C-Reactive Protein Upregulates Receptor for Advanced Glycation End Products Expression in Human Endothelial Cells
Bibliographic record
Abstract
The receptor for advanced glycation end products (RAGE) may play an important role in inflammatory processes and endothelial activation, likely to accelerate the processes of coronary atherosclerotic development, especially in diabetic patients. The factors that regulate arterial expression of RAGE are not completely clear. C-reactive protein (CRP) is identified as a key proinflammatory cytokine in patients with atherosclerosis. Therefore, we tested the hypothesis that RAGE expression in endothelial cells can be upregulated by CRP. Human saphenous vein endothelial cells were incubated with human recombinant CRP, free of sodium azide and endotoxin. RAGE protein expression was measured by flow-cytometric analysis and Western blotting. CRP caused a significant increase in RAGE protein expression at a dose as low as 5 mug/mL, with expression peaking at 24 to 48 hours after CRP incubation. The effects of modified monomeric CRP on RAGE protein expression were comparable with that of native pentameric CRP. At the mRNA level, CRP not only increased RAGE gene expression but also attenuated the degradation of RAGE mRNA. Furthermore, RNA interference of RAGE gene expression significantly decreased the level of macrophage chemoattractant protein 1, a key downstream mediator of CRP activity. Therefore, CRP at concentrations known to predict future vascular events upregulates RAGE expression in human endothelial cells at both the protein and mRNA level. Silencing of the RAGE gene prevents CRP-induced macrophage chemoattractant protein 1 activation. These data reinforce the mechanistic links among inflammation, endothelial dysfunction, and atherothrombosis.
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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 | 0.000 | 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".