Epidermal tyrosine catabolism is critical for metabolic homeostasis and survival against high-protein diets in <i>Drosophila</i>
Bibliographic record
Abstract
Abstract The insect epidermis that forms the exoskeleton and determines the body size of an organism has the potential to respond and adapt to the changing nutritional environment. However, the extent to which the tissue contributes to adaptation to varying dietary protein availability, as well as its role as a metabolic regulator, remains incompletely understood. Here, we show that the Drosophila epidermis promptly reacts to dietary protein intake, promoting tyrosine (Tyr) catabolism. Among the enzymes involved in Tyr degradation, 4- hydroxyphenylpyruvate dioxygenase (Hpd) is particularly induced under high-protein regimens. We found that AMP-activated protein kinase (AMPK) pathway and forkhead box O subfamily (FoxO) induce Hpd expression. Impaired Hpd function in the epidermis leads to aberrant increases in internal Tyr levels and its metabolites, disrupting larval development under high-protein diets. Taken together, our findings uncover the critical role of epidermal metabolism in adapting to imbalanced protein environments and hence in promoting animal survival. Summary statement Tyrosine degradation is upregulated in Drosophila epidermal tissue via the AMPK-FoxO axis upon dietary high-protein stress.
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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".