Abstract 452: Signal Transducer and Activator of Transcription 4 Deficiency Improves the Metabolic Phenotype and Skeletal Muscle Insulin Signaling in LDLr-/- Mice on Diabetogenic High-Cholesterol Diet
Bibliographic record
Abstract
Insulin resistance and type2 diabetes are associated with increased incidence of cardiovascular disease. About 80% of the subjects with type2 diabetes die due to cardiovascular complications. We previously showed that STAT4 deficiency improves insulin resistance in C57Bl6 mice on high fat diet and STAT4-/-ApoE-/- mice develop significantly lower atherosclerosis compared to ApoE-/- controls. The goal of this project was to determine the effect of STAT4 deficiency in a combined model of atherosclerosis and insulin resistance. To this purpose we generated STAT4-/-LDLr-/- mice and fed them either a chow diet or a high carbohydrate (36.6%), high cholesterol (0.15%) (DDC) diet for 16 weeks (n=7-10). The LDLr-/- on DDC diet developed glucose intolerance and insulin resistance as well as atherosclerosis and hypercholesterolemia compared to chow fed controls. STAT4-/-LDLr-/- mice on DDC diet, although hypercholesterolemic had significantly reduced atherosclerotic plaques by en face staining (p<0.05). Also STAT4 deficient mice on DDC diet had significantly lower area under curve for both the insulin and glucose tolerance tests (p<0.01), as well as reduced fasted glucose (p<0.05) compared to LDLr-/- mice despite similar body weights. Glucose stimulated insulin secretion in isolated pancreatic islets was blunted in LDLr-/- mice on DDC compared to chow controls and STAT4 deficiency restored the insulin secretion in islets from DDC fed mice at levels comparable to chow controls. In vivo insulin challenge showed reduced activation of IR, IRS-1 and Akt in LDLr-/- mice on DDC compared to chow controls in adipose tissue and skeletal muscle. STAT4-/-LDLr-/- on DDC diet had significantly improved activation of IRS-1 and Akt in skeletal muscle but not in adipose tissue. IR activation was constitutively higher in in STAT4-/-LDLr-/- mice on DDC compared to chow and did not change after insulin stimulation suggesting that STAT4 deficiency restores insulin signaling via a post-receptor mechanism. In conclusion, STAT4 deficiency reduces insulin resistance and improves glucose intolerance primarily by improving insulin signaling in skeletal muscle and by increasing islet insulin secretion. This may explain in part the athero-protective phenotype in STAT4-/-LDLr mice.
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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 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".