The peak force-resting membrane potential relationships of mouse fast- and slow-twitch muscle
Bibliographic record
Abstract
We endeavored to understand the factors determining the peak force-resting membrane potential ( EM) relationships of isolated slow-twitch soleus and fast-twitch extensor digitorum longus (EDL) muscles from mice (25°C), especially in relation to fatigue. Interrelationships between intracellular K+ activity ([Formula: see text]), extracellular K+ concentration ([K+]o), resting EM, action potentials, and force were studied. The large resting EM variation was mainly due to the variability of [Formula: see text]. Action potential overshoot-resting EM relationships determined at 4 and 8–10 mM [K+]o after short (<5 min) and prolonged (>50 min) depolarization periods revealed a constant overshoot from −90 to −70 mV providing a safety margin. Overshoot decline with depolarization beyond −70 mV was less after short than prolonged depolarization. Inexcitable fibers occurred only with prolonged depolarization. The overshoot decline during action potential trains (2 s) exceeded that during short depolarizations. Concomitant lower extracellular [Na+] and raised [K+]o depressed the overshoot in an additive manner and peak force in a synergistic manner. Raised [K+]o-induced force loss was exacerbated with transverse wire versus parallel plate stimulation in soleus, implicating action potential propagation failure in the surface membrane. Increasing stimulus pulse parameters restored tetanic force at 9–10 mM [K+]o in soleus but not EDL, indicative of action potential failure within trains. The peak tetanic force-resting EM relationships (determined with resting EM from deeper rather than surface fibers) were dynamic and showed pronounced force depression over −69 to −60 mV in both muscle types, implicating that such depolarization contributes to fatigue. The K+-Na+ interaction shifted this relationship toward less depolarized potentials, suggesting that the combined ionic effect is physiologically important during fatigue.
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".