Mechanisms underlying longevity: A genetic switch model of aging
Bibliographic record
Abstract
While the questions of "What causes aging?" and "Why do we age?" and "How can we stop it?" remain unanswered, recent advances in aging research have continued to increase our understanding of the aging process. Until the last couple of decades, aging was viewed as an inevitable process of damage accumulation and not a subject for scientific pursuit. This view changed when it was demonstrated that the aging process is in fact malleable and genetically determined: mutations in single genes can have dramatic effects on longevity. Despite the rapid advancement of our knowledge about aging, the cause of aging remains unclear. In this paper, experiments demonstrating the roles of genetics and epigenetics in modulating longevity are reviewed, concluding with a new model of aging. This genetic switch model of aging proposes that aging is caused by a genetically-programmed turning off of survival and maintenance pathways after reproduction finishes leading to a progressive functional decline. If this model is correct, it may be possible to extend lifespan and healthspan by identifying the molecular pathways involved and simply turning the switch back on.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".