Modulation of vascular smooth muscle cell growth by magnesium—role of mitogen—activated protein kinases
Bibliographic record
Abstract
We tested the hypothesis that Mg(2+) influences growth of vascular smooth muscle cells (VSMCs) by modulating cell cycle activation through mitogen-activated protein (MAP) kinase-dependent pathways. Rat VSMCs were grown in culture medium containing normal Mg(2+) (1.02 mmol/L, control) and increasing concentrations of Mg(2+) (2-4 mmol/L) for 1-8 days. Effects of varying extracellular Mg(2+) concentration ([Mg(2+)](e)) on intracellular free Mg(2+) concentration ([Mg(2+)](i)) were assessed using mag-fura. Growth actions of Mg(2+) were evaluated by measuring cell cycle activation, DNA synthesis, and protein synthesis. Expression of cell cycle promoters, cyclin D1, cyclin E, Cdk2, and Cdk4 was assessed by immunoblotting. Phosphorylation of cell cycle inhibitors p21(cip1) and p27(kip1) and MAP kinases, ERK1/2, p38MAP kinase, and JNK was evaluated using phospho-specific antibodies. [Mg(2+)](i) increased in a dose-dependent manner in response to increasing [Mg(2+)](e). These effects were evident within 2 days and maximal responses were obtained after 6 days. High [Mg(2+)](e) induced cell cycle activation with a lower proportion of cells in G(1) phase (75 +/- 1.0%) and a higher fraction of cells in S phase (12 +/- 0.7%) versus control (G(1), 88.5 +/- 1.4%; S, 6.8 +/- 1.2%; P < 0.05). This was associated with increased protein content of cyclin D1 and Cdk4 and decreased activation of p21(cip1) and p27(kip1). In cells exposed to 2 mmol/L Mg(2+), DNA and protein synthesis was increased approximately threefold. Phosphorylation of MEK1/2 and ERK1/2 was enhanced two to threefold in cells grown in 2 mmol/L Mg(2+). These effects were rapid, occurring within 2 days. Phosphorylation of MEK3/6, p38 MAP kinase, and JNK was unaltered by increasing [Mg2](e). PD98059 (10(-5) mol/L), specific MEK1/2 inhibitor, but not SB202190 (10(-5) mol/L) (specific p38 MAP kinase inhibitor), attenuated Mg(2+)-induced growth actions. These data demonstrate the novel findings that cell cycle activation and growth regulation by Mg(2+) occurs via ERK1/2-dependent, p38 MAP kinase-independent pathways.
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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) | 0.000 | 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 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".