Disruption of Calcium Signaling in Fibroblasts and Attenuation of Bleomycin-Induced Fibrosis by Nifedipine
Bibliographic record
Abstract
Fibrotic lung disease afflicts millions of people; the central problem is progressive lung destruction and remodeling. We have shown that external growth factors regulate fibroblast function not only through canonical signaling pathways but also through propagation of periodic oscillations in Ca(2+). In this study, we characterized the pharmacological sensitivity of the Ca(2+)oscillations and determined whether a blocker of those oscillations can prevent the progression of fibrosis in vivo. We found Ca(2+) oscillations evoked by exogenously applied transforming growth factor β in normal human fibroblasts were substantially reduced by 1 μM nifedipine or 1 μM verapamil (both L-type blockers), by 2.7 μM mibefradil (a mixed L-/T-type blocker), by 40 μM NiCl2 (selective at this concentration against T-type current), by 30 mM KCl (which partially depolarizes the membrane and thereby fully inactivates T-type current but leaves L-type current intact), or by 1 mM NiCl2 (blocks both L- and T-type currents). In our in vivo study in mice, nifedipine prevented bleomycin-induced fibrotic changes (increased lung stiffness, overexpression of smooth muscle actin, increased extracellular matrix deposition, and increased soluble collagen and hydroxyproline content). Nifedipine had little or no effect on lung inflammation, suggesting its protective effect on lung fibrosis was not due to an antiinflammatory effect but rather was due to altering the profibrotic response to bleomycin. Collectively, these data show that nifedipine disrupts Ca(2+) oscillations in fibroblasts and prevents the impairment of lung function in the bleomycin model of pulmonary fibrosis. Our results provide compelling proof-of-principle that interfering with Ca(2+) signaling may be beneficial against pulmonary fibrosis.
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How this classification was reachedexpand
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) | 0.000 | 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 teacher head, 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".