<i>STAT1</i> Mutations in Autosomal Dominant Chronic Mucocutaneous Candidiasis
Bibliographic record
Abstract
BACKGROUND: Chronic mucocutaneous candidiasis (CMC) is characterized by susceptibility to candida infection of skin, nails, and mucous membranes. Patients with recessive CMC and autoimmunity have mutations in the autoimmune regulator AIRE. The cause of autosomal dominant CMC is unknown. METHODS: We evaluated 14 patients from five families with autosomal dominant CMC. We incubated their peripheral-blood mononuclear cells with different combinations of stimuli to test the integrity of pathways that mediate immunity, which led to the selection of 100 genes that were most likely to contain the genetic defect. We used an array-based sequence-capture assay, followed by next-generation sequencing, to identify mutations. RESULTS: The mononuclear cells from the affected patients were characterized by poor production of interferon-γ, interleukin-17, and interleukin-22, suggesting that the defect lay within the interleukin-12 receptor and interleukin-23 receptor signaling pathways. We identified heterozygous missense mutations in the DNA sequence encoding the coiled-coil (CC) domain of signal transducer and activator of transcription 1 (STAT1) in the patients. These mutations lead to defective responses in type 1 and type 17 helper T cells (Th1 and Th17). The interferon-γ receptor pathway was intact in these patients. CONCLUSIONS: Mutations in the CC domain of STAT1 underlie autosomal dominant CMC and lead to defective Th1 and Th17 responses, which may explain the increased susceptibility to fungal infection. (Funded by the Netherlands Organization for Scientific Research and others.).
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".