Effects of Angiotensin-1 Converting Enzyme Inhibition on Oxidative Stress and Bradykinin Receptor Expression During Doxorubicin-induced Cardiomyopathy in Rats
Bibliographic record
Abstract
To evaluate the mechanisms and the impact of the angiotensin-converting enzyme inhibitor perindopril (P) in a model of doxorubicin (D)-induced cardiotoxicity, male Wistar rats received D (1 mg/kg/d, IP for 10 days), P (2 mg/kg/d by gavage from day 1 to day 18), D (for 10 days) + P (for 18 days) or saline. D decreased systolic blood pressure and body and heart weights. Left ventricular diastolic diameter was increased by D (P < 0.01), but it was not attenuated by P. D decreased plasma vitamin C (P < 0.05) and increased the ascorbyl radical/vitamin C ratio (P < 0.01). This ratio was attenuated by P. No difference was found among groups in cardiac troponin I, brain natriuretic peptide concentrations, and tissue oxidative stress (OS). Myocardial MCP-1 expression was higher in the D group. Cardiac kinin receptor (B1R and B2R) expression was not affected by D, yet binding sites for B2R and B1R were increased in D+P and P groups, respectively (P < 0.05). In conclusion, D induced cardiac functional alterations, inflammation and plasma OS whereas tissue OS, and cardiac kinin receptors expression were not modified. P did not improve cardiac performance, but it modulated kinin receptor expression and enhanced antioxidant defense.
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".