K<sub>ATP</sub> channel deficiency in mouse FDB causes an impairment of energy metabolism during fatigue
Bibliographic record
Abstract
The skeletal muscle ATP-sensitive K+ (KATP) channel is crucial in preventing fiber damage and contractile dysfunction, possibly by preventing damaging ATP depletion. The objective of this study was to investigate changes in energy metabolism during fatigue in wild-type and inwardly rectifying K+ channel (Kir6.2)-deficient (Kir6.2−/−) flexor digitorum brevis (FDB), a muscle that lacks functional KATP channels. Fatigue was elicited with one tetanic contraction every second. Decreases in ATP and total adenylate levels were significantly greater in wild-type than Kir6.2−/− FDB during the last 2 min of the fatigue period. Glycogen depletion was greater in Kir6.2−/− FDB for the first 60 s, but not by the end of the fatigue period, while there was no difference in glucose uptake. The total amount of glucosyl units entering glycolysis was the same in wild-type and Kir6.2−/− FDB. During the first 60 s, Kir6.2−/− FDB generated less lactate and more CO2; in the last 120 s, Kir6.2−/− FDB stopped generating CO2 and produced more lactate. The ATP generated during fatigue from phosphocreatine, glycolysis (lactate), and oxidative phosphorylation (CO2) was 3.3-fold greater in Kir6.2−/− than wild-type FDB. Because ATP and total adenylate were significantly less in Kir6.2−/− FDB, it is suggested that Kir6.2−/− FDB has a greater energy deficit, despite a greater ATP production, which is further supported by greater glucose uptake and lactate and CO2 production in Kir6.2−/− FDB during the recovery period. It is thus concluded that a lack of functional KATP channels results in an impairment of energy metabolism.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".