PBI-4547 Improves Glucose Metabolism and Insulin Resistance, and Reduces Liver Damage in a High-Fat Diet Mouse Model of Obesity and Metabolic Syndrome
Bibliographic record
Abstract
Introduction and Aims: Obesity and its resulting metabolic disturbances are major health threats and are the main cause of a host of diseases, including nonalcoholic fatty liver disease (NAFLD). PBI-4547 is a novel first-in-class orally active antidiabetic compound which displays pleiotropic activities and has been shown to reduce NASH, diabetes, and renal fibrosis in different animal models. The aim of this study was to investigate the effects of PBI-4547 in a mouse model of high-fat diet-induced obesity and metabolic syndrome. Methods: C57BL/6 mice were fed with either a standard or a high-fat diet (HFD, Harlan, TD.06414) for 14 weeks. These mice were divided in three groups [normal chow, HFD + vehicle, and HFD + PBI-4547 (10 mg/kg, oral once a day)] and treated for an additional 6 weeks. Blood glucose, serum insulin level, serum triglyceride and adiponectin, liver histology, as well as liver and white adipose tissue (WAT) pro-inflammatory/fibrotic gene expression were examined. Results: In an oral glucose tolerance test, PBI-4547 increased glucose metabolism compared to the HFD control group. Insulin resistance (measured by HOMA-IR) and β cell function (HOMA1-β) were improved by PBI-4547. Serum triglyceride level was significantly reduced by PBI-4547 while adiponectin in serum was significantly increased. Histological analysis showed a significant reduction of hepatic steatosis and ballooning by PBI-4547. To further characterize the activity of PBI-4547, quantitative RT-PCR analysis of pro-fibrotic markers was performed, demonstrating that PBI-4547 reduced CTGF and MMP2 gene expression in the liver as well as CTGF, MCP-1, MMP2 and collagen type I gene expression in the WAT. Conclusions: Taken together, these results suggest that PBI-4547 offers the potential as a novel therapy for nonalcoholic fatty liver disease, obesity and associated metabolic syndrome. Disclosure M. Leduc: Employee; Self; Prometic Biosciences Inc.. Stock/Shareholder; Self; Prometic Life Sciences Inc. B. Grouix: Employee; Self; Prometic Biosciences Inc.. Stock/Shareholder; Self; Prometic Life Sciences Inc. M. Tremblay: Employee; Self; Prometic Biosciences Inc.. Stock/Shareholder; Self; Prometic Life Sciences Inc. L. Gervais: Employee; Self; Prometic Biosciences Inc.. Stock/Shareholder; Self; Prometic Life Sciences Inc. F. Sarra-Bournet: Employee; Self; Prometic Biosciences Inc.. Stock/Shareholder; Self; Prometic Life Sciences Inc. A. Felton: Employee; Self; Prometic Biosciences Inc.. Stock/Shareholder; Self; Prometic Life Sciences Inc. J. Simard: Employee; Self; Prometic Biosciences Inc.. Stock/Shareholder; Self; Prometic Life Sciences Inc. F.A. Leblond: Employee; Self; Prometic Biosciences Inc.. Stock/Shareholder; Self; Prometic Life Sciences Inc. P. Laurin: Employee; Self; Prometic Biosciences Inc.. Stock/Shareholder; Self; Prometic Life Sciences Inc.. Board Member; Self; Prometic Life Sciences Inc. L. Gagnon: Employee; Self; Prometic Biosciences Inc.. Stock/Shareholder; Self; Prometic Life Sciences Inc..
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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 | 0.001 |
| 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 | 0.000 | 0.002 |
| 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".