Pentagastrin-induced release of free fatty acids in healthy volunteers and patients with panic disorder: effect of pretreatment with ethinyl estradiol
Bibliographic record
Abstract
OBJECTIVE: The primary objective of this study was to assess whether pentagastrin-induced panic symptoms are associated with release of free fatty acids (FFAs) in a manner that could explain the mechanism of correlations observed between serum cholesterol levels and frequency and severity of panic attacks in patients with panic disorder (PD). A secondary objective was to assess whether pretreatment with ethinyl estradiol (EE) attenuates pentagastrin-induced release of FFAs. METHODS: A double-blind, crossover, placebo-controlled study was conducted in which patients with PD and healthy volunteers received 2 injections of pentagastrin, 7-10 days apart, with randomization of the order of pretreatment with placebo and EE. RESULTS: We found a statistically significant, time-dependent release of FFAs in response to pentagastrin challenge. However, this release of FFAs was not attenuated by pretreatment with EE. CONCLUSIONS: These results support the hypothesis that release of FFAs in association with panic attacks occurs in a manner similar to the stress-induced lipolysis model. This suggests a possible mechanism for the elevated serum cholesterol levels observed in patients with PD. However, the occurrence of a delayed increase in low-density lipoprotein (LDL) cholesterol following induction of a panic attack remains to be tested in studiesincorporating a placebo injection visit and timed measurements of LDL cholesterol.
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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 | 0.001 | 0.002 |
| 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 | 0.000 | 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".