Tiron exerts effects unrelated to its role as a scavenger of superoxide anion: effects on calcium binding and vascular responses
Bibliographic record
Abstract
The effect of tiron (4,5-dihydroxy-1,3-benzene disulfonic acid) on the binding of Ca2+ and its effect on vascular responses of the rat perfused mesenteric bed was studied at concentrations of tiron that are used widely to scavenge superoxide anion. In competition assays in buffered solutions with no tissue present, tiron decreased the fluorescence ratio of fura-FF, a measure of [Ca2+]: the inhibition constant (Ki) of tiron with Ca2+ was 0.692 +/- 0.036 mM. In the mesenteric bed perfused at constant flow and preconstricted with 90 mM KCl, tiron evoked decreases in perfusion pressure of the mesenteric bed in a concentration-dependent manner (Rmax = 43.58 +/- 2.6 mmHg; EC50 = 1.46 +/- 0.33 mM). This vasodilator effect of tiron was similar in the presence of the superoxide anion scavenger, tempol (Rmax = 46.12 +/- 1.87 mmHg; EC50 = 1.34 +/- 0.27 mM). In the presence of 90 mM KCl, increasing concentrations of Ca2+ increased perfusion pressure and tiron shifted the concentration-response curve to Ca2+ to the right. In freshly drawn blood from rats, tiron increased clotting time. The data indicate that tiron binds Ca2+ at concentrations at or below those commonly used to scavenge superoxide anion, an action that may be responsible for a variety of biological responses. The interpretation of effects of tiron in previous work on the role of superoxide anion may need to be re-evaluated.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".