Prenatal Diagnosis of Miscellaneous Biochemical Disorders
Bibliographic record
Abstract
This chapter discusses disorders of folate metabolism and those of cobalamin metabolism, and summarizes advances in the prenatal diagnosis of these disorders. The genes for all of these disorders have been identified, and prenatal diagnosis by molecular genetic analysis is possible when the causal mutations segregating in the family are known. Six genetic disorders affecting folate metabolism are generally recognized: hereditary folate malabsorption, cerebral folate deficiency, methylenetetrahydrofolate reductase deficiency, glutamate formiminotransferase deficiency, dihydrofolate reductase deficiency, and MTHFD1 deficiency. All of the inborn errors affecting folate metabolism are inherited as autosomal recessive traits. The chapter considers the disorders that affect activity of methionine synthase (cblE and cblG), which uses 5-methyltetrahydrofolate as a methyl donor. Cystinosis can be diagnosed by examining the cystine content of cultured fibroblasts or leukocytes. Treatment in cystinosis includes the management of the renal disease and dialysis or transplantation after end-stage renal disease develops.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.014 | 0.002 |
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".