Abstract P2024: Treatment of Primary Hyperaldosteronism Increases Plasma Epoxyeicosatrienoic Acids
Bibliographic record
Abstract
Epoxyeicosatrienoic acids (EETs) are lipid signaling molecules formed from arachidonic acid by the action of CYP450s. EETs cause vasodilation, exert anti-inflammatory effects, and enhance insulin secretion and sensitivity. 14,15-DHET has been reported to be increased in patients with hyperaldosteronism, but the effects of aldosteronism on EETs and sEH activity are unknown. We tested the hypothesis that treatment of hyperaldosteronism would alter EET concentrations. We studied 9 patients with biochemically confirmed hyperaldosteronism before and after unilateral adrenalectomy (6) or treatment with a mineralocorticoid (MR) antagonist. Aldosterone decreased significantly from 20.4±15.2 to 6.2±3.7 ng/mL following treatment, but cortisol did not change. Circulating total EET concentrations increased from 11.9±5.9 to 18.5±12.6 nM with treatment of primary hyperaldosteronism. Among the regioisomers of EETs, 14,15-EET significantly increased after treatment, whereas 11,12-EET and 8,9 EET did not change significantly ( Figure ; • adrenalectomy, ○ MR antagonist). EET concentrations increased in patients treated with an MR antagonist as well as those treated by surgical resection. Total DHET concentrations and specific regioisomers of DHET did not change significantly with treatment. Circulating total EETs (r=-0.52, p =0.026), 14,15-EET (-0.56, p =0.015) and 11,12-EET (r=-0.48, p =0.042) correlated inversely with aldosterone. We report for the first time that circulating EET concentrations increase following treatment of primary hyperaldosteronism.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".