Transient Receptor Potential Melastatin 7 (TRPM7) Contributes to H2O2-Induced Cardiac Fibrosis via Mediating Ca2+ Influx and Extracellular Signal–Regulated Kinase 1/2 (ERK1/2) Activation in Cardiac Fibroblasts
Bibliographic record
Abstract
Transient receptor potential melastatin 7 (TRPM7), a Ca(2+)-nonselective cation channel, plays a key role in the pathophysiological response of multiple cell types. However, the role of TRPM7 channels in hydrogen peroxide (H2O2)-induced cardiac fibrosis remains unclear. This study aimed to explore whether TRPM7 channels are involved in H2O2-induced cardiac fibrosis and the underlying mechanisms. Our results showed that 2-aminoethoxydiphenylborate (2-APB), which is commonly used to block TRPM7 channels, inhibited H2O2-induced cardiac fibrosis via attenuating the overexpression of important fibrogenic biomarkers and growth factors in cardiac fibroblasts, including collagen type I (Col I), fibronectin (FN), smooth muscle α-actin (α-SMA), connective tissue growth factor (CTGF), and transforming growth factor-β1 (TGF-β1). In addition, 2-APB also decreased H2O2-mediated elevation of the concentration of intracellular Ca(2+) ([Ca(2+)]i). Meanwhile, silencing TRPM7 channels by shRNA interference also impaired the increased [Ca(2+)]i and upregulation of Col I, FN, α-SMA, CTGF, and TGF-β1 induced by H2O2. Furthermore, we found that H2O2-mediated activation of extracellular signal-regulated kinase 1/2 (ERK1/2) decreased in TRPM7-shRNA cells and Ca(2+)-free culture media. These results demonstrated that TRPM7 channels contributed to H2O2-induced cardiac fibrosis and suggested that this contribution may be through mediating Ca(2+) influx and phosphorylation of ERK1/2.
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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 | 0.001 |
| 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 | 0.001 | 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".