Abstract 15649: Pharmacological Inhibition of Aldose Reductase by AT001 Prevents Abnormal Cardiac Energy Metabolism and Improves Heart Function in an Animal Model of Diabetic Cardiomyopathy
Bibliographic record
Abstract
Introduction: Diabetic Cardiomyopathy (DCM) is a major cause of death in people with type 2 diabetes (T2D). Alterations in cardiac energy metabolism including increased fatty acid oxidation rates and reduced glucose oxidation rates are key contributing factors to the development of DCM. Studies have shown that Aldose Reductase (AR), an enzyme activated under hyperglycemic conditions, can modulate myocardial glucose and fatty acid oxidation, and promotes cardiac dysfunction. Hypothesis: Pharmacological inhibition of AR using a next-generation inhibitor AT-001, can mitigate DCM in mice by modulating cardiac energy metabolism and improving cardiac efficiency. Methods: Male human AR overexpressing (hAR-Tg) and C57BL/6J (Control) mice were subjected to experimental T2D (high-fat diet [60% kcal from lard] for 10-wk with a single intraperitoneal streptozotocin injection of 75 mg/kg) and treated for the last 3-wk with AT-001 (40mg/kg/day) or vehicle via oral gavage. Cardiac energy metabolism and in vivo cardiac function were assessed via isolated working heart perfusions and ultrasound echocardiography, respectively. Results: AT-001 treatment significantly improved cardiac energetics in a murine model of DCM (hAR-Tg mice with T2D). Particularly, AT-001-treated mice exhibited decreased cardiac fatty acid oxidation rates compared to the vehicle-treated mice (342 ± 53 vs 964 ± 130 nmol/min/g dry wt.). Concurrently, there was a significant decrease in cardiac oxygen consumption in the AT-001-treated compared to the vehicle-treated mice (41 ± 12 vs 60 ± 11 μmol/min/g dry wt.), suggesting increased cardiac efficiency. Furthermore, treatment with AT-001 prevented cardiac structural and functional abnormalities present in DCM, including diastolic dysfunction as reflected by an increase in the tissue Doppler E’/A’ ratio and decrease in E/E’ ratio. Moreover, AT-001 treatment prevented cardiac hypertrophy as reflected by a decrease in LV mass in AT-001-treated mice. Conclusions: AR inhibition with AT-001 prevents cardiac structural and functional abnormalities in a mouse model of DCM, and normalizes cardiac energetics by shifting cardiac metabolism towards a non-diabetic metabolic state.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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".