Lipid Metabolism is Closely Associated with Normal Testicular Growth Based on Global Transcriptome Profiles in Normal and Underdeveloped Testis of Obese Zucker (<i>fa/fa</i>) Rats
Bibliographic record
Abstract
Zucker (fa/fa) obese rats often have non-identical and differently sized paired testes, leaving one testis underdeveloped. Our earlier study found that the underdeveloped testes, > 30% smaller than the normal ones, have a selective decrease in docosapentaenoic acid (22:5n-6), a dominant fatty acid in the testes. This study was conducted to examine global testicular transcriptome profile in underdeveloped testes relative to developed ones using Rat Gene 2.0 ST Array (Affymetrix, USA). Testes were obtained from 14-week-old, sexually mature male obese (fa/fa) Zucker rats. Out of the 1790 transcripts differentially expressed, 1108 and 682 were over-expressed in the underdeveloped and normal testis, respectively (fold change ≥ 2 and P < 0.05). The ingenuity pathway analysis indicated that transcripts that were under-expressed in the underdeveloped testis, relative to the normal testes, are involved in triacylglycerol biosynthesis, sphingomyelin metabolism and phosphatidylglycerol biosynthesis. Transcripts that were over-expressed in underdeveloped testes, relative to normal testis, are involved in the production of nitric oxide and reactive oxygen species, and nuclear factor (erythroid-derived 2)-like 2 mediated oxidative stress responses. These data indicate that genes involved in lipid metabolism and oxidative stress play a crucial role in testicular growth and the maintenance of testical health.
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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 | 0.001 | 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".