OS 02-03 EFFECT OF HIGH GLUCOSE EXPOSURE ON ENDOTHELIAL MICROPARTICLE FORMATION AND COMPOSITION
Bibliographic record
Abstract
Objective: Diabetes and hypertension are cognate diseases that often coexist, potentiating one's risk for cardiovascular complications. Both diseases are typified by the development of endothelial dysfunction and are accompanied by increased circulating endothelial microparticles (eMPs). Microparticles are small membrane-derived vesicles that are secreted ubiquitously following cell stress. We have previously shown that eMPs are sensitive markers of vascular injury in hypertension and identified eMP-mediated signaling pathways that lead to endothelial injury. However, whether eMPs differ based on stimuli for their formation is unclear. To investigate the effects of HG on the molecular composition and biological actions of eMPs. Design and Method: Cultured endothelial cells (ECs) were treated with normal D-glucose (NG, 5.6 mM), 25 mM D-glucose (HG), or L-glucose (osmotic control). eMPs were then isolated from the collected media via differential centrifugation. eMP levels were quantified using nanoparticle tracking analysis (NTA), and their effects on endothelial cell oxidative stress were assessed by dihydroethidium-HPLC. Protein composition was assessed via liquid chromatography-tandem mass spectrometry (LC-MS/MS) and relative differences were assessed by label-free spectral counting. Candidate proteins were verified by Western blot analysis. Results: eMP formation increased following HG treatment relative to the NG (3-fold, P < 0.05). eMPs formed under high glucose were more potent inducers of oxidative stress than NG eMPs (∼4-fold). LC-MS identified 14,631 unique peptides of which resulted in 220 independent proteins with at least 2 peptides per protein and an average sequence coverage of 16%. Both LC-MS and Western Blot analysis of HG eMPs showed a 4-fold increase in thrombospondin-1 and a 5–11-fold increase in its membrane-anchored binding partners (Versican, Agrin, Perlecan). Conclusions: HG increases eMP formation and leads to molecular changes, including enrichment in thrombospondin-1 and its glycocalyx binding partners. Such alterations may contribute to the development of vascular injury in diabetes.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| 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".