The cardioprotective role of renin-angiotensin system antagonists in the prevention of Bevacizumab and Sunitinib mediated cardiotoxicity
Bibliographic record
Abstract
Background: Targeted agents Bevacizumab and Sunitinib are associated with an increased risk of cardiovascular complications in colorectal and renal cancer settings, respectively. Objective: To elucidate whether renin-angiotensin system (RAS) antagonists can prevent Bevacizumab and Sunitinib mediated cardiotoxicity in a murine model. Methods: A total of 194 male mice received 0.9% saline, Bevacizumab, or Sunitinib for 4 weeks. Within each arm, daily prophylactic intake of water, Hydralazine, Aliskiren, Perindopril, or Valsartan were administered for the entire study period. Following serial hemodynamic and echocardiographic assessments, the hearts were collected for histological and biochemical analyses. Results: Although Hydralazine effectively lowered blood pressure in Bevacizumab or Sunitinib treated mice, it was not cardioprotective. However, prophylactic administration of RAS antagonists prevented the development of hypertension, improved cardiac function, partially preserved cellular integrity, and attenuated cardiac apoptosis at week 4. Conclusion: In a chronic murine model, RAS antagonists partially prevented Bevacizumab or Sunitinib mediated cardiotoxicity.
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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 | 0.000 |
| 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) | 0.002 | 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".