New insights into force depression in skeletal muscle
Bibliographic record
Abstract
Force depression observed following active shortening is not well understood. Previous research suggested that force depression might be associated with a stress-induced inhibition of cross-bridges in the newly formed overlap zone following shortening. Our aim was to investigate this theory in skinned fibres and determine whether there was an inhibition of the attachment of cross-bridges or a decrease in the force produced per cross-bridge. The stress-induced inhibition of cross-bridge theory gives testable predictions, including: (1) skinned fibres should show proportional force and stiffness depression, (2) force after shortening should not be lower than force before shortening, (3) stiffness following shortening should not be lower than stiffness before shortening and (4) force depression should decrease when the stress during shortening is decreased. In agreement with these predictions, force and stiffness depression were approximately proportional, and force depression decreased with decreasing stress during shortening. However, in contrast to the predictions of the stress-induced inhibition of cross-bridge theory, force after shortening from sarcomere lengths of 2.8 and 3.0 μm to a sarcomere length of 2.4 μm was smaller than force before shortening, and this was not accompanied by a corresponding decrease in stiffness. We conclude that the stress-induced inhibition of cross-bridge theory, as proposed previously, cannot be the only mechanism for force depression, but that there is an additional, stress-induced inhibition of cross-bridges in the old overlap zone. Furthermore, both mechanisms, inhibition of cross-bridge attachment and reduction of force produced per cross-bridge, contribute to force depression. Inhibition and/or reduction of force depend(s) on the amount of stress imposed on actin during the shortening phase.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".