K <sub>ATP</sub> channel deficiency impairs Ca <sup>2+</sup> release, Ca <sup>2+</sup> regulation and causes fiber damage during fatigue in single FDB muscle fibers.
Bibliographic record
Abstract
K ATP channel deficiency causes fiber damage in mouse type IIB fibers during treadmill running, large increase in resting tension during fatigue and reduction in the capacity to recover force following fatigue. The objective of this study was to determine how a K ATP channel deficiency affects intracellular calcium levels between and during contractions in single FDB muscle fibers fatigued at 37°C with one tetanic contraction every sec for 3 min. For all wild type fibers (control), peak calcium level during contraction increased forthe first 10–15 sec before it decreased. The decreases in peak calcium were divided into two patterns. For the first pattern, the decrease was slow and after 3 min peak calcium was still above the pre‐fatigue level (fatigue resistant fibers). For the second pattern, the decrease was much faster and peak calcium was significant less than pre‐fatigue level after 3 min (non‐fatigue resistant fibers). K ATP channel deficient muscle fibers were obtained i) by exposing wild type fibers to glibenclamide, a channel blocker, or ii) by using fibers from the null mice for the Kir6.2 gene. The lack of K ATP channel activity did not affect the initial increase in peak calcium. However, the subsequent decrease in peak calcium was much faster and greater than in control fibers. Furthermore, many fibers completely stop releasing calcium upon stimulation. Finally, several fibers were damaged in the absence of K ATP channel activity. The calcium levels between contraction increased during fatigue and to a greater extent in K ATP channel deficient fibers; the largest increases being in damaged fibers. It is suggested that in the absence of K ATP channel activity the greater resting tension is linked to greater resting calcium level while the decreased capacity to recover force is linked to loss of damaged fibers.
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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 | 0.000 |
| 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 | 0.001 | 0.000 |
| 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".