Early-Onset Central Diabetes Insipidus due to Compound Heterozygosity for AVP Mutations
Bibliographic record
Abstract
BACKGROUND: Genetic cases of isolated central diabetes insipidus are rare, are mostly due to dominant AVP mutations and have a delayed onset of symptoms. Only 3 consanguineous pedigrees with a recessive form have been published. CASE REPORT: A boy with a negative family history presented polyuria and failure to thrive in the first months of life and was diagnosed with central diabetes insipidus. Magnetic resonance imaging showed a normal posterior pituitary signal. A molecular genetic analysis of the AVP gene showed that he had inherited a previously reported mutation from his Lebanese father and a novel A>G transition in the splice acceptor site of intron 1 (IVS1-2A>G) from his French-Canadian mother. Replacement therapy resulted in the immediate disappearance of symptoms and in weight gain. CONCLUSIONS: The early polyuria in recessive central diabetes insipidus contrasts with the delayed presentation in patients with monoallelic AVP mutations. This diagnosis needs to be considered in infants with very early onset of polyuria-polydipsia and no brain malformation, even if there is no consanguinity and regardless of whether the posterior pituitary is visible or not on imaging. In addition to informing family counseling, making a molecular diagnosis eliminates the need for repeated imaging studies.
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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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".