The Effects of Long-Term Vitamin E Treatment on Gene Expression and Oxidative Stress Damage in the Aging Brown Norway Rat Epididymis1
Bibliographic record
Abstract
The male reproductive tract of the Brown Norway rat is profoundly affected by aging. In the epididymis, the site of sperm maturation and storage, aging results in histological and biochemical changes that are suggestive of oxidative stress. Vitamin E is a potent lipid-soluble antioxidant that ameliorates the oxidative stress load associated with some chronic disease conditions. To determine the effects of long-term (18-mo) vitamin E deficiency and supplementation on aging in the epididymis, we assessed gene expression changes using cDNA microarrays and lipid peroxidation using immunohistochemical detection of 4-hydroxynonenal (4-HNE) in 24-mo-old rats. Plasma vitamin E levels were significantly lower in vitamin E-deficient animals and higher in vitamin E-supplemented animals compared with age-matched controls. Vitamin E deficiency resulted in increased expression of oxidative stress-related transcripts along the epididymis. This effect was most marked in the corpus epididymidis, where expression of glutathione S-transferases pi, 8, and mu, as well as superoxide dismutase, increased by over 50%. The effect of vitamin E supplementation on the expression of oxidative stress-related transcripts was primarily decreased expression; however, the magnitude of the gene expression changes was smaller than that observed for vitamin E deficiency. 4-HNE immunostaining was present throughout the epididymis in control animals. Vitamin E deficiency both increased the intensity and altered the distribution of 4-HNE staining, while vitamin E supplementation had no observable effect. In summary, we found that long-term vitamin E treatment alters the expression of oxidative stress-related transcripts. Moreover, long-term vitamin E deficiency exacerbates the effects of age on the accumulation of oxidative stress damage in the epididymis.
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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) | 0.000 | 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) | 0.000 | 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".