Peroxisomal D-bifunctional protein deficiency
Bibliographic record
Abstract
OBJECTIVE: To determine the causative genetic lesion in 3 adult siblings with a slowly progressive, juvenile-onset phenotype comprising cerebellar atrophy and ataxia, intellectual decline, hearing loss, hypogonadism, hyperreflexia, a demyelinating sensorimotor neuropathy, and (in 2 of 3 probands) supratentorial white matter changes, in whom numerous prior investigations were nondiagnostic. METHODS: The patients' initial clinical assessment included history and physical examination, cranial MRI, and nerve conduction studies. We performed whole-exome sequencing of all 3 probands, followed by variant annotation and selection of rare, shared, recessive coding changes to identify the gene responsible. We next performed a panel of peroxisomal investigations in blood and cultured fibroblasts, including assessment of D-bifunctional protein (DBP) stability and activity by immunoblot and enzymologic methods, respectively. RESULTS: Exome sequencing identified compound heterozygous mutations in HSD17B4, encoding peroxisomal DBP, in all 3 probands. Both identified mutations alter a conserved residue within the active site of DBP's enoyl-CoA hydratase domain. Routine peroxisomal screening tests, including very long-chain fatty acids and phytanic acid, were normal. DBP enzymatic activity was markedly reduced. CONCLUSION: Exome sequencing provides a powerful and elegant tool in the specific diagnosis of "mild" or "atypical" neurometabolic disorders. Given the broad differential diagnosis and the absence of detectable biochemical abnormalities in blood, molecular testing of HSD17B4 should be considered as a first-line investigation in patients with compatible features.
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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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".