Nandrolone decanoate increases satellite cell numbers in the chicken pectoralis muscle.
Bibliographic record
Abstract
The anabolic androgenic steroid nandrolone decanoate has minimal androgenic effects and, thus, is widely used to induce muscle hypertrophy in both patients and athletes. Although increases in satellite cell numbers and satellite cells giving rise to new myonuclei are associated with hypertrophy in many experimental models, the relationship between nandrolone and satellite cells is poorly understood. Here we test the hypothesis that nandrolone administration is associated with an increase in satellite cell numbers in muscle. Nandrolone was injected at weekly intervals for four weeks into the right pectoralis muscle of female white leghorn chickens aged 63 days post hatch. Age/size/sex matched control birds received saline injections. The contralateral pectoralis was excised for study from each control and nandrolone treated bird. An antibody against Pax7 and immunocytochemical techniques were used to identify satellite cells. Nandrolone significantly increased mean pectoralis mass by approximately 22%, and mean fiber diameter by about 24%. All satellite cell indices that were quantified increased significantly in chicken pectoralis with administration of nandrolone. Nandrolone injected birds had on average higher satellite cell frequencies (#SC nuclei/all nuclei within basal lamina), number of satellite cells per millimeter of fiber, and satellite cell concentrations (closer together). Myonuclei were further apart (less concentrated) in nandrolone injected muscle. However, an overall increase in myonuclear numbers was revealed by a significantly greater mean number of myonuclei per millimeter of fiber in nandrolone injected muscle. Our results suggest that satellite cells may be key cellular vectors for nandrolone induced muscle fiber hypertrophy.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".