Angiotensin-(1–7)-induced activation of ERK1/2 is cAMP/protein kinase A-dependent in glomerular mesangial cells
Bibliographic record
Abstract
The renin-angiotensin system (RAS) plays an important role in renal physiology and kidney injury. Although the cellular effects of the RAS activation are generally attributed to angiotensin II (ANG II), the recent identification of angiotensin-converting enzyme 2 has shifted the focus to other peptides including Ang-(1-7). The G protein-coupled receptor for Ang-(1-7), mas, is expressed by mesangial cells (MC) but the signal transduction pathways activated by Ang-(1-7) in MC have not been fully elucidated. Accordingly, we studied the effect of Ang-(1-7) on extracellular signal-related kinase (ERK)1/2 activation in rat MC. Ang-(1-7)-induced ERK1/2 phosphorylation in MC is time- and concentration-dependent. Pretreatment of MC with the mas receptor antagonist A-779 but not the AT(1) antagonist losartan or the AT(2) antagonist PD123319 abrogated ERK1/2 activation. Neither pretreatment with the NADPH oxidase inhibitors diphenyleneiodonium and apocynin nor pretreatment with the epidermal growth factor (EGF) receptor antagonists AG1478 and PD158780 attenuated Ang-(1-7)-induced activation of ERK1/2. Even though each of these compounds abolished ANG II-induced activation of ERK1/2. Ang-(1-7) increased intracellular cAMP levels and activated protein kinase A (PKA) and inhibition of either adenylyl cyclase or PKA activity attenuated Ang-(1-7)-induced ERK1/2 activation. In conclusion, Ang-(1-7)-induced activation of ERK1/2 is cAMP/PKA-dependent in MC, but independent of NADPH oxidase and the EGF receptor.
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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) | 0.001 | 0.001 |
| 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".