The Proinflammatory Actions of Angiotensin II Are Dependent on p65 Phosphorylation by the IκB Kinase Complex
Bibliographic record
Abstract
The vasoactive hormone angiotensin II (Ang II) probably triggers inflammatory cardiovascular diseases by activating transcription factors such as NF-kappaB. We describe here a novel mode of NF-kappaB activation in cultured vascular smooth muscle cells exposed to Ang II. Ang II treatment resulted in an increase in the phosphotransferase activity of the IKK complex, which was mediated through the AT1 receptor subtype. The typical phosphorylation and proteasome-dependent degradation of the NF-kappaB inhibitor IkappaBalpha were not observed. Rather, Ang II treatment of vascular smooth muscle cells led to the phosphorylation of p65 on serine 536, a signal detected in both the cytoplasm and the nuclear compartments. The use of pharmacological inhibitors that inhibit the activation of MEK by Ang II revealed that phosphorylation of p65 on serine 536 did not require the MEK-ERK-RSK signaling pathway. On the other hand, specifically targeting the IKKbeta subunit of the IKK complex by overexpression of a dominant negative version of IKKbeta (IKKbeta K44A) or silencing RNA technology demonstrated that the IKKbeta subunit of the IKK complex was responsible for the detected phosphoserine 536 signal in Ang II-treated cells. Characterization of the signaling pathway leading to activation of the IKK complex by Ang II revealed that neither epidermal growth factor receptor transactivation nor the phosphatidylinositol 3-kinase-AKT signaling cascade were involved. Collectively, our data demonstrate that the proinflammatory activity of Ang II is independent of the classical pathway leading to IkappaBalpha phosphorylation and degradation but clearly depends on the recruitment of an IKK complex signaling cascade leading to phosphorylation of p65 on serine 536.
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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) | 0.001 | 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 | 0.001 |
| 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".