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Record W7117324008 · doi:10.1016/j.jaci.2025.12.991

B-cell lymphocytosis and reprogramming due to biallelic CARD11 mutations

2025· article· en· W7117324008 on OpenAlexaff
Sagar Bhattad, Hwi Min Gil, Allison Ruchinskas, Jeffrey R. Stinson, Aidé Tamara Staines Boone, Rachna Shanbhag Mohite, Jyothi Janardhanan, Neha Singh, Christine Mariskanish, Joseph Choi, Shamel Basaria, Xiang Y. Ye, Andrew L Snow, Janet Markle

Bibliographic record

VenueJournal of Allergy and Clinical Immunology · 2025
Typearticle
Languageen
FieldImmunology and Microbiology
TopicImmunodeficiency and Autoimmune Disorders
Canadian institutionsASTER
FundersNational Institute of Allergy and Infectious DiseasesNational Institutes of HealthNational Institute of General Medical SciencesU.S. Department of Defense
KeywordsGermlineSomatic cellReprogrammingMutationGermline mutationFunction (biology)

Abstract

fetched live from OpenAlex

BACKGROUND: Adaptive immune responses are tightly controlled by proteins including CARD11 that regulate signaling events downstream of the T- and B-cell receptors. Germline mutations in CARD11 cause several distinct monogenic inborn errors of immunity with early childhood onset and potentially fatal prognoses. Somatic CARD11 gain-of-function mutations are associated with B-cell malignancies. Precisely how various CARD11 mutations culminate in unique clinical entities, and the mechanisms of CARD11-driven B-cell proliferation, is not fully understood. OBJECTIVE: We sought to identify the genetic basis of disease and characterize immune-cell phenotypes and functions in a patient with apparent BENTA (B-cell expansion with nuclear factor-κB [NF-κB] and T-cell anergy) disease and a history of sibling death in early childhood. METHODS: We used whole-exome sequencing, flow and mass cytometry, whole blood mRNA analyses, in vitro T-cell proliferation and B-cell differentiation assays, and single-cell RNA sequencing of patient-derived samples to identify the genetic basis of disease and define its molecular and cellular mechanisms. We also ectopically expressed wild-type and mutant forms of CARD11 in T and B cells and assessed their functional impacts on NF-κB-dependent responses. RESULTS: We report a surprising new genetic basis of BENTA caused by homozygosity for the novel CARD11 mutation R331P and characterized by massive expansion of B cells with a naive surface phenotype and aberrant transcriptional program. This autosomal-recessive form of BENTA features exaggerated B-cell lymphocytosis relative to monoallelic BENTA. Furthermore, we have identified patterns of gene expression that distinguish B cells of patients with the autosomal-recessive form of BENTA from those of healthy controls and from monoallelic BENTA. We found that ectopic CARD11 R331P expression induced constitutive NF-κB activity in T and B cells. These data suggest that R331P is a gain-of-function mutation and causes BENTA in homozygosity. CONCLUSIONS: These results define a novel autosomal-recessive form of BENTA disease. Additional analysis of mutation-driven changes in B-cell function may shed light on the mechanisms of B lymphomagenesis in patients with germline or somatic CARD11 variants.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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.

Opus teacher head0.014
GPT teacher head0.294
Teacher spread0.281 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2025
Admission routes1
Has abstractno

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