Extension of Human Cell Lifespan by Nicotinamide Phosphoribosyltransferase
Bibliographic record
Abstract
Extending the productive lifespan of human cells could have major implications for diseases of aging, such as atherosclerosis. We identified a relationship between aging of human vascular smooth muscle cells (SMCs) and nicotinamide phosphoribosyltransferase (Nampt/PBEF/Visfatin), the rate-limiting enzyme for NAD+ salvage from nicotinamide. Replicative senescence of SMCs was preceded by a marked decline in the expression and activity of Nampt. Furthermore, reducing Nampt activity with the antagonist FK866 induced premature senescence in SMCs, assessed by serial quantification of the proportion of cells with senescence-associated beta-galactosidase activity. In contrast, introducing the Nampt gene into aging human SMCs delayed senescence and substantially lengthened cell lifespan, together with enhanced resistance to oxidative stress. Nampt-mediated SMC lifespan extension was associated with increased activity of the NAD+-dependent longevity enzyme SIRT1 and was abrogated in Nampt-overexpressing cells transduced with a dominant-negative form of SIRT1 (H363Y). Nampt overexpression also reduced the fraction of p53 that was acetylated on lysine 382, a target of SIRT1, suppressed an age-related increase in p53 expression, and increased the rate of p53 degradation. Moreover, add-back of p53 with recombinant adenovirus blocked the anti-aging effects of Nampt. These data indicate that Nampt is a longevity protein that can add stress-resistant life to human SMCs by optimizing SIRT1-mediated p53 degradation.
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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 | 0.000 |
| 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".