Novel heterozygous mutation in <i>NFKB2</i> in a patient with predominantly antibody deficiency
Bibliographic record
Abstract
Background: The Nuclear Factor-kappa B (NF-kB) signaling pathway plays a critical role in regulating a wide range of cellular processes such as immune function, inflammation, and tumor regulation. There are two major pathways that play a role in NF-kB activation: the canonical NF-kB1 pathway and the non-canonical NF-kB2 pathway. Abnormalities in non-canonical NF-κB2 signaling are linked with significant impairments in the immune system, mainly B cell maturation, antibody production, as well as T helper and regulatory T cell function through its effect on germinal center regulation. Methods: Our patient’s medical record was analyzed retrospectively, including her medical history, results from immune laboratory tests, and genetic analyses. Results: We present a 16-year-old female with a history of chronic cough complicated with episodes of hemoptysis and diagnosed with bronchiectasis secondary to common variable immunodeficiency. Whole exome sequencing analysis revealed a novel heterozygous variant in the NFKB2 gene (NM_001077494.3), c.931C>T resulting in p.Arg311Cys. Conclusion: The presence of NFKB2 mutations can lead to the development of early-onset common variable immunodeficiency. Statement of Novelty: We have identified a novel variant in the NFKB2 gene associated with antibody deficiency.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| 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".