Abstract P2025: Primary Aldosteronism Decreases Insulin Secretion and Increases Insulin Clearance in Humans
Bibliographic record
Abstract
Primary aldosteronism is associated with an increased risk of diabetes, but the mechanism is uncertain. We enrolled 9 patients with primary aldosteronism and assessed insulin secretion and insulin sensitivity beforte and after 3-12 months after either adrenalectomy (n-6) or medical treatment (n=3). Plasma 8AM Aldosterone ( p =0.02) and 11-deoxycorticosterone ( p =0.02) decreased after treatment, whereas cortisol was unchanged ( p =0.57). Systolic blood pressure (131.1±3.6 vs 124.3±7.7; p =0.43), serum potassium (3.7±0.1 vs 4.1±0.1 mEq/L; p =0.063), and creatinine (1.1±0.1 vs 1.2±0.1 mg/dL; p =0.35) were similar after treatment. During hyperglycemic clamps, we infused glucose to increase plasma glucose to a target of 200mg/dL ( a ). The insulin response ( b , 218.6±39.8 vs 403.1±42.0 pM insulin mean at 90-120 min, p =0.004) and L-arginine stimulated insulin response ( c) increased compared to Pre-Treatment assessment. C-peptide results were similar to insulin alterations. Comparison to control subjects matched for age, race, sex, and BMI ( Figure , gray line and area indicating mean±95%CI) indicated that insulin secretion after treatment was comparable to healthy individuals. During hyperinsulinemic-euglycemic clamps, insulin clearance (steady state insulin divided by insulin infusion rate) increased after treatment (855±68 vs 615±57 mL/min, p =0.031). Insulin sensitivity decreased after treatment (30.7±2.1 vs 18.5±1.6 M/I; p =0.016), but disposition index was unchanged (acute insulin response x M/I; p =0.81).
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.018 | 0.002 |
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".