A Single-Base Mutation in the Peroxisome Proliferator-Activated Receptor γ4 Promoter Associated with Altered<i>in Vitro</i>Expression and Partial Lipodystrophy
Bibliographic record
Abstract
Familial partial lipodystrophy (FPLD) results from coding sequence mutations either in LMNA, encoding nuclear lamin A/C, or in PPARG, encoding peroxisome proliferator-activated receptor gamma (PPARgamma). The LMNA form is called FPLD2 (MIM 151660), and the PPARG form is called FPLD3 (MIM 604367). We now report a 21-yr-old female with FPLD and no coding sequence mutations in either LMNA or PPARG. She was heterozygous for a novel A>G mutation at position -14 of intron B upstream of PPARG exon 1 within the promoter of the PPARgamma4 isoform. Her less severely affected father, who had features of the metabolic syndrome and a paucity of limb and gluteal fat, was also heterozygous for -14A>G. This mutation was absent among 600 alleles from normal Caucasians. A minimal promoter sequence bearing the mutation had significantly reduced promoter activity when used to drive reporter expression in in vitro expression in two cell lines, compared with the wild-type sequence. This is the first report of a human mutation in the promoter of a PPARgamma isoform. Because the mutation affects PPARgamma4 expression and is associated with FPLD, this implies that PPARgamma4 might be important for fat depot distribution and metabolism in vivo.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".