Search for intermediates of Na+,K+-ATPase-mediated [Na+]i/[K+]i-independent death signaling triggered by cardiotonic steroids
Bibliographic record
Abstract
Previously, we reported that ouabain and other cardiotonic steroids (CTS) kill renal epithelial and vascular endothelial cells via their interaction with the Na+,K+-ATPase alpha-subunit, but independently of elevation of the [Na+]i/[K+]i ratio. In distinct cell types, side-by-side with inhibition of Na+,K+-ATPase-mediated ion fluxes, CTS trigger [Ca2+]i oscillation, activation of Ras, mitogen-activated protein kinases (MAPK), phosphoinositide-3 kinase (PI3K), and protein kinase C as well as the production of reactive oxygen species and cytoskeleton reorganization. This study examined the potential involvement of the above-listed intermediates in death signaling triggered by ouabain in C7-Madin-Darby canine kidney cells. In these cells, twofold decreased staining with dimethylthiazol diphenyltetrazolium (MTT) and detachment of up to 80% of dead cells were detected in 6 and 24 h of ouabain addition, respectively. We did not observe any effect of extra- (EGTA) and intracellular (BAPTA) Ca2+-chelators, [Ca2+]i-raising compounds (thapsigargin, ATP), inhibitors of Ras signaling (alpha-hydroxyfarnesyl-sulphosphoric acid), PI3K (wortmannin), MAPK ERK1/2 kinase (PD98059), tyrosine kinases (genistein) as well as activators (4beta-PMA, 8-Br-cAMP, 8-Br-cGMP, forskolin) and inhibitors (calphostin) of serine-threonine kinases on MTT staining and death of ouabain-treated cells. Ouabain did not affect cellular redox state and the production of superoxide anion and hydroperoxide. Neither N-acetylcysteine nor reduced gluthatione suppressed the death of ouabain-treated cells. Thus, our results show that none of the above-listed signaling systems plays a major role in the development of Nai+,Ki+-independent death machinery triggered by CTS interaction with the Na+,K+-ATPase alpha-subunit.
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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 | 0.001 |
| 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 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".