Maladaptative Autophagy Impairs Adipose Function in Congenital Generalized Lipodystrophy due to Cavin-1 Deficiency
Bibliographic record
Abstract
CONTEXT: Mutations in PTRF encoding cavin-1 are responsible for congenital generalized lipodystrophy type 4 (CGL4) characterized by lipoatrophy, insulin resistance, dyslipidemia, and muscular dystrophy. Cavin-1 cooperates with caveolins to form the plasma membrane caveolae, which are involved in cellular trafficking and signalling and in lipid turnover. OBJECTIVE: We sought to identify PTRF mutations in patients with CGL and to determine their impact on insulin sensitivity, adipose differentiation, and cellular autophagy. DESIGN AND PATIENTS: We performed phenotyping studies and molecular screening of PTRF in two unrelated families with CGL. Cellular studies were conducted in cultured skin fibroblasts from the two probands and from control subjects, and in murine 3T3-F442A preadipocytes. Knockdown of cavin-1 or ATG5 was obtained by small interfering RNA-mediated silencing. RESULTS: We identified two new PTRF homozygous mutations (p.Asp59Val or p.Gln157Hisfs*52) in four patients with CGL4 presenting with generalized lipoatrophy and associated metabolic abnormalities. In probands' fibroblasts, cavin-1 expression was undetectable and caveolin-1 and -2 barely expressed. Ultrastructural analysis revealed a loss of membrane caveolae and the presence of numerous cytoplasmic autophagosomes. Patients' cells also showed increased autophagic flux and blunted insulin signaling. These results were reproduced by PTRF knockdown in control fibroblasts and in 3T3-F442A preadipocytes. Cavin-1 deficiency also impaired 3T3-F442A adipocyte differentiation. Suppression of autophagy by small interfering RNA-mediated silencing of ATG5 improved insulin sensitivity and adipocyte differentiation. CONCLUSIONS: This study showed that cavin-1 deficiency resulted in maladaptative autophagy that contributed to insulin resistance and altered adipocyte differentiation. These new pathophysiological mechanisms could open new therapeutic perspectives for adipose tissue diseases including CGL4.
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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 | 0.000 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".