Pergolide Is an Inhibitor of Voltage-Gated Potassium Channels, Including Kv1.5, and Causes Pulmonary Vasoconstriction
Bibliographic record
Abstract
BACKGROUND: Pergolide produces clinical benefit in Parkinson disease by stimulating dopamine D1 and D2 receptors. An increased incidence of carcinoid-like heart valve disease (CLHVD) has been noted in pergolide users, reminiscent of that induced by certain anorexigens used for weight reduction. Anorexigens that modulate serotonin release and reuptake, such as dexfenfluramine, were withdrawn from sale because of CLHVD. Interestingly, the anorexigens also caused pulmonary arterial hypertension (PAH). Anorexigens were shown to enhance hypoxic pulmonary vasoconstriction, in part by inhibiting voltage-gated K+ channels (Kv) in pulmonary artery smooth muscle cells (PASMCs). Although PAH has not been associated with pergolide use, we hypothesized that pergolide might have similar effects on hypoxic pulmonary vasoconstriction and Kv channels. METHODS AND RESULTS: Pergolide enhanced hypoxic pulmonary vasoconstriction in the isolated perfused rat lung compared with control lungs (mean pulmonary artery pressure 32+/-3 versus 21+/-2 mm Hg; P<0.01). Pergolide also caused vasoconstriction in rat pulmonary artery rings. Pergolide inhibited PASMC potassium current density, resulting in membrane depolarization (from -51+/-2 to -44+/-1 mV) and increased cytosolic calcium in both rat and human PASMCs. Pergolide directly inhibited heterologously expressed Kv1.5 and KCa channels. CONCLUSIONS: Pergolide causes Kv channel inhibition and, despite being from a different class of drugs, has pulmonary vascular effects reminiscent of dexfenfluramine. Coupled with their shared proclivity to induce CLHVD, these findings suggest that clinical monitoring for pergolide-induced PAH should be considered.
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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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".