Chronic mucocutaneous Candidiasis caused by a novel <i>STAT1</i> mutation: a report of 4 patients
Bibliographic record
Abstract
Background: Chronic mucocutaneous Candidiasis (CMCC) is characterized by recurrent or persistent fungal infections of the skin, nails, and oral and genital mucosae. There are several underlying genetic causes for CMCC, with mutations in Signal Transducer and Activator of Transcription-1 (STAT1) accounting for the majority of cases. Aim: To broaden the genotypic spectrum of CMCC caused by STAT1 mutations. Methods: We evaluated a young patient and her family with CMCC. Immune workup and targeted gene sequencing were performed. Results: The proband presented at 7 years of age with persistent oral thrush. Immune evaluation revealed her cellular and humoral immunity to be within normal range. Given that her family history was significant for oral lesions in father, siblings, and paternal family members, STAT1 gene sequencing was performed. A novel heterozygous missense c.G799A, predicting a p. Ala267Thr amino acid change within the coiled-coil domain, was identified in our patient and 3 of her family members. Conclusion: Gain-of-function mutations in STAT1 have been associated with a variety of phenotypes, ranging from isolated CMCC to severe fatal combined immunodeficiency, mycobacterial infections, autoimmune disorders, as well as malignancy and aneurysms. Here, we describe a novel STAT1 mutation, c.G799A, resulting in a very mild phenotype of isolated CMCC in 4 members of one kindred. Statement of novelty: We describe 4 patients with a mild phenotype of CMCC caused by a novel STAT1 heterozygous mutation.
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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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| 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".