Right ventricular dysfunction in preclinical models of type I and type II diabetes
Bibliographic record
Abstract
Diabetic cardiomyopathy (DCM) is a growing clinical entity and major health burden characterized by comorbid diabetes mellitus and heart failure. DCM has been commonly associated with impaired function of the left ventricle (LV); however, DCM likely also occurs in the right ventricle (RV) which has distinct physiology and pathophysiology from the LV. RV dysfunction is the strongest determinant of mortality in several clinical contexts yet remains poorly studied in diabetes. We investigated RV-specific pathophysiology using two models of diabetes-a well-characterized type 2 diabetes (T2DM) model of high-fat diet and low-dose streptozotocin (STZ) in the mouse and a large animal model of type I diabetes in domestic pigs rendered diabetic with STZ. RV global and systolic function deteriorated with diabetes, alongside hypertrophic and fibrotic remodeling. We report evidence of impaired RV insulin sensitivity, dysregulated RV metabolic gene expression, and impaired mitochondrial dynamics. Importantly, while some of these outcomes were similar to those widely reported in the LV, others were not, such as unchanged antioxidant gene expression and regulators of fatty acid uptake. Importantly, these RV-specific changes occurred in both male and female T2DM mice, together emphasizing the importance of distinguishing the RV from the LV when studying DCM and begging the consideration of RV-specific therapies.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".