Supaglutide alleviates hepatic steatosis in monkeys with spontaneous MASH
Bibliographic record
Abstract
BACKGROUND: Glucagon-like peptide 1 (GLP-1) is an incretin hormone and plays an important role in regulating glucose homeostasis. GLP-1 has a short half-life due to degrading enzyme dipeptidyl peptidase-IV and rapid kidney clearance, which limits its clinical application as a therapeutic agent. We demonstrated previously that supaglutide, a novel long-acting GLP-1 analog, exerted hypoglycemic, hypolipidemic, and weight loss effects in type 2 diabetic db/db mice, DIO mice, and diabetic monkeys. In the present study, we investigated supaglutide's therapeutic efficacy in rhesus monkeys with spontaneous metabolic dysfunction-associated steatohepatitis (MASH). METHODS: 15 rhesus monkeys with biopsy-confirmed MASH were divided into three groups, receiving supaglutide 50 µg/kg, supaglutide 150 µg/kg, and placebo, respectively, by weekly subcutaneous injection for 3 months. Liver fat content quantified by magnetic resonance imaging-estimated proton density fat fraction (MRI-PDFF), liver pathology, and metabolic parameters were assessed. RESULTS: We found that once-weekly subcutaneous injections of supaglutide for 3 months significantly reduced hepatic fat accumulation, with a 40% percentage decrease in MRI-PDFF from baseline (P < 0.001 vs. Placebo). Treatment with supaglutide alleviated hepatic histological steatosis (nonalcoholic fatty liver disease activity score P < 0.001 vs. Placebo) without worsening of fibrosis, as assessed by ultrasound-guided liver biopsy. Supaglutide concomitantly ameliorated liver injury exemplified by a lowering tendency of hepatic alanine aminotransferase levels. Supaglutide also decreased body weight in a dose-dependent fashion accompanied by decreased food intake, improved lipid profile and glycemic control. CONCLUSIONS: Supaglutide exerts beneficial effects on hepatic and metabolic outcomes in spontaneous MASH monkeys.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.001 | 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 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".