Carbonic anhydrase inhibitors that directly inhibit anion transport by the human Cl<sup>−</sup>/HCO<sub>3</sub><sup>−</sup>exchanger, AE1
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Bibliographic record
Abstract
Carbonic anhydrases (CA, EC 4.2.1.1.) catalyze reversible hydration of CO2 to HCO3- + H+. Bicarbonate transport proteins, which catalyze the transmembrane movement of membrane-impermeant bicarbonate, function in cooperation with CA. Since CA and bicarbonate transporters share the substrate, bicarbonate, we examined whether novel competitive inhibitors of CA also have direct inhibitory effects on bicarbonate transporters. We expressed the human erythrocyte membrane Cl-/HCO3- exchanger, AE1, in transfected HEK293 cells as a model bicarbonate transporter. AE1 activity was assessed in both Cl-/NO3- exchange assays, which were independent of CA activity, and in Cl-/HCO3- exchange assays. Transport was measured by following changes of intracellular [Cl-] and pH, using the intracellular fluorescent reporter dyes 6-methoxy-N-(3-sulfopropyl)quinolinium and 2',7'-bis-(2-carboxyethyl)-5-(and-6)carboxyfluorescein, respectively. We examined the effect of 16 different carbonic anhydrase inhibitors on AE1 transport activity. Among these 12 were newly-reported compounds; two were clinically used non-steroidal anti-inflammatory drugs (celecoxib and valdecoxib) and two were anti-convulsant drugs (topiramate and zonisamide). Celecoxib and four of the novel compounds significantly inhibited AE1 Cl-/NO3- exchange activity with EC50 values in the range 0.22-2.8 microM. It was evident that bulkier compounds had greater AE1 inhibitory potency. Maximum inhibition using 40 microM of each compound was only 22-53% of AE1 transport activity, possibly because assays were performed in the presence of competing substrate. In Cl-/HCO3- exchange assays, which depend on functional CA to produce transport substrate, 40 microM celecoxib inhibited AE1 by 62+/-4%. We conclude that some carbonic anhydrase inhibitors, including clinically-used celecoxib, will inhibit bicarbonate transport at clinically-significant concentrations.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| 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) | 0.000 | 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 it