Maternal urinary steroid profiles in prenatal diagnosis of Smith–Lemli–Opitz syndrome: first patient series comparing biochemical and molecular studies
Bibliographic record
Abstract
Smith-Lemli-Opitz syndrome (SLOS) is an autosomal recessive disorder caused by reduced activity of 7-dehydrocholesterol (7DHC) reductase, resulting in a decreased level of cholesterol and increased concentrations of 7DHC and 8DHC in body fluids and tissues. Ten pregnancies at 25% risk of SLOS underwent prenatal testing. Diagnostic studies included DHCR7 mutation analysis in chorionic villus samples, amniotic fluid sterol analysis and serial measurements of oestriol (E3), pregnanetriol (PT), 7-dehydropregnanetriol (7DHPT) and 8-dehydroesteriol (8DHE3) concentrations in maternal urine samples obtained between 9 and 20 weeks of gestation. All tests were diagnostic and revealed nine unaffected foetuses (two normal homozygotes and seven DHCR7 heterozygotes) and one affected foetus. In the affected pregnancy, 7DHC and 8DHC in amniotic fluid were 9.87 and 3.7 microg/ml, respectively [reference range (RR) 0.0026 +/- 0.0015 microg/ml and not detectable, respectively] and maternal urinary steroid analyses showed increased ratios of 7DHPT/PT and 8DHE3/E3 of 0.74 and 1.7, respectively (RR 0-0.0147 and 0-0.019). In the heterozygous foetuses, 7DHPT/PT and 8DHE3/E3 ratios did not exceed those found in 48 normal controls. This is the first series of prenatal diagnostic testing for SLOS where non-invasive biochemical testing was performed in tandem with invasive diagnostic testing. We conclude that steroid measurements in maternal urine are a reliable means of prenatal diagnosis for SLOS.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".