Transient Receptor Potential Melastatin 7 Ion Channels Regulate Magnesium Homeostasis in Vascular Smooth Muscle Cells
Bibliographic record
Abstract
Magnesium modulates vascular smooth muscle cell (VSMC) function. However, molecular mechanisms regulating VSMC Mg2+ remain unknown. Using biochemical, pharmacological, and genetic tools, the role of transient receptor potential membrane melastatin 7 (TRPM7) cation channel in VSMC Mg2+ homeostasis was evaluated. Rat, mouse, and human VSMCs were studied. Reverse transcriptase polymerase chain reaction and immunoblotting demonstrated TRPM7 presence in VSMCs (membrane and cytosol). Angiotensin II (Ang II) and aldosterone increased TRPM7 expression. Gene silencing using small interfering RNA (siRNA) against TRPM7, downregulated TRPM7 (mRNA and protein). Basal [Mg2+]i, measured by mag fura-2AM, was reduced in siRNA-transfected cells (0.39+/-0.01 mmol/L) versus controls (0.54+/-0.01 mmol/L; P<0.01). Extracellular Mg2+ dose-dependently increased [Mg2+]i in control cells (Emax 0.70+/-0.02 mmol/L) and nonsilencing siRNA-transfected cells (Emax 0.71+/-0.04 mmol/L), but not in siRNA-transfected cells (Emax 0.5+/-0.01 mmol/L). The functional significance of TRPM7 was evaluated by assessing [Mg2+]i and growth responses to Ang II in TRPM7 knockdown cells. Acute Ang II stimulation decreased [Mg2+]i in control and TRPM7-deficient cells in a Na+-dependent manner. Chronic stimulation increased [Mg2+]i in control, but not in siRNA-transfected VSMCs. Ang II-induced DNA and protein synthesis, measured by 3[H]-thymidine and 3[H]-leucine incorporation, respectively, were increased in control and nonsilencing cells, but not in TRPM7 knockdown VSMCs. Our data indicate that VSMCs possess membrane-associated, Ang II-, and aldosterone-regulated TRPM7 channels, which play a role in regulating basal [Mg2+]i, transmembrane Mg2+ transport and DNA and protein synthesis. These novel findings identify TRPM7 as a functionally important regulator of Mg2+ homeostasis and growth in VSMCs.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".