Aldosterone-Induced Activation of Signaling Pathways Requires Activity of Angiotensin Type 1a Receptors
Why this work is in the frame
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Bibliographic record
Abstract
RATIONALE: Aldosterone has been shown to induce vascular damage, endothelial dysfunction, and myocardial fibrosis, which depend in part on activation of angiotensin II (Ang II)-mediated pathways. However, mechanisms underlying crosstalk between Ang II type 1 receptor (AT(1)R) and mineralocorticoid receptor (MR) are mostly unknown. OBJECTIVES: We tested whether the lack of Ang II type 1a receptor (AT(1a)R) or Ang II type 1b receptor (AT(1b)R) would decrease cellular effects induced by aldosterone. METHODS AND RESULTS: We examined the effect of Ang II or aldosterone after transfection of mesenteric vascular smooth muscle cells (VSMCs) from C57Bl/6 mice with small interference RNA for AT(1a)R, AT(1b)R, or MR for 48 hours. Ang II and aldosterone separately induced ERK1/2, c-Jun NH2-terminal protein kinase (JNK), and nuclear factor (NF)-kappaB phosphorylation after a 20-minute stimulation. Small interference RNA for AT(1a)R downregulated phosphorylation of ERK1/2, JNK, and NF-kappaB after aldosterone stimulation compared to controls. Downregulation of AT(1b)R or MR only abolished the activation of NF-kappaB. In VSMCs from C57Bl/6 mice, aldosterone and Ang II induced the activation of the c-fos promoter from 30 minutes to 1 hour. This effect was blocked when using VSMCs from AT(1a)R knockout mice. CONCLUSION: We show for the first time that nongenomic and genomic effects of aldosterone are differentially dependent on activity of both AT(1a)R and AT(1b)R. Our data suggest that aldosterone augments AT(1)R-dependent activation of ERK1/2, JNK, and NF-kappaB in VSMCs. We provide mechanistic understanding and experimental in vitro support for the benefit of combination therapy with dual blockade of AT(1)R and MR to treat hypertension and progression of heart failure as reported in clinical studies and animal models.
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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 | 0.001 |
| 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 it