Treatment with orforglipron, an oral glucagon like peptide-1 receptor agonist, is associated with improvements of CV risk biomarkers in participants with type 2 diabetes or obesity without diabetes
Bibliographic record
Abstract
Abstract Background Orforglipron, a novel oral, non-peptide glucagon like peptide-1 (GLP-1) receptor agonist, has demonstrated efficacy in improving body weight reduction and glycemic control. However, its potential benefits in improving cardiovascular (CV) risk factors have yet to be determined. We assessed the effect of orforglipron in participants with type 2 diabetes (T2D) and/or overweight or obesity on blood pressure, lipid, and inflammatory biomarkers associated with risk for major adverse cardiovascular events. Methods Using data from participants with available samples from Phase 2 trials of orforglipron in participants with T2D (N = 361) or with overweight or obesity without diabetes mellitus (N = 234), we performed an exploratory analysis of changes in CV risk markers. For the T2D study, participants mean age 59 years, 40% were assigned female at birth with a mean HbA 1c of 8.1% and mean BMI of 35.3 kg/m 2 ; they received once daily orforglipron doses (3, 12, 24, 36, or 45 mg) or once weekly subcutaneous dulaglutide 1.5 mg, or placebo. In the obesity study, participants had a mean age 54 years, 60% were assigned female at birth, and mean BMI was 37.9 kg/m 2 ; they received once daily orforglipron (12, 24, 36, or 45 mg) or placebo. The change from baseline at 26 weeks (T2D study) or 36 weeks (obesity study) in blood pressure, lipids (cholesterol, triglycerides, Apolipoprotein B (ApoB), Apolipoprotein C3 (ApoC3), N-terminal pro-b-type natriuretic peptide (NT-pro-BNP), and inflammatory biomarkers (high-sensitivity C-reactive protein (hsCRP), interleukin-6 (IL-6)) were assessed. Results Significant placebo-adjusted decreases from baseline in blood pressure, low-density lipoprotein (LDL) cholesterol, triglycerides, ApoB, ApoC3, and hsCRP were observed following orforglipron treatment in participants with T2D and/or overweight or obesity. In both studies, improvements in blood pressure, lipid parameters, and most of the evaluated biomarkers were of similar magnitude after treatment with 12 mg orforglipron as with 24, 36, and 45 mg. Conclusion Orforglipron treatment was associated with beneficial changes in CV risk markers in participants with T2D and in participants with overweight/obesity without T2D. (Clinicaltrials.gov: NCT05048719, NCT05051579). Graphical abstract
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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".