Aberrant IgM Signaling Promotes Survival of Transitional T1 B Cells and Prevents Tolerance Induction in Lupus-Prone New Zealand Black Mice
Bibliographic record
Abstract
New Zealand Black (NZB) mice develop a lupus-like syndrome. Although the precise immune defects leading to autoantibody production in these mice have not been characterized, they possess a number of immunologic abnormalities suggesting that B cell tolerance may be defective. In the bone marrow, immature self-reactive B cells that have failed to edit their receptors undergo apoptosis as a consequence of Ig receptor engagement. Splenic transitional T1 B cells are recent bone marrow emigrants that retain these signaling properties, ensuring that B cells recognizing self-Ags expressed only in the periphery are deleted from the naive B cell repertoire. In this study we report that this mechanism of tolerance is defective in NZB mice. We show that NZB T1 B cells are resistant to apoptosis after IgM cross-linking in vitro. Although extensive IgM cross-linking usually leads to deletion of T1 B cells, in NZB T1 B cells we found that it prevents mitochondrial membrane damage, inhibits activation of caspase-3, and promotes cell survival. Increased survival of NZB T1 B cells was associated with aberrant up-regulation of Bcl-2 after Ig receptor engagement. We also show that there is a markedly increased proportion of NZB T1 B cells that express elevated levels of Bcl-2 in vivo and provide evidence that up-regulation of Bcl-2 follows encounter with self-Ag in vivo. Thus, we propose that aberrant cell signaling in NZB T1 B cells leads to the survival of autoreactive B cells, which predisposes NZB mice to the development of autoimmunity.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".