Interventions in Aging and Age-Related Diseases: The Present and the Future
Bibliographic record
Abstract
We are using two model organisms, the budding yeast, Saccharomyces cerevisiae, and the nematode, Caenorhabditis elegans, to identify evolutionarily conserved determinants of longevity and to characterize the genetic factors involved in life span extension from calorie restriction. Through genome-wide studies of longevity in yeast, we have determined that calorie restriction slows aging by down-regulation of the TOR, PKA, and Sch9 (Akt) nutrient-responsive kinases, and we are testing the degree to which this mechanism is conserved in C. elegans. In addition, we are performing a systematic analysis of the aging properties of ortholog pairs, in which one ortholog is known to regulate longevity in either yeast or C. elegans. Thus far, our analysis suggests a significant enrichment of longevity-determining genes among ortholog pairs, providing quantitative evidence that genetic pathways influencing aging are evolutionarily conserved. Future efforts will be aimed at testing candidate conserved longevity determinants in mice and monitoring life span and other phenotypes associated with aging in these animals.
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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 | 0.007 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.002 | 0.005 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.005 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".