AMPK regulation of cardiac growth‐related signaling in ob/ob mice following 2 weeks of AICAR treatment
Bibliographic record
Abstract
The aim of this study was to determine how AMP‐activated protein kinase (AMPK) regulates cardiac growth‐related pathways in lean and obese mice. 12 wk old male ob/ob (body weight (BW)=57.9g) and lean wild type (BW=30.3g) mice received and injection of 0.5 mg/g BW AICAR (AIC) in saline or a vehicle control (CON) for 2 wks. All mice were sacrificed 24 hrs after the last injection, including a 12 hr fast. Heart weights did not change for any of the groups. Western analysis of heart lysate from fasted ob/ob CON mice displayed reduced AMPK T172 and ACC S79 phosphorylation compared with lean CON, which increased in both groups after the 2 wk AIC treatment. Immunoprecipitations (IP) of tuberin displayed a reduced association with hamartin in ob/ob CON versus the lean CON, which relatively increased in both groups following AIC treatment. IPs for mTOR displayed comparable levels of raptor association in the CON groups, and increased similarly following AIC treatment. Fasted ob/ob CON mice displayed higher S6K1 T389, ribosomal protein S6 S240/244, and 4E‐BP1 T37/46 phosphorylation than lean CON, which was attenuated by AIC treatment. These data suggest that obese mice display elevated cardiac growth‐related signaling that precedes cardiac hypertrophy, and acute treatment with an AMPK activator attenuates growth‐signaling and the progression toward cardiac hypertrophy. Support: WVU Research Development Grant NT10023W (to DLW)
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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".