Early structural and metabolic cardiac remodelling in response to inducible adipose triglyceride lipase ablation
Bibliographic record
Abstract
AIMS: While chronic alterations in cardiac triacylglycerol (TAG) metabolism and accumulation are associated with cardiomyopathy, it is unclear whether TAG catabolizing enzymes such as adipose triglyceride lipase (ATGL) play a role in acquired cardiomyopathies. Importantly, germline deletion of ATGL leads to marked cardiac steatosis and heart failure in part through reducing peroxisome proliferator-activated receptor α (PPARα) activity and subsequent fatty acid oxidation (FAO). However, whether ATGL deficiency specifically in adult cardiomyocytes contributes to impaired PPARα activity, cardiac function, and metabolism is not known. METHODS AND RESULTS: To study the effects of acquired cardiac ATGL deficiency on cardiac PPARα activity, function, and metabolism, we generated adult mice with tamoxifen-inducible cardiomyocyte-specific ATGL deficiency (icAtglKO). Within 4-6 weeks following ATGL ablation, icAtglKO mice had markedly increased myocardial TAG accumulation, fibrotic remodelling, and pathological hypertrophy. Echocardiographic analysis of hearts in vivo revealed that contractile function was moderately reduced in icAtglKO mice. Analysis of energy metabolism in ex vivo perfused working hearts showed diminished FAO rates which was not paralleled by markedly impaired PPARα target gene expression. CONCLUSIONS: This study shows that acquired cardiomyocyte-specific ATGL deficiency in adult mice is sufficient to promote fibrotic and hypertrophic cardiomyopathy and impair myocardial FAO in the absence of markedly reduced PPARα signalling.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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 teacher head, 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".