Effects of dexamethasone administration on insulin resistance and components of insulin signaling and glucose metabolism in equine skeletal muscle
Bibliographic record
Abstract
OBJECTIVE: To determine the effects of dexamethasone treatment on selected components of insulin signaling and glucose metabolism in skeletal muscle obtained from horses before and after administration of a euglycemic-hyperinsulinemic clamp (EHC). ANIMALS: 6 adult Standardbreds. PROCEDURES: In a balanced crossover study, horses received either dexamethasone (0.08 mg/kg, IV, q 48 h) or an equivalent volume of saline (0.9% NaCl) solution, IV, for 21 days. A 2-hour EHC was administered for measurement of insulin sensitivity 1 day after treatment. Muscle biopsy specimens obtained before and after the EHC were analyzed for glucose transporter 4, protein kinase B (PKB), glycogen synthase kinase (GSK)-3alpha/beta protein abundance and phosphorylation state (PKB Ser(473) and GSK-3alpha/beta Ser(21/9)), glycogen synthase and hexokinase enzyme activities, and muscle glycogen concentration. RESULTS: Dexamethasone treatment resulted in resting hyperinsulinemia and a significant decrease (70%) in glucose infusion rate during the EHC. In the dexamethasone group, increased hexokinase activity, abrogation of the insulin-stimulated increase in glycogen synthase fractional velocity, and decreased phosphorylation of GSK-3alpha Ser(21) and GSK-3B Ser(9) were detected, but there was no effect of dexamethasone treatment on glucose transporter 4 content and glycogen concentration or on PKB abundance and phosphorylation state. CONCLUSIONS AND CLINICAL RELEVANCE: In horses, 21 days of dexamethasone treatment resulted in substantial insulin resistance and impaired GSK-3 phosphorylation in skeletal muscle, which may have contributed to the decreased glycogen synthase activity seen after insulin stimulation.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".