Pro-oxidant Role of Heme Oxygenase in Mediating Glucose-induced Endothelial Cell Damage
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Bibliographic record
Abstract
Oxidative damage to the vascular endothelial cells may play a crucial role in mediating glucose-induced cellular dysfunction in chronic diabetic complications. The present study was aimed at elucidating the role of glucose-induced alteration of highly inducible heme oxygenase (HO) in mediating oxidative stress in the vascular endothelial cells. We have also investigated the interaction between HO and the nitric oxide (NO) system, and its possible role in alteration of other vasoactive factors. Human umbilical vein endothelial cells (HUVECs) were exposed to low (5mmol/l) and high (25mmol/l) glucose levels. In order to determine the role of HO in endothelial dysfunction and to elucidate a possible interaction between the HO and NO systems, cells were exposed to HO inducer (hemin, 10 micromol/l), HO antagonist (SnPPIX, 10 micromol/l), and NO synthase blocker (L-NAME, 200 micromol/l) with or without NO donor (arginine, 1 mmol/l). mRNA expression of HO and NO isoforms was measured by real time RT-PCR. HO activity was measured by bilirubin production and cellular oxidative stress was assessed by 8-hydroxy-2'-deoxyguanosine (8-OHdG) and nitrotyrosine staining. We also determined the expression of vasoactive factors, endothelin-1 (ET-1) and vascular endothelial growth factor (VEGF). In the endothelial cells, glucose caused upregulation of HO-1 expression and increased HO activity. A co-stimulatory relationship between HO and NO was observed. Increased HO activity also associated with oxidative DNA and protein damage in the endothelial cells. Furthermore, increased HO activity augmented mRNA expression of vasoactive factors, ET-1 and VEGF. These data suggest that HO by itself and via elaboration of other vasoactive factors may cause endothelial injury and functional alteration. These findings are of importance in the context of chronic diabetic complications.
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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 | 0.001 |
| 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it