Toxicological Evaluation of a Rotenone Derivative in Rodents for Clinical Myocardial Perfusion Imaging
Bibliographic record
Abstract
Myocardial perfusion scintigraphy is a valuable clinical tool for assessing coronary blood flow deficits in patients. We recently synthesized a new iodinated compound ((123)I-CMICE-013) based on rotenone and showed that it has excellent performance as a radiotracer for myocardial perfusion imaging. Here, we describe the cellular toxicity and subacute toxicity of CMICE-013 in rats. Cultured hepatocytes displayed sensitivity to rotenone but not CMICE-013 at equimolar concentrations. Following i.v. injection of CMICE-013 for 14 days, body weight, ambulation, behavior, grooming, guarding (abdominal, muscular), pale conjunctivae, and food intake were observed. Biochemical, hematological, and histopathological changes in tissues (heart, liver, kidney, spleen, lung, and brain) and echocardiography at pre- and post-dosing were also examined. All animals responded well to the daily injections of CMICE-013 and showed no mortality or adverse reactions with respect to the parameters above. Subacute i.v. injections at high- (5 μg/kg) and low (1 μg/kg)-dose levels did not result in any significant changes to either biochemical or hematological parameters and no detectable changes in histopathology compared to the vehicle or untreated animals. Echocardiographic analyses, including the measurements of cardiac function and anatomy (wall thickness, left atrial size, and left ventricular mass), were not different at pre- versus post-dose measures and were not different compared to the vehicle or untreated animals. Our observations in small animals reveal that CMICE-013 induces minimal toxicity when delivered intravenously for 14 days.
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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) | 0.001 | 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 | 0.001 | 0.001 |
| 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".