Dietary cod protein improves the IGF1-Akt/PKB signaling pathway in rat skeletal muscle during recovery from injury
Bibliographic record
Abstract
The objective of this study was to identify molecular mechanisms underlying the beneficial effects of cod protein feeding on skeletal muscle recovery through detailed analyses of the IGF1-Akt/PKB signaling pathway. Acute mucle injury was induced by injecting bupivacaine in one tibialis anterior of Wistar rats fed isoenergetic diets containing either casein (C), cod protein (CP), or casein supplemented with a mixture of arginine, glycine, taurine and lysine (C+), matching their respective levels as in CP; downstream IGF1-Akt/PKB (protein kinase B) effectors were measured post-injury. Rats fed the CP-diet exhibited a 50% reduction of the muscle ring finger1 (MuRF1) level compared with those fed the C-diet (p=0.01), while the reduction induced by the C+-diet was intermediary to, but did not differ significantly (p=0.07) from the C-diet at day 2 post-injury. These findings indicate a decrease in the ubiquitination of muscle proteins and their degradation in the CP-group partly because of its high levels of arginine, glycine, taurine and lysine. Futhermore, phospho-Akt Ser473, a phosphorylation required for maximum activation of Akt, was increased in the CP-group at day 5 (p<0.0001) and day 28 post-injury (p=0.002) compared with C, and at day 5 compared with C+ (p=0.0005). The phosphorylated form of GSK-3 was also increased with CP feeding at day 28 post-injury compared with C (p=0.05), suggesting enhanced protein synthesis in the CP group. C+ enhanced phospho-Akt Ser473 compared with C (p=0.008) only at day 28 post-injury, with no effect on GSK-3 phosphorylation. Therefore, CP may reduce protein degradation induced by muscle injury through early modulation of the ubiquitination process, while enhancing muscle protein synthesis through Akt phosphorylation at later time points.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".