Prenatal hydrops fetalis associated with infantile free sialic acid storage disease due to a novel homozygous deletion in the <i>SLC17A5</i> gene
Bibliographic record
Abstract
Nonimmune hydrops fetalis, the excessive accumulation of serous fluid in the subcutaneous tissues and serous cavities of the fetus, has many possible etiologies, providing a diagnostic challenge for the physician. Lysosomal storage diseases have been reported in up to 5%–16% of nonimmune hydrops fetalis pregnancies. Infantile free sialic acid storage disease (ISSD) (OMIM #269920) is a severe form of autosomal recessive sialic acid storage disease. ISSD is caused by mutations in SLC17A5 (OMIM #604322), which encodes sialin, a lysosomal-membrane sialic acid transporter. We describe a case of fetal hydrops due to a novel homozygous deletion in the SLC17A5 gene. Prenatal single-nucleotide polymorphism (SNP) array analysis was performed on amniocytes after the discovery of fetal hydrops at 24 wk gestation revealing no copy-number variants. The SNP array, however, reported several regions of homozygosity (ROHs) including one on Chromosome 6 encompassing the SLC17A5 gene. High levels of urine sialic acid in the newborn were detected. SLC17A5 gene sequencing was initiated with no sequence variants identified; however, the assay failed to amplify exons 8 and 9, prompting an exon-level copy-number analysis that revealed a novel homozygous deletion of exons 8 and 9, inherited from heterozygous carrier parents. ISSD should be considered in the workup of patients with nonimmune hydrops fetalis, and analysis for SLC17A5 deletions should be carried out when variants are not detected by gene sequencing.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".