Investigating the temporal effects of ovarian failure on single muscle fibre contractility using a chemically-induced ovarian failure model in mice
Bibliographic record
Abstract
Abstract We investigated the effects of chemically-induced ovarian failure on single muscle fibre contractility of the soleus and extensor digitorum longus (EDL) muscles throughout ovarian failure, thereby mimicking the menopausal transition into late-stage menopause: [(D60;peri-menopause), (D120;onset of menopause), (D134;early-onset menopause), (D176;late-stage menopause)]. We used 4-vinylcyclohexene diepoxide (VCD) to induce ovarian failure in sexually-mature female mice. At D120 and D176, mice with VCD-induced ovarian failure produced higher force as compared with controls (p<0.05). On D134, however, VCD had lower force production compared with controls (p<0.05). The cross-sectional area of the soleus fibres from the VCD group was larger at D120 compared with controls (p<0.05), but not at any other time point (p>0.05). As well, at D120-D176, the proportion of Type II fibres relative to Type I increased for the soleus, but not the EDL. No differences in rate of force redevelopment (Ktr) was observed for the soleus (p>0.05), while calcium sensitivity increased by late-stage menopause (p<0.05). There were no differences in force, cross-sectional area, stiffness, Ktr, or calcium sensitivity between groups for the EDL (p>0.05). Muscle contractility across the peri-menopausal transition into late-stage menopause is both muscle and phase-dependent, emphasizing the complexity of changing hormones throughout the lifespan on muscle contractile function.
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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 | 0.001 |
| 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".