Insulin rapidly increases skeletal muscle mitochondrial ADP sensitivity in the absence of a high lipid environment
Bibliographic record
Abstract
Reductions in mitochondrial function have been proposed to cause insulin resistance, however the possibility that impairments in insulin signaling negatively affects mitochondrial bioenergetics has received little attention. Therefore, we tested the hypothesis that insulin could rapidly improve mitochondrial ADP sensitivity, a key process linked to oxidative phosphorylation and redox balance, and if this phenomenon would be lost following high-fat diet (HFD)-induced insulin resistance. Insulin acutely (60 min post I.P.) increased submaximal (100-1000 µM ADP) mitochondrial respiration ∼2-fold without altering maximal (>1000 µM ADP) respiration, suggesting insulin rapidly improves mitochondrial bioenergetics. The consumption of HFD impaired submaximal ADP-supported respiration ∼50%, however, despite the induction of insulin resistance, the ability of acute insulin to stimulate ADP sensitivity and increase submaximal respiration persisted. While these data suggest that insulin mitigates HFD-induced impairments in mitochondrial bioenergetics, the presence of a high intracellular lipid environment reflective of an HFD (i.e. presence of palmitoyl-CoA) completely prevented the beneficial effects of insulin. Altogether, these data show that while insulin rapidly stimulates mitochondrial bioenergetics through an improvement in ADP sensitivity, this phenomenon is possibly lost following HFD due to the presence of intracellular lipids.
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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 | 0.000 | 0.001 |
| 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".