Cardiac Steatosis and Left Ventricular Hypertrophy in Patients With Generalized Lipodystrophy as Determined by Magnetic Resonance Spectroscopy and Imaging
Bibliographic record
Abstract
Generalized lipodystrophy is a rare disorder characterized by marked loss of adipose tissue with reduced triglyceride storage capacity, leading to a severe form of metabolic syndrome including hypertriglyceridemia, insulin resistance, type 2 diabetes mellitus, and hepatic steatosis. Recent echocardiographic studies suggest that concentric left ventricular (LV) hypertrophy is another characteristic feature of this syndrome, but the mechanism remains unknown. It has recently been hypothesized that the LV hypertrophy could be an extreme clinical example of "lipotoxic cardiomyopathy": excessive myocyte accumulation of triglyceride leading to adverse hypertrophic signaling. To test this hypothesis, the first cardiac magnetic resonance study of patients with generalized lipodystrophy was performed, using magnetic resonance imaging and localized proton spectroscopy to detect excessive triglyceride content in the hypertrophied myocytes. Six patients with generalized lipodystrophy and 6 healthy controls matched for age, gender, and body mass index were studied. As hypothesized, myocardial triglyceride content was threefold higher in patients than controls: 0.6 ± 0.2% versus 0.2 ± 0.1% (p = 0.004). The presence of pericardial fat was also found, representing a previously undescribed adipose depot in generalized lipodystrophy. Patients with generalized lipodystrophy, compared with controls, also had a striking degree of concentric LV hypertrophy, independent of blood pressure: LV mass index 101.0 ± 18.3 versus 69.0 ± 17.7 g/m(2), respectively (p = 0.02), and LV concentricity 1.3 ± 0.3 versus 0.99 ± 0.1 g/ml, respectively (p = 0.04). In conclusion, these findings advance the lipotoxicity hypothesis as a putative underlying mechanism for the dramatic concentric LV hypertrophy found in generalized lipodystrophy.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".