Creatine intake attenuates corticosteroid-induced impairment of voluntary running in hamsters
Bibliographic record
Abstract
Myopathy is a well-known side effect of corticosteroid therapy. Creatine monohydrate (Cr) supplementation has been shown to increase fat-free mass and muscular function. This study aimed to investigate if Cr administration could offset the deleterious functional effects of high doses of steroids. Fifty-six male Syrian golden hamsters were randomized among 4 groups: GI (n = 10), subcutaneous (s.c.) and intraperitoneal (i.p.) saline; GII (n = 10), s.c. saline and i.p. Cr (600 mg.kg(-1).d(-1)); GIII (n = 18), s.c. dexamethasone (7.5 mg.kg(-1).d(-1)) and i.p. saline; and GIV (n = 18), s.c. dexamethasone and i.p. Cr. Daily voluntary running was measured using activity wheels for 18 d. At the end of the study, statistically significant differences in running were observed between all groups, except for GI versus GII (GI, 8878 +/- 2737 m; GII, 9145 +/- 2000 m; GIII, 4289 +/- 2623 m; GIV, 6339 +/- 2345 m). Dexamethasone led to a significant decrease in cross-sectional area of type II fibers of the medial gastrocnemius. The cross-sectional area of type I fibers was significantly larger in GIV than in GIII. In conclusion, Cr administration attenuated the impairment of daily spontaneous running of hamsters receiving a high dose of corticosteroids. Additional research is needed to clarify the clinical implications of this finding.
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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 | 0.000 | 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) | 0.001 | 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".