Genetic Lipodystrophies: Models for Insulin Resistance
Bibliographic record
Abstract
The common syndrome of insulin resistance with hyperinsulinemia is frequently associated with a collection of metabolic abnormalities, including dyslipidemia, hypertension and diabetes. Lipodystrophy syndromes, which include both genetic and acquired forms, resemble the insulin resistance syndrome, particularly with respect to the presence of associated biochemical disturbances such as hyperlipidemia and diabetes. Since the discovery in 1999 that mutant LMNA causes Dunnigan-type partial lipodystrophy, human mutations in three other genes have been implicated in inherited lipodystrophy syndromes, namely PPARG in partial lipodystrophy, and AGPAT and BSCL2 in complete lipodystrophy. There is evidence for additional genetic heterogeneity for lipodystrophy syndromes. Delineation of the human molecular genetic basis of forms of inherited lipodystrophy may help to identify pathways and molecular targets for the common insulin resistance syndrome and for acquired drug-induced lipodystrophy syndromes.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.000 |
| 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".