Novel genotypes, phenotypes, and triggers in humans with OTULIN haploinsufficiency
Bibliographic record
Abstract
Human OTULIN haploinsufficiency predisposes to life-threatening necrosis of the skin and lungs. Disease is triggered by infectious agents, typically Staphylococcus aureus, as well as unknown etiologies. We describe and characterize six unrelated patients who carry rare, predicted deleterious variants of OTULIN in heterozygosity. In addition to staphylococcal infections, the disease in the patients is elicited by previously underappreciated triggers, including mechanical or iatrogenic traumas and pseudomonal or clostridial infections. Severe necrosis of the lungs and/or skin are clinical hallmarks of their disease. By combining in vitro allele characterizations and functional studies in patients’ cells, we demonstrate that the patients suffer from OTULIN haploinsufficiency. We provide guidance for assessing heterozygous OTULIN variants in diagnostic settings by evaluating in silico measures of predicted deleteriousness. The clinical course of the patients expands the genotypic and phenotypic spectrum of OTULIN haploinsufficiency and provides, in the light of a broadening of triggers, leads for therapeutic interventions.
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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 | 0.000 | 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".