Role of vasoactive peptides in high glucose-induced increased expression of Gα<sub>q/11</sub> proteins and associated signaling in vascular smooth muscle cellsThis review is one of a selection of papers published in a Special Issue on Oxidative Stress in Health and Disease.
Bibliographic record
Abstract
We have recently shown that A10 vascular smooth muscle cells (VSMCs) exposed to high glucose exhibited enhanced expression of G(alpha)q and PLCbeta proteins. Since high glucose has been reported to increase the levels of vasoactive peptides and oxidative stress, the present study was undertaken to investigate the implication of angiotensin II (Ang II), endothelin (ET)-1, and oxidative stress in the high glucose-induced enhanced expression of G(alpha)q/11 and PLCbeta proteins and associated signaling in A10 VSMCs. The levels of G(alpha)q, G(alpha)11, PLCbeta-1, and PLCbeta-2 proteins, as determined by Western blotting, were significantly higher in A10 VSMCs exposed to high glucose than in control cells. The elevated levels were restored to control values by the antioxidant diphenyleneiodonium (DPI), as well as by the antagonist of Ang II AT1 receptor losartan and the antagonists of ETA and ETB receptors BQ123 and BQ788, respectively. In addition, ET-1-stimulated production of inositol trisphosphate (IP3), which was enhanced by high glucose, was also restored toward control levels by DPI. Furthermore, the enhanced production of superoxide anion (O2-), increased NADPH oxidase activity, and enhanced expression of p22phox and p47phox proteins induced by high glucose were restored to control levels by losartan, BQ123, and BQ788. These results suggest that through increased oxidative stress, high glucose-induced enhanced levels of endogenous Ang II and ET-1 may contribute to the increased levels of G(alpha)q/11 and mediated signaling in A10 VSMCs.
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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 | 0.000 | 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) | 0.001 | 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".