Hematopoietic stem cell transplantations for primary immune deficiencies associated with NFκB mutations: A review of the literature
Why this work is in the frame
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Bibliographic record
Abstract
The nuclear factor kappa-light-chain-enhancer of activated B-cells (NFκB) family of transcription factors plays an instrumental role in human immunity and lymphoid organ development. Inherited defects affecting these factors or their regulation are associated with increased susceptibility to infections, as well as non-immune abnormalities. Hematopoietic stem cell transplantations (HSCT) have been shown to correct the immune abnormalities in a few patients with NFκB pathway defects. Here we review the pre-HSCT characteristics, as well as the HSCT and outcome of 35 patients who received HSCT for NFκB defects. Twenty-three patients (65.7%) were reported to have survived HSCT. Survival was higher among patients with X-linked ectodermal dysplasia and immunodeficiency (XL-EDA-ID), and those with CARD11-BCL10-MALT1 (CBM) complex defects, in comparison to patients with autosomal dominant ectodermal dysplasia and immunodeficiency (AD-EDA-ID) and IKBKB defects. Survival following myeloablative conditioning was similar to that after reduced intensity conditioning, although donor cells engraftment and immune reconstitution after HSCT was not complete in some patients. The effects of HSCT on organ dysfunction associated with NFκB defects, such as liver toxicity or bowel inflammation, are still not clear. Earlier identification and transplantation of affected patients, as well as better understanding of the pathogenesis and complications of the different NFκB mutations, might improve outcome of HSCT for specific patient populations.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it