The regulation of Akt and FoxO transcription factors during dehydration in the African clawed frog (Xenopus laevis)
Bibliographic record
Abstract
The African clawed frog (Xenopus laevis) naturally tolerates severe dehydration using biochemical adaptation, one of which is the elevation of antioxidant defenses during whole-body dehydration. The present study investigated the role and regulation of a pathway known to regulate oxidative stress response, the Akt-FoxO signaling pathway, in clawed frog skeletal muscle, responding to medium (15%) and high (30%) dehydration. Protein levels of total and phosphorylated Akt, FoxO1, and FoxO3 were assessed via immunoblotting, in addition to the levels of the E3 ubiquitin ligase known to be associated with muscle atrophy, MAFbx. Akt activity/phosphorylation in addition to its total protein levels were decreased in the skeletal muscle during dehydration, and this corresponded with decreases in the relative phosphorylation of FoxO1 and FoxO3 as well on several residues. Akt is an inhibitor of FoxO1 and FoxO3 activity via phosphorylation, suggesting that FoxO activities were increased during dehydration stress. Furthermore, MAFbx showed decreased protein expression during high dehydration as well, suggesting that the clawed frog may exhibit some natural resistance to skeletal muscle atrophy during severe dehydration conditions. In addition to identifying that the suppression of Akt could lead to an activation of FoxO transcription factors in X. laevis during dehydration, these investigations suggest that X. laevis dehydration may implicate FoxO1 and FoxO3 in controlling skeletal muscle atrophy in X. laevis exposed to dehydration. This study implicates the Akt signaling pathway, its regulation of FoxO transcription factors, and FoxO-controlled targets, in stress adaptation against dehydration.
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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) | 0.002 | 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".