Impairment of endothelial protection by ischemic postconditioning in patients with major depressive disorder
Bibliographic record
Abstract
This study used a model of ischemia-reperfusion injury to the brachial artery endothelium to investigate whether the protective role of ischemic postconditioning (IPostC) is impaired in patients with major depressive episode. Flow-mediated dilation (FMD) was measured before and after ischemia-reperfusion in the absence or presence of IPostC in 24 patients with major depressive disorder and 20 healthy controls. In addition, the severity of the depression, as assessed by the Hamilton Depression Rating Scale (HDRS) and Beck Depression Inventory (BDI) scores, and plasma nitrogen dioxide (NO(x)) levels were also determined. Ischemia-reperfusion resulted in a significant decrease in FMD in both patients with a major depressive episode and healthy controls. IPostC effectively prevented this decrease in FMD in healthy controls, but not in patients with a major depressive episode. HDRS and BDI scores were markedly increased, but plasma NO(x) levels decreased, in patients with a major depressive episode compared with those in healthy controls. Correlation analysis showed that HDRS and BDI scores and plasma NO(x) levels were significantly associated with post-ischemia-reperfusion FMD. These results suggest that endothelial protection by IPostC is impaired in patients with major depressive disorder, which may be related to the decrease in endothelial nitric oxide production and the severity of the depression.
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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 | 0.001 |
| 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) | 0.000 | 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 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".