Treatment with <scp>LY</scp> 2409021, a glucagon receptor antagonist, increases liver fat in patients with type 2 diabetes
Bibliographic record
Abstract
AIMS: To evaluate whether treatment with LY2409021, a novel, selective glucagon receptor antagonist, is associated with changes in hepatic fat and other safety variables related to the benefit-risk profile for chronic use in patients with type 2 diabetes (T2D). METHODS: Safety and efficacy were assessed in patients with T2D taking metformin and sulphonylurea who were randomized to LY2409021 20 mg (n = 65), placebo (n = 68), or sitagliptin 100 mg (n = 41). Key endpoints included change from baseline to month 6 in hepatic fat fraction (HFF), assessed by magnetic resonance imaging; hepatic aminotransferases; blood pressure; lipid profile; fasting plasma glucose; and glycated haemoglobin (HbA1c). RESULTS: A significant increase in HFF was seen with LY2409021 vs sitagliptin (least squares [LS] mean difference 3.72%; P < .001) and placebo (4.44%; P < .001), accompanied by significant elevations in alanine aminotransferase levels with LY2409021 vs sitagliptin (6.8 U/L; P = .039) and vs placebo (10.7 U/L; P < .001). No patients had concomitant elevations in bilirubin levels. LY2409021 treatment showed significant HbA1c reductions vs placebo (LS mean difference -0.77%; P < .001) but not sitagliptin (-0.20%; P = .383). Similar results were observed for fasting plasma glucose. LY2409021 was also associated with significant increases in systolic blood pressure vs sitagliptin (4.9 mm Hg; P = .030) and vs placebo (4.3 mm Hg; P = .029), as well as significant increases in body weight and total cholesterol. All effects of LY2409021 were reversible. CONCLUSION: In this cohort of patients with T2D, chronic glucagon receptor antagonism with LY2409021 was associated with glucose-lowering but also demonstrated increases in hepatic fat, hepatic aminotransferases, and other adverse effects.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".