Functional Significance of the C324R Mutation Examined Using a Structural Biological Approach
Bibliographic record
Abstract
To the Editor: We read with interest in The Journal of Rheumatology the letter from Maeshima, et al , “An Adult Fatal Case with a STAT1 Gain-of-function Mutation Associated with Multiple Autoimmune Diseases”1. The authors presented the case of a 25-year-old Japanese woman, who was diagnosed at 8 years of age with autoimmune hypothyroidism, and accidentally at 21 years with Takayasu arteritis (TA). By using DNA sequencing, they identified a signal transducer and activator of transcription 1 ( STAT1 ) gain-of-function (GOF) c.970T>C (p.C324R) mutation, in the DNA binding domain of STAT1 protein. STAT1 is one of the 7-member mammalian STAT family and latent DNA-binding protein mediating transmission from various signals to specific gene expression2. Although hypothyroidism, inflammatory bowel disease, and thrombocytopenia are common autoimmune features of STAT1 GOF mutations3, TA represents a previously unreported phenotype of STAT1 GOF mutations1. Prompted by this unique finding, and considering that … Address correspondence to G. Goulielmos, Section of Molecular Pathology and Human Genetics, Department of Internal Medicine, School of Medicine, University of Crete, Heraklion, Greece. E-mail: goulielmos{at}med.uoc.gr
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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 | 0.001 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.012 | 0.008 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".