A Glucagon-Like Peptide-1 Analog Reverses the Molecular Pathology and Cardiac Dysfunction of a Mouse Model of Obesity
Bibliographic record
Abstract
BACKGROUND: Cardiac consequences of obesity include inflammation, hypertrophy, and compromised energy metabolism. Glucagon-like peptide-1 is an incretin hormone capable of cytoprotective actions that reduces inflammation and endoplasmic reticulum stress in other tissues. Here we examine the cardiac effects of the glucagon-like peptide-1 analog liraglutide in a model of obesity, independent of changes in body weight. METHODS AND RESULTS: C57Bl6 mice were placed on a 45% high-fat diet (HFD) or a regular chow diet. Mice on HFD developed 46±2% and 60±2% greater body weight relative to regular chow diet-fed mice at 16 and 32 weeks, respectively (both P<0.0001), manifesting impaired glucose tolerance, insulin resistance, and cardiac ceramide accumulation by 16 weeks. One-week treatment with liraglutide (30 µg/kg twice daily) did not reduce body weight, but reversed insulin resistance, cardiac tumor necrosis factor-α expression, nuclear factor kappa B translocation, obesity-induced perturbations in cardiac endothelial nitric oxide synthase, connexin-43, and markers of hypertrophy and fibrosis, in comparison with placebo-treated HFD controls. Liraglutide improved the cardiac endoplasmic reticulum stress response and also improved cardiac function in animals on HFD by an AMP-activated protein kinase-dependent mechanism. Supporting a direct mechanism of action, liraglutide (100 nmol/L) prevented palmitate-induced lipotoxicity in isolated mouse cardiomyocytes and primary human coronary smooth muscle cells and prevented adhesion of human monocytes to tumor necrosis factor-α-activated human endothelial cells in vitro. CONCLUSIONS: Weight-neutral treatment with a glucagon-like peptide-1 analog activates several cardioprotective pathways, prevents HFD-induced insulin resistance and inflammation, reduces monocyte vascular adhesion, and improves cardiac function in vivo by activating AMP-activated protein kinase. These data support a role for glucagon-like peptide-1 analogs in limiting the cardiovascular risks of obesity.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".