Hypercalcemia due to CYP24A1 mutations: a systematic descriptive review
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVES: CYP24A1 encodes a 24-hydroxylase involved in vitamin D catabolism, whose loss-of-function results in vitamin D-dependent hypercalcemia. Since the identification of CYP24A1 variants as a cause of idiopathic infantile hypercalcemia, a large body of literature has emerged indicating heterogeneity in penetrance, symptoms, biochemistry, and treatments. The objectives of the present research work were to investigate the clinical heterogeneity of the disease, the possibility of a relevant phenotype for monoallelic carriers, and to compare the hypocalcemic effect of the available therapies. METHODS: Two reviewers searched different databases for studies published between the identification of CYP24A1 variants and December 31, 2020. Eligible studies included clinical trials and reports describing carriers of CYP24A1 variants. RESULTS: Fifty eligible studies were identified, accounting for 221 patients. Genetic data were retrieved and allele frequencies were calculated. Acute hypercalcemia was the typical presentation during the first year of life (76%, P = 0.0005), and nephrocalcinosis was more frequent in infancy (P < 0.0001). Pregnancy was associated with symptomatic hypercalcemia in 81.8% and high rates of obstetric complications. Monoallelic carriers displayed significant rates of nephrolithiasis (19.4%), nephrocalcinosis (4.9%), and symptomatic hypercalcemia (5.6%). CONCLUSIONS: CYP24A1 loss-of-function results in an age-dependent phenotype, which can be exacerbated by triggering factors, such as pregnancy. Although biallelic carriers present more significant clinical and biochemical features, monoallelic carriers have an increased risk of calcium-related conditions. The highly variable tested therapeutic approaches did not allow to draw conclusions on preferable therapeutic regime.
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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 | 0.003 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.004 |
| Bibliometrics | 0.017 | 0.020 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".