Liraglutide prevents fast weight gain and β-cell dysfunction in male catch-up growth rats
Bibliographic record
Abstract
We reported recently that after a nutritional growth retardation, rats showed significant weight gain, central fat accumulation, dyslipidemia, and β-cell dysfunction during a catch-up growth (CUG) phase. Here, we investigated whether glucagon-like peptide-1 (GLP-1) ameliorated the rapid weight gain, central fat deposition, and β-cell dysfunction during the CUG in rats. Sixty-four male Sprague Dawley rats were stratified into four groups including normal control group, CUG group, catch-up growth with liraglutide treatment group, and catch-up growth with liraglutide and exendin 9-39 treatment group. Energy intake, body weight, and body length were monitored. Fat mass percentage was analyzed by dual energy X-ray absorptiometry scan. Plasma triglyceride and non-esterified fatty acid were measured. The β-cell mass was analyzed by morphometric analysis and signaling molecules were examined by Western blot and real-time PCR. Insulin secretion capability was evaluated by hyperglycemic clamp test. Liraglutide prevented weight gain and improved lipid and glucose metabolism in rats under CUG conditions, which were associated with reduced fasting insulin levels and improved glucose-stimulated insulin secretion. Improved β-cell function is found to be associated with increased β-cell replication as determined by β-cell density and insulin-Ki67 dual staining. Furthermore, liraglutide increased islet pancreatic duodenal homeobox-1 (Pdx-1) and B-cell lymphoma-2 transcript and protein expression, and reduced Procaspase-3 transcript and Caspase-3 p11 subunit protein expression, suggesting that expression of Pdx-1 and reduction of apoptosis may be the mechanisms involved. The therapeutic effects were attenuated in rats co-administered with exendin 9-39, suggesting a GLP-1 receptor-dependent mechanism. These studies revealed that incretin therapy effectively prevented fast weight gain and β-cell dysfunction in rats under conditions of nutrition restriction followed by nutrition excess, which is in part due to enhanced functional β-cell mass and insulin secretory capacity.
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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".