Loss of the glucocorticoid receptor in zebrafish improves muscle glucose availability and increases growth
Bibliographic record
Abstract
Chronic stress and the associated elevation in corticosteroid levels increase muscle protein catabolism. We hypothesized that the glucocorticoid receptor (GR)-regulated restriction of muscle glucose availability may play a role in the increased protein catabolism during chronic stress. To test this, we generated a ubiquitous GR knockout (GRKO) zebrafish to determine the physiological consequence of glucocorticoid stimulation on muscle metabolism and growth. Adult GRKO zebrafish had higher body mass, and this corresponded to an increased protein and lipid, but not carbohydrate, content. GRKO fish were hypercortisolemic, but they elicited a higher cortisol response to an acute stressor. However, the stressor-induced increase in plasma glucose level observed in the wild type was completely abolished in the GRKO fish. Also, the muscle, but not liver, capacity for glucose uptake was enhanced in the GRKO fish, and this corresponded with a higher hexokinase activity in the mutants. Zebrafish lacking GR also showed a higher capacity for protein synthesis, including increased phosphorylation of eukaryotic initiation factor 4B, higher expression of heat shock protein cognate 70, and total protein content. A chronic fasting stressor reduced body mass and muscle protein content in adult zebrafish, but this decrease was attenuated in the GRKO compared with the wild-type fish. Metabolomics analysis revealed that the free pool of amino acid substrates used for oxidation and gluconeogenesis were lower in the fasted GRKO fish muscle compared with the wild type. Altogether, chronic stressor-mediated GR signaling limits muscle glucose uptake, and this may play a role in protein catabolism, leading to the growth suppression in fish.
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How this classification was reachedexpand
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 | 0.000 | 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 | 0.002 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".