Pretreatment with pentoxifylline has antidepressant-like effects in a rat model of acute myocardial infarction
Bibliographic record
Abstract
We have observed that, after myocardial infarction (MI), rats display apoptosis in the limbic system that can be prevented by pentoxifylline (PTX), a proinflammatory cytokine inhibitor. We have hypothesized that reduction of apoptosis in the limbic system can attenuate the depressive behaviour occurring post-MI. The present study was, therefore, designed to assess the outcome of PTX on depressive behaviour manifesting after MI. Myocardial ischaemia, induced for 40 min in male Sprague-Dawley rats, was followed by reperfusion (MI groups). Sham groups were subjected to the same protocol without occlusion. PTX (10 mg/kg/day) or saline was administered intraperitoneally 15 min before ischaemia, and then every day until sacrifice. Two weeks after ischaemia, depression was evaluated by the forced swim test and the sucrose preference test. At the end of the experiment, the animals were sacrificed, and myocardial infarct size was examined along with plasma IL-1β concentrations. MI rats drank less sucrose in the sucrose preference test and were more immobile in the forced swim test than the sham controls. PTX reversed these behaviours in the MI group to a level similar to that in the untreated sham group, without affecting infarct size. PTX reduced plasma IL-1β concentrations in both sham and MI rats. We conclude that PTX administration significantly reverses the depressive-like behaviour seen after MI in rats.
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 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 | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".