Enhanced survival of Drosophila <i>Akt1</i> hypomorphs during amino-acid starvation requires <i>foxo</i>
Bibliographic record
Abstract
Disordered eating includes any pattern of irregular eating that may lead to either extreme weight loss or obesity. The conserved insulin receptor signalling pathway acts to regulate energy balance and nutrient intake, and its central component Akt1 and endpoint effector foxo are pivotal for survival during nutritional stress. Recently generated Akt1 hypomorphic mutant lines exhibit a moderate decrease in lifespan when aged upon standard media, yet show a considerable increase in survival upon amino-acid starvation media. While the loss of foxo function significantly reduces the survival response to amino-acid starvation, a combination of these Akt1 hypomorphs and a null foxo mutation reveal a synergystic and severe reduction in lifespan upon standard media, and an epistatic relationship when undergoing amino-acid starvation. Evaluation of survivorship upon amino-acid starvation media of these double mutants indicate a phenotype similar to the original foxo mutant demonstrating the role of foxo in this Akt1 phenotype. These results indicate that the subtle manipulation of foxo through Akt1 can enhance survival during adverse nutrient conditions to model the ability of individuals to tolerate nutrient deprivation. Ultimately, we believe that a Drosophila model of disordered eating could generate new avenues to develop potential therapies for related human conditions.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".