Recombinase Activating Gene 1 Deficiencies Without Omenn Syndrome May Also Present With Eosinophilia and Bone Marrow Fibrosis
Bibliographic record
Abstract
BACKGROUND: Severe combined immunodeficiency (SCID) syndromes are a heterogenous group of diseases characterized by impairment in both cellular and humoral immunity with a range of genetic disorders. Complete recombinase activating gene (RAG) deficiency is associated with classical T(-)B(-)NK(+) SCID which is the most common phenotype of Turkish SCID patients. There is a broad spectrum of hypomorfic RAG mutations including Omenn syndrome, leaky or atypical SCID with expansion of γδ T cells, autoimmunity and cytomegalovirus (CMV) infections. METHODS: Twenty-one (44%) patients had RAG1 deficiency of all 44 SCID patients followed up by pediatric immunology department. A retrospective analysis was conducted on the medical records of all SCID patients with RAG1 deficiency. RESULTS: Eight patients were classified as T(-)B(-)NK(+) SCID, five patients as T(+)B(-)NK(+) SCID (three of these were Omenn phenotype), and eight patients as T(+)B(+)NK(+) SCID phenotype. Mean age of the whole study group, mean age at onset of symptoms and mean age at diagnosis were 87.7 ± 73.8 (12 - 256), 4.4 ± 8.2 (1 - 36) and 29.1 ± 56.8 (1 - 244) months, respectively. Consanguinity was present in 11 (52%) of 21 patients. Autoimmunity was found in six patients (28%). Ten patients (47%) had CMV infection, four (19%) had Epstein-Barr virus (EBV) infections and three (14%) had Bacillus Calmette-Guerin (BCG) infections. Seven patients who had refractory cytopenia (two pancytopenia and five bicytopenia) underwent bone marrow biopsy, three of whom had bone marrow fibrosis. Future evaluations must be considered about bone marrow fibrosis in RAG1 deficiency patients. Eosinophilia was observed in 10 patients, seven of whom did not have Omenn phenotype. CONCLUSION: Non-Omenn phenotype RAG1 deficiencies can also present with eosinophilia. This report is presented to emphasize that RAG1 mutations may lead to diverse clinical phenotypes.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".