Sexual dimorphism and androgen regulation of satellite cell population in differentiating rat levator ani muscle
Bibliographic record
Abstract
The bulbocavernosus (BC) and levator ani (LA) muscles of rats show remarkable androgen-dependent sexual dimorphism. These muscles are additionally of interest because they are thought to indirectly mediate sexual differentiation of innervating spinal motoneurons. This sexual differentiation of the BC/LA is thought to be due to an increase in muscle units in the male rat during the first week after birth. We examined the cellular basis of this differentiation by studying satellite cells in the LA of postnatal day 2.5 rats, when sexual dimorphism is already prominent. Two experiments were performed in which LA satellite cells were measured: (1) wild-type (WT) males were compared with females and to Tfm androgen receptor mutant males, which are androgen insensitive despite producing masculine amounts of testosterone, and (2) females treated prenatally and/or postnatally with testosterone proprionate were compared with females receiving vehicle injections. Our results indicate that WT males have a larger LA and a greater number of satellite cells in the LA muscle than females or Tfm males. However, satellite cell density was similar for all three groups. Prenatal testosterone treatment masculinized LA size and resulted in a corresponding increase in satellite cell populations, while postnatal TP treatment resulted in a tendency for increased satellite cell density without a significant increase in LA size. Taken together, these studies indicate that satellite cells in the neonatal LA muscle are sexually dimorphic, and that this dimorphism likely results from perinatal actions of androgens on androgen receptors.
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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".