Accelerated senescence in kidneys of low-birth-weight rats after catch-up growth
Bibliographic record
Abstract
Epidemiological studies show a strong association between low birth weight and hypertension, renal, and cardiovascular disease, especially after catch-up growth. Senescence is an important contributor to the progression of chronic disease. Developmentally programmed premature senescence may be a link among low birth weight, catch-up growth, and adult disease. Low birth weight was induced by feeding pregnant rats a low-protein diet from day 12 of gestation to 10 days postdelivery. Low- and normal-birth-weight male offspring were weaned onto regular or high-calorie diets to enhance catch-up growth. Kidneys and hearts of offspring were analyzed for RNA and protein markers of stress-induced senescence (p16, p21, p53, Rb). Markers of mitochondrial stress (p66Shc) and activation of endoplasmic reticulum protein secretion (Ero1alpha) were analyzed as regulators of reactive oxygen species generation. Reactive oxygen species are known to be associated with premature aging. Senescence markers were not different in low- or normal-birth-weight kidneys at birth. During rapid catch-up growth, p16 and p21 increased significantly in low-birth-weight kidneys and hearts (P < 0.01). Renal p16 levels increased progressively and were significantly higher in low-birth-weight kidneys at 3 and 6 mo (P < or = 0.02). Renal p66Shc and Ero1alpha were significantly higher in low- compared with normal- birth-weight kidneys at 6 mo, suggesting reactive oxygen species generation (P < or = 0.03). Low-birth-weight rats exhibit accelerated senescence in kidneys and hearts after rapid catch-up growth, a likely important link between early growth and subsequent hypertension, renal, and cardiovascular disease.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".