Semaglutide promotes bone marrow–derived progenitor cell flux towards an anti-inflammatory and pro-regenerative profile in high-risk patients: the SEMA-VR CardioLink-15 trial
Bibliographic record
Abstract
BACKGROUND AND AIMS: Glucagon-like peptide-1 receptor agonists (GLP-1RAs) reduce major atherosclerotic cardiovascular events in individuals living with either diabetes or obesity. Since the turnover of vascular regenerative (VR) stem and progenitor cells has been demonstrated to modulate vessel repair and atherothrombotic risk, this study aimed to determine the effect of the GLP-1RA semaglutide on the levels of circulating VR cells. METHODS: SEMA-VR CardioLink-15 was a randomized translational trial of usual care vs semaglutide for 6 months in 46 participants with either type 2 diabetes and/or obesity plus atherosclerotic cardiovascular disease (ASCVD) or ASCVD risk factors. Vascular regenerative cells were enumerated using multi-parametric flow cytometry for high aldehyde dehydrogenase activity (ALDHhi) and lineage-specific cell surface marker expression. The primary endpoint was the 6-month change in VR cell content. RESULTS: Compared with usual care (n = 24), semaglutide (n = 22) led to a greater increase in the number of VR cells [high aldehyde dehydrogenase 1A1 activity and low side scatter (ALDHhiSSClow): +0.8% vs +34.8%; P = .036], pan-haematopoietic myeloid progenitors (ALDHhiSSClowCD45+: +2.8% vs +40.1%; P = .017), and endothelial precursors (ALDHhiSSClowCD34+ CD133+ CD45-: -2.3% vs +66.2%; P = .037) from baseline. Semaglutide also decreased granulocyte precursors (ALDHhiSSChi: +0.3% vs -50.8%; P = .002), particularly those expressing the neutrophil activation marker CD66b and chemokine receptor CXCR2. Semaglutide down-regulated serum proteins over-represented in pro-inflammatory tumour necrosis factor and interleukin signalling pathways. CONCLUSIONS: In people living with either type 2 diabetes or obesity plus ASCVD risk, semaglutide increased circulating VR cell content while reducing pro-inflammatory granulocyte precursors and cytokine production. Collectively, these findings suggest that semaglutide may improve endogenous progenitor cell-mediated blood vessel repair processes.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".