RelB deficiency causes combined immunodeficiency
Bibliographic record
Abstract
Background: Combined immunodeficiency (CID) presents in infancy with severe microbial infections due to either the depletion or dysfunction of lymphocytes. Several mutated genes have been implicated in causing this condition. These encoded proteins are involved in gene recombination, signal transduction from receptors to transcription factors, or they are critical for lymphocyte development. There remain 20%–30% of patients with similar phenotypes but with no known genetic aberration. The objective of this study was to define the molecular basis of CID in a group of patients. Genotyping was performed using linkage panel chips, and the results were analyzed for parametric linkage. Whole genome sequencing was also performed. In vitro mitogen stimulation, flow cytometry, real time PCR, Western blotting, and cytokine ELISA were used to assess immunological status and signal transduction pathways. We identified a homozygous mutation in the gene for the NFκB transcription factor RelB in 3 patients who suffered repeated infection despite the presence of circulating T and B cells. This mutation introduces a premature stop, resulting in an ablation of RelB expression. Evaluation of patient immune systems revealed reduced response to mitogens and an inability to maintain an adequate antibody response to immunizations. Lack of RelB expression results in a clinical presentation of CID. Statement of novelty: We describe RelB deficiency for the first time.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.001 |
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".