Immune mechanisms leading to abnormal B cell selection and activation in New Zealand Black mice
Bibliographic record
Abstract
Polyclonal B cell activation is a hallmark of the immune dysregulation in New Zealand Black (NZB) mice. We have previously shown that the splenic B cell activation is associated with increased CD80 expression. Here we show that abnormal expansions of CD80-expressing GC, CD5(+), marginal zone (MZ) precursor and MZ B cells produce this increase. To investigate the role of BCR engagement in the generation and activation of these populations, a non-self-reactive Ig Tg was introduced onto the NZB background. NZB Ig-Tg mice lacked Tg CD5(+) and peanut agglutinin(+) B cells, confirming the role of endogenous Ag in their selection. Although the increased proportion of MZ B cells was retained in NZB Ig-Tg mice, CD80 expression on these cells was reduced as compared to non-Tg NZB mice, suggesting a role for BCR engagement with endogenous Ag in their activation. Examination of CD40L-knockout NZB mice showed no difference in the abnormal activation or selection of the B cell populations, with the exception of GC cells, as compared to wild-type NZB mice. Thus, polyclonal B cell activation in NZB mice does not require CD40 engagement, but results, in part, from dysregulated BCR-specific mechanisms.
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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 | 0.002 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".