Effects of dietary cholesterol and simvastatin on cholesterol absorption and synthesis (CAS) in Smith‐Lemli‐Opitz syndrome (SLOS)
Bibliographic record
Abstract
The objective of this study was to evaluate the effects of dietary cholesterol and statins (ST) on CAS in children with SLOS. A high cholesterol (HI) diet (200–400mg/day of cholesterol) was given to 5 SLOS subjects and a HI diet with ST (HI+ST) (0.1–1.0mg/kg of ST) was administered to 4 SLOS subjects. Three SLOS subjects were fed a low cholesterol (LO) diet (<15 mg cholesterol/1,000 kcal). Dietary phases were at least 4 weeks in duration. Four SLOS subjects were given an oral dose of 13 C‐cholesterol and intravenous injection of D 7 ‐cholesterol to assess cholesterol absorption (ABS) at the end of each phase. D 2 O was administrated orally to 10 SLOS subjects at the end of each phase to measure cholesterol fractional synthesis rate (FSR). CAS was assessed using isotope ratio mass spectrometry (IRMS). HI+ST feeding tended to decrease ABS as compared to HI and LO diets (27.0%, 9.1% and 31.8% for HI, HI+ST and LO, respectively). FSR was lower (P=0.0003) with HI and HI+ST feeding as compared to LO diet (1.4±0.9%, 0.8±1.1%, and 4.8±1.0% for HI, HI+ST and LO, respectively). These findings show feasibility of measuring CAS with stable isotopes in SLOS. ABS may be reduced with ST administration in children with SLOS. HI diet with or without ST lowers FSR in SLOS. The present results support the use of HI diet or HI diet + ST as potential therapy for SLOS. ( Sponsored by NIH) .
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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) | 0.000 | 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) | 0.001 | 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".