Caveolar dysfunction and lipodystrophies
Bibliographic record
Abstract
Congenital generalized lipodystrophy (CGL) is a rare, heterogeneous, autosomal recessive disorder characterized by the near-total absence of body fat with increased muscularity noticed at birth or in early infancy. Four distinct genetic subtypes of CGL have been reported to date. Types 1 and 2 are caused by biallelic variants in the 1-acylglycerol-3-phosphate-O-acyltransferase 2 (AGPAT2) and Berardinelli–Seip congenital lipodystrophy 2 (BSCL2) genes, respectively and are the most common subtypes (1). Types 3 and 4 are extremely rare and are caused by biallelic variants in the caveolin 1 (CAV1) (2), and caveolae-associated protein-1 (CAVIN1; also known as polymerase I and transcript release factor (PTRF)]) genes (3), respectively. Patients with all CGL subtypes are predisposed to metabolic complications of insulin resistance, such as diabetes mellitus, hypertriglyceridemia, and hepatic steatosis; however, each subtype presents with some unique clinical features. Type 3 CGL was initially reported in the landmark study of a single 20-year-old Brazilian female belonging to a consanguineous family with a homozygous p.(Glu38*) CAV1 variant (2). She had generalized lipodystrophy, short stature, functional megaesophagus, severe hypertriglyceridemia, primary amenorrhea, chronic diarrhea, hepatic steatosis, and splenomegaly, and hypocalcemia presumed to be secondary to vitamin D resistance (2). She also had early onset acanthosis nigricans and hirsutism and developed diabetes at 13 years of age. She had absence of metabolically active adipose tissue, but mechanical adipose tissue and bone marrow fat were well-preserved (2). However, it was not clear which phenotypic features of this patient could be specifically attributed to the homozygous CAV1 variant; additional patients were required to prove the disease-gene association.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".