Metabolic effects of insulin on cardiomyocytes from control and diabetic<i>db/db</i>mouse hearts
Bibliographic record
Abstract
Diabetic db/db mice exhibit profound insulin resistance in vivo, but the specific degree of cardiac insensitivity to insulin has not been assessed. Therefore, the effect of insulin on cardiomyocytes from db/db hearts was assessed by measuring two metabolic responses (deoxyglucose uptake and fatty acid oxidation) and the phosphorylation of two enzymes in the insulin-signaling cascade [Akt and AMP-activated protein kinase (AMPK)]. Maximal insulin-stimulated deoxyglucose transport was reduced to 58 and 40% of control in cardiomyocytes from db/db mice at two ages (6 and 12 wk). Insulin-stimulated deoxyglucose uptake was also reduced in myocytes from transgenic db/db mice overexpressing the insulin-sensitive glucose transporter (db/db-hGLUT4). Treatment of db/db mice for 1 wk with an insulin-sensitizing peroxisome proliferator-activated receptor-gamma agonist (COOH) completely normalized insulin-stimulated deoxyglucose uptake. Insulin had no direct effect on palmitate oxidation by either control or db/db cardiomyocytes, but the combination of insulin and glucose reduced palmitate oxidation, likely an indirect effect secondary to increased glucose uptake. Insulin had no effect on AMPK phosphorylation from either control or db/db cardiomyocytes. Insulin increased the phosphorylation of Akt in all cardiomyocyte preparations (control, db/db, COOH-treated db/db) to the same extent. Thus insulin has selective metabolic actions in mouse cardiomyocytes; deoxyglucose uptake and Akt phosphorylation are increased, but fatty acid oxidation and AMPK phosphorylation are unchanged. Insulin resistance in db/db cardiomyocytes is manifested by reduced insulin-stimulated deoxyglucose uptake.
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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 | 0.000 |
| 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) | 0.002 | 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".