Angiotensin 1–7 increases fiber cross-sectional area and force in juvenile mouse skeletal muscle
Bibliographic record
Abstract
Recent studies reported that in skeletal muscle angiotensin 1–7 (Ang 1–7), via its receptor Mas (MasR), prevents the atrophy induced by angiotensin II and by cast immobilization; it also improves muscle integrity and function in the mdx mouse, a muscular dystrophy model. The objectives of this study were to document 1) the extent of the Ang 1–7’s hypertrophic effect in terms of muscle mass and muscle fiber cross-sectional area (CSA), 2) how Ang 1–7 affects muscle contractile function in terms of twitch and tetanic force, force-frequency relationship, and 3) whether the effect involves MasR. Wild-type and MasR-deficient [Mas receptor knockout mouse model ( MasR−/−)] mice were treated with Ang 1–7 (100 ng/kg body wt·min using an osmotic pump) for 4 or 16 wk. Ang 1–7 significantly increased skeletal muscle/body weight ratio of soleus, tibialis, and gastrocnemius, but not of extensor digitorum longus (EDL). It significantly increased fiber cross-sectional area in the order of type I > IIA > IIB. In EDL and soleus muscles, it significantly increased twitch and tetanic force while causing a shift in the force-frequency relationship toward lower stimulation frequencies. It had no effect on fiber type composition. None of the Ang 1–7 effects observed in wild-type mice were observed in MasR−/− muscles. It caused a transient increase in phosphorylated protein kinase B (Akt) and 4EBP proteins while having no effect on S6 phosphorylation, MuRF-1, and atrogin-1 and a decrease in PAX7 expression in satellite cells. This is the first study demonstrating the hypertrophic effects of Ang 1–7 in normal muscle acting via its MasR.
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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) | 0.001 | 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 | 0.001 | 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".