CD21 primes extrafollicular differentiation of autoreactive B cells in a TLR7-driven lupus model
Bibliographic record
Abstract
The extrafollicular (EF) B cell differentiation pathway has emerged as a prominent source of autoantibody-secreting cells (ASCs) in systemic lupus erythematosus (SLE). CD21 lo CD11c + B cells are associated with aging, infection, and autoimmunity. They are key contributors to EF ASCs, yet their developmental trajectory and receptor programming are unclear. To study EF mechanics of autoreactive B cells, we adoptively transferred naïve B cell populations into 564Igi mice, which act as an autoreactive host enriched for autoantigens and T cell help. Time-resolved analyses revealed a Toll-like receptor 7 (TLR7)–dependent early escape of peripheral tolerance and a pre–ASC division program. We identified naïve-derived CD21 lo cells as precursors of EF ASCs exhibiting elevated reliance on TLR7. Repertoire analysis delineated protoautoreactive B cell selection and receptor evolution toward self-reactivity. Continuous complement receptor 2 (CR2/CD21)–complement C3d and CD21–complement iC3b engagement triggered receptor down-regulation before proliferation. We reveal CD21 as an initiator of TLR7-dependent autoimmune EF proliferation and target for suppressing autoreactivity.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".