Clinical relevant Bruton’s X-linked tyrosine kinase deficiency in a female with extreme X-chromosome inactivation
Bibliographic record
Abstract
BACKGROUND: X-linked agammaglobulinemia (XLA) is an inborn error of immunity resulting from mutations in the BTK gene. It is an X-linked inherited disease that almost exclusively affects males, while females are usually carriers of the disease. However, certain genetic conditions can lead to XLA disease expression in females. We report a 14-year-old girl who was diagnosed with XLA from a pathogenic BTK variant and skewed X chromosome inactivation (XCI). CASE PRESENTATION: A 14-year-old female Ukrainian refugee was referred to the respirology clinic at the Montreal Children's Hospital with an abnormal chest radiograph found during her immigration medical screening process in Canada. She was reported to be previously well until the age of 11 years when she was diagnosed with pneumonia following SARS-CoV-2 infection. She subsequently developed recurrent pneumonias, persistent productive cough, and chronic sinusitis with polyposis. Laboratory investigations showed severely reduced serum immunoglobulin G, A, and M concentrations of 0.78 g/L, < 0.10 g/L, and 0.21 g/L, respectively. Flow cytometry for lymphocyte subsets showed a complete absence of circulating B cells in peripheral blood. Next-generation sequencing panel for inborn errors or immunity revealed a heterozygous pathogenic variant in BTK (c.862C > T, p.Arg288Trp). Analysis of XCI revealed markedly skewed inactivation (99:1), resulting in predominant expression of the mutant pathogenic BTK allele. These findings support the clinical diagnosis of X-linked agammaglobulinemia manifesting in a female patient due to skewed XCI. CONCLUSIONS: Female carriers of pathogenic mutations in BTK may develop clinically important disease as a result of extreme random X inactivation.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".