Unexpected metabolic alterations in VLCAD (very long chain acyl‐CoA dehydrogenase) deficient mouse hearts
Bibliographic record
Abstract
Patients with fatty acid oxidation (FAO) defects develop a cardiomyopathy, yet the underlying mechanism is unclear. Using our established working mouse heart model and 13 C‐methodology, we have compared the metabolic phenotype of hearts from VLCAD deficient (VLCAD −/− ) mice, which is the most common FAO disorder in human, and their control VLCAD +/+ counterparts. The expression of selected metabolic genes was also assessed using qPCR. Unexpectedly, 3 month‐old fed or fasted, or 7 month‐old fed VLCAD −/− mouse hearts displayed values for exogenous long chain FAO that were similar to controls, suggesting a compensatory mechanism, although the partitioning of these FA between oxidation and triglycerides was altered in these hearts. Gene expression profiling data revealed little or no difference in the transcript levels for other long chain FAO enzymes (Acadl and Acad9) in 3 or 7 month‐old VLCAD −/− hearts, but that of hormone sensitive lipase (Hsl) was significantly decreased (p<0.001) at 7 months following fasting. Finally, VLCAD −/− hearts showed additional lipid alterations, namely a 30% (p<0.001) decline in docosahexaenoic acid levels in cardiac phospholipids at 3 and 7 months. Collectively, our data highlight unexpected age‐dependent metabolic alterations in VLCAD deficient mouse hearts, which may contribute to cardiomyopathy development. (Supported by NIH & CIHR)
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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) | 0.002 | 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".