Deactivation of AMPKa/GSK-3B Leads to High-Level Glycogen Synthase in Poor Pork Meat Quality
Bibliographic record
Abstract
We investigated glycogen synthase and upstream regulatory proteins determining meat quality in porcine longissimus dorsi at 24 h post-mortem. The general meat quality traits of 300 muscle samples were estimated. Muscle samples were classified into two groups based on ultimate pH of meat 24 h post-mortem (pH24h). Muscle glycogen synthase belonging to the low pH24h group showed remarkably higher expression than that in the high pH24h group. AMP activated protein kinase (AMPK) and glycogen synthase kinase 3 (GSK-3) as negative regulators of glycogen synthase deactivated the suppression of glycogen synthase by phosphorylating Ser485 of AMPK and Ser9 of GSK-3B. These inhibitory kinases lead to high glycogen synthase expression. These results suggest that the accumulation of glycogen by up-regulating glycogen synthase and inhibiting AMPKa and GSK-3B was rapidly converted to lactate resulting in acidic meat. This molecular clue representing acidic meat based on post-mortem muscular pH can be used to estimate meat quality via Akt-AMPK?/GSK-3?-mediated up-regulation of glycogen synthase.
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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) | 0.000 | 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) | 0.001 | 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".