Receptor interacting protein kinase 1 (RIPK1) pathways regulate innate B cell developmental checkpoints and delay effector function
Bibliographic record
Abstract
Abstract Mutations in RIP kinases underlie the recently described human autoimmune syndrome, CRIA, characterized by lymphadenopathy, splenomegaly, and autoantibody production. While disease mechanisms for CRIA remain undescribed, RIP kinases work together with Caspase-8 to regulate cell death, which is critical for normal differentiation of many cell types. Here, we describe a key role for RIPK1 in facilitating innate B cell differentiation and subsequent activation. By comparing RIPK1, RIPK3, and Caspase8 triple deficient and RIPK3, Caspase 8 double deficient mice, we identified selective contributions of RIPK1 to an accumulation of murine splenic Marginal Zone (MZ) B cells and B1-b cells. We used mixed bone-marrow chimeras to determine that innate B cell commitment required B cell-intrinsic RIPK1, RIPK3, and Casp8 sufficiency. RIPK1 regulated MZ B cell differentiation rather than development and RIPK1 mediates its innate immune effects independent of the RIPK1 kinase domain. NP-KLH/alum and NP-Ficoll vaccination of RIPK3, Casp8, and RIPK1 triple deficient mice revealed uniquely delayed T-dependent and T-independent IgG responses, abnormal splenic germinal center architecture, and reduced extrafollicular plasmablast formation compared to double deficient and WT mice. RIPK1 deficiency was beneficial for survival following lethal, systemic Streptococcus pneumoniae infection, confirming the functionality of innate B cell populations which increased in the absence of RIPK1. Thus, RIPK1 orchestrates B cell fate, and delayed effector function, through a B cell-intrinsic mechanism.
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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 | 0.001 |
| 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".