Glucose enrichment accelerates <i>C. elegans</i> reproductive aging via non-autonomous DAF-2/insulin-like receptor signaling in somatic tissues
Bibliographic record
Abstract
Abstract Detrimental effects of chronic high-sugar overconsumption can extend from molecular and cellular responses to systemic changes. Reproductive systems are particularly sensitive to diet and energetic state, yet the long-term reproductive consequences of overnutrition are poorly defined. Here, we used Caenorhabditis elegans to study the impacts of glucose excess on reproductive aging. Glucose supplementation shortens C. elegans lifespan, and we found that it also hastens age-related reproductive decline, evidenced by a greater deterioration in oocyte quality and lower fertility with age. We next evaluated insulin-like signaling contributions, as this glucose-responsive pathway is well known to regulate both somatic aging and reproductive aging. Intriguingly, while 20 mM glucose enrichment still shortens the lifespan of daf-2(e1370) mutants, we found that it had no detrimental impact on their reproductive aging phenotypes. Using auxin-induced tissue-selective degradation, we discovered that DAF-2/insulin-like receptor signaling in C. elegans intestine and body wall musculature is required for glucose enrichment to exert damaging impacts on the reproductive system. However, suppressing insulin-like signaling in either of these tissues is sufficient to protect C. elegans against glucose-induced reproductive aging. These findings suggest that insulin-like signalling in metabolically active somatic tissues may represent a key link between overnutrition and reproductive aging.
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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) | 0.001 | 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 | 0.000 |
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".