Fatigue preconditioning increases fatigue resistance in mouse flexor digitorum brevis muscles with non‐functioning K<sub>ATP</sub>channels
Bibliographic record
Abstract
The objective of this study was to determine how an initial fatigue bout (FAT1 at 37°C) affects free myoplasmic Ca(2+) concentration and force ([Ca(2+)](i)/force) during a subsequent fatigue bout (FAT2) in mouse flexor digitorum brevis (FDB). During FAT1, both tetanic [Ca(2+)](i)/force decreased; however, they decreased to significantly lower levels when FAT1 was carried out in the presence of glibenclamide, a sarcolemmal K(ATP) (sK(ATP)) channel blocker. Glibenclamide also elicited greater increases in unstimulated [Ca(2+)](i)/force, which occurred when fibres failed to fully relax between contractions during FAT1. Finally, glibenclamide impaired force recovery after FAT1. The decreases in tetanic [Ca(2+)](i)/force and increases in unstimulated [Ca(2+)](i)/force were slower during FAT2 elicited 60 min after FAT1. Under control conditions, the effects were small with very few significant differences. In the presence of glibenclamide, on the other hand, the differences between FAT1 and FAT2 were very large. Unexpectedly, the differences in unstimulated and tetanic [Ca(2+)](i)/force between control and glibenclamide conditions observed during FAT1 were no longer observed during FAT2. The lack of differences was not related to a failure of glibenclamide to block K(ATP) channels during FAT2 because the effects of FAT1 on FAT2 were also observed using Kir6.2(-/-) mouse FDB, which lack sK(ATP) channel activity. The differences in [Ca(2+)](i)/force between FAT1 and FAT2 could be observed with FAT1 duration of just 30 s and a FAT1-FAT2 interval of at least 30 min. A modulation of factors involved in ischaemic pre-conditioning, i.e. A1-adenosine receptors, sK(ATP) and mitochondrial K(ATP) (mK(ATP)) channels, PKC and reactive oxygen species, during FAT1 had no effect on FAT2 fatigue kinetics. It is concluded that a preceding fatigue bout triggers an acute physiological process that prevents the contractile dysfunction induced by non-functioning K(ATP) channels.
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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) | 0.001 | 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 | 0.001 |
| 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".