chow diet either with unrestricted access or feeding every other day. Over a 14-week post-injury period, we assessed hindlimb locomotor function with the Basso Mouse Scale (BMS) open-field test and horizontal ladder, and the spinal cords were evaluated histologically to measure white and grey matter sparing. EODF resulted in an overall caloric restriction of 20% compared to animals fed ad libitum (AL). The EODF-treated animals exhibited a ∼ 14% reduction in body weight compared to AL mice, and never recovered to their pre-operative body weight. In contrast to rats on an intermittent fasting regimen, mice exhibited no increase in blood ketone bodies by the end of the second, third, and fourth day of fasting. EODF had no beneficial effect on tissue sparing and failed to improve behavioral recovery of hindlimb function. Hence this observation stands in stark contrast to our earlier observations in Sprague-Dawley rats. This is likely due to the difference in the metabolic response to intermittent fasting as evidenced by different ketone levels during the first week of the EODF regimen.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.004 |
| 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".