Evaluating Angiotensin II Type 1 Receptor Changes in Post- Renal Insufficiency and in Left Anterior Descending Artery Ligation Animal Models Using [11C]Methyl-Candesartan
Bibliographic record
Abstract
Non invasive in vivo imaging will lead to better understanding of Angiotensin II Type 1 Receptor’s (AT1R) role in disease progression and may guide therapy in cardiovascular patients. Two models were used in this project: 5/6 nephrectomy and transient left anterior descending (LAD) ligation. Rats were scanned with [13N]ammonia and [11C]methyl-candesartan, both of which are Positron Emission Tomography (PET) tracers, at 8 weeks (nephrectomy) and 2 weeks (LAD ligation) after surgery. Western blot analysis was used to corroborate PET data. Nephrectomy: Renal AT1R image analysis displayed a 40% decrease in kidney AT1R in nephrectomized animals compared to sham (p<0.05) which was confirmed with Western blot and biodistribution. LAD ligation: Left Ventricle AT1R Western blot analysis exhibited a 60% increase in 20min ligation (p<0.05) with maintained myocardial blood flow. In conclusion, changes in renal AT1R were successfully imaged using [11C]methyl-candesartan in nephrectomized animals, and 20min LAD ligation/reperfusion is an appropriate model to image an increase in cardiac AT1R following ischemic injury.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".