Oxidative Stress Promotes Eating Behavior and Obesity in C. elegans via EGL-4 / DAF-16 Signaling
Bibliographic record
Abstract
Oxidative stress is associated with pathophysiological progress of many diseases. The objective of study was to investigate whether increased environmental oxidative stress stimulation can promote excessive eating behavior, a common cause of obesity, and to identify the molecular mechanism.The cGMP-dependent kinase (PKG) activator 8-pCPT-cGMP was applied in worm swimming assay to study behavior shifting between quiescence and foraging in C. elegans. Genetically modified C. elegans (egl-4 loss or gain of function, and daf-16 mutant) were treated with paraquat, an oxidative stress inducer. Worm’s foraging behavior, body fat accumulation and body length were determined. The foxo1::gfp-transfectedHEK293 cells and C. elegans (daf-16::gfpTJ356) were further used to examine the effect of paraquat on PKG expression and FOXO nuclear translocation.A novel swimming assay using PKGactivator stimulation was developed, which allows the rapid and effective study of foraging behavior in C. elegans. Paraquat treatment significantly inhibited quiescence, promoted foraging behavior, increased body fat accumulation and body growth. These responses were associated with diminished PKG expression/activation and increased FOXO (DAF-16) nuclear translocation in both transfected C. elegans and HEK293 cells.Our data suggest that PKG/FOXO signaling may plays an important role in mediating oxidative stress-induced excessive eating behavior and obesity development.
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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) | 0.001 | 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".