Paroxetine-Induced Increase in Metabolic End Products of Nitric Oxide
Bibliographic record
Abstract
Decreased production of endothelium-derived nitric oxide has been implicated in the pathogenesis of cardiovascular diseases. Metabolic end products of nitric oxide (NO(x)) are often used as markers for endothelial nitric oxide production in humans. Decreased endothelium-derived nitric oxide has been suggested to mediate some of the deleterious effects of conventional cardiovascular risk factors such as hypercholesterolemia, smoking, and physical inactivity. A substantial number of patients with cardiovascular diseases suffer from comorbid major depressive disorder, which is a predictor of a poorer cardiovascular outcome. Paroxetine is a first-line antidepressant and has been reported to decrease plasma NO(x), theoretically suggesting a potential deleterious effect on the cardiovascular system. We assessed the hypothesis that paroxetine would induce a decrease in plasma NO(x) in healthy volunteers. Plasma NO(x) levels were measured by chemiluminescence at baseline, after 8 weeks of paroxetine administration, and at postdiscontinuation. Contrary to our hypothesis, we found that paroxetine administration induced a significant increase in NO(x) that normalized after paroxetine discontinuation. It remains to be demonstrated that the paroxetine-induced increase in NO(x) is associated with a modification of the cardiovascular risk in patients with major depressive disorder.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
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 | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".