Role of NADPH oxidase in angiotensin II induced endothelin‐1 expression within vascular adventitial fibroblasts
Bibliographic record
Abstract
Recent studies have demonstrated that under Angiotensin II (Ang II) treatment, adventitial fibroblasts are able to express Endothelin‐1 (ET‐1), a result which led to increased collagen I expression. However, mediation of the Ang II induced ET‐1 expression through NADPH oxidase in adventitial fibroblasts remains uncertain. The purpose of the present study was to determine if NADPH oxidase in adventitial fibroblasts mediates Ang II induced ET‐1 expression. Vascular adventitial fibroblasts were isolated mouse aorta and treated with Ang II (10‐7 M) in the presence or absence of apocynin (10‐5M), a specific NADPH oxidase inhibitor. PreporET‐1 mRNA was determined by relative RT‐PCR. ET‐1 peptide levels in medium were determined via ELISA. Ang II (10‐7 M) treatment significantly increased both preproET‐1 mRNA and ET‐1 peptide levels (p<0.05), which were significantly decreased by DPI (10‐5M). In addition, the Ang II induced ET‐1 expressions were decreased in cells isolated from the gp91 knock out mice, which lacked a key subunit of NADPH oxidase, therefore decreasing functionality. In conclusion, ET‐1 mRNA and peptide levels are increased after Ang II treatment. Moreover, NADPH oxidase, an important mediator of reactive oxygen species does seem to play an important role in the Ang II induced ET‐1 expression in adventitial fibroblasts.
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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".