LMNA R482Q Mutation in Partial Lipodystrophy Associated with Reduced Plasma Leptin Concentration*
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Bibliographic record
Abstract
Mutations in LMNA, which encodes lamins A and C, have been found in patients with autosomal dominant Dunnigan-type familial partial lipodystrophy (FPLD). We analyzed the relationship between plasma leptin and the rare LMNA R482Q mutation in 23 adult FPLD subjects compared with 25 adult family controls with normal LMNA in an extended Canadian FPLD kindred. We found that the LMNA Q482/R482 genotype was a significant determinant of plasma leptin, the ratio of plasma leptin to body mass index (BMI), plasma insulin, and plasma C peptide (P= 0.015, P = 0.0007, P = 0.0004, and P < 0.0001, respectively), but not BMI (P = 0.67). Family members who were heterozygous for LMNA Q482/R482 had significantly lower plasma leptin and leptin:BMI ratio than unaffected R482/R482 homozygotes. Fasting plasma concentrations of insulin and C peptide were both significantly higher in LMNA Q482/R482 heterozygotes than in R482/R482 homozygotes. Multivariate regression analysis revealed that the LMNA R482Q genotype accounted for 40.9%, 48.2%, 86.9%, and 81.0%, respectively, of the attributable variation in log leptin, leptin:BMI ratio, log insulin, and log C peptide (P = 0.013, P = 0.0007, P = 0.0002 and P < 0.0001, respectively). The results indicate that a rare FPLD mutation in LMNA determines the plasma leptin concentration. It remains to be established whether the reduction in leptin results from the reduced adipose tissue mass in FPLD or from another subcellular effect of mutant LMNA. It also remains to be established whether the insulin resistance in FPLD is a consequence of the reduced plasma leptin or of another functional change resulting from mutant LMNA.
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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 | 0.001 | 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 it