<i>C. elegans</i> Mediator 15 permits low temperature-induced longevity via regulation of lipid and protein homeostasis
Bibliographic record
Abstract
Abstract Low temperatures slow aging and extend lifespan in many organisms, including Caenorhabditis elegans. However, the metabolic and homeostatic aspects of low temperature-induced longevity remain poorly understood. Here, we show that changes in lipid composition regulated by MDT-15/Mediator 15, transcriptional co-regulator, is essential for low temperature-induced longevity and proteostasis in C. elegans. We find that inhibition of mdt - 15 prevents animals from living long at low temperatures. We show that MDT-15 up-regulates fat - 7 , a fatty acid desaturase, at low temperatures, which increases the ratio of unsaturated to saturated fatty acids. We further demonstrate that maintaining this increased fatty acid ratio is essential for protein homeostasis and longevity at low temperatures. Thus, the homeostasis of lipid composition by MDT-15 appears to be a limiting factor for C. elegans proteostasis and longevity at low temperatures. Our findings highlight the crucial roles of fat regulation in maintaining normal organismal physiology under different environmental 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 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".