Pi3 kinase regulates ang ii-stimulated erk activity in vascular smooth muscle cells from shr
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This study investigated the role of Ang II in the regulation of extracellular signal-regulated kinase (ERKs) in vascular smooth muscle cells (VSMC) from mesenteric arteries of spontaneously hypertensive rats (SHR) and Wistar Kyoto rats (WKY). ERK activity was determined by Western blot using a phospho-specific ERK antibody. To determine the regulatory role of intracellular Ca2+ in Ang II-stimulated ERK activity, VSMC were exposed to BAPTA-AM (10–5 M). To assess whether PI3 kinase is an upstream regulator of Ang II-activated ERKs, VSMC were treated with a specific PI3 kinase inhibitor, LY294002 (10–5 M). In the basal state, ERK activity, but not protein concentration, was significantly increased (p < 0.05) in SHR (68.9 ± 28.8 units) compared with WKY (21.1 ± 12.2 units). Ang II dose-dependently increased activation of ERK, with the response significantly augmented in SHR (195.4 ± 23.6 units) compared to WKY (81 ± 19 units, p < 0.05). ERK activation was maximal at 5 min in both strains. Responses were sustained at suprabasal levels for up to 20 min in SHR but not in WKY. BAPTA-AM attenuated Ang II-induced effects similarly in VSMC from WKY and SHR. PI3 kinase inhibition completely blocked Ang II-stimulated ERK activation in SHR but not in WKY. Thus intracellular Ca2+ is an important regulator of Ang II-stimulated ERK activity. In VSMC from SHR, augmented Ang II-induced activation of ERKs may be due to PI3 kinase-dependent mechanisms.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 it