Autoreactive B Cells in Lupus-Prone New Zealand Black Mice Exhibit Aberrant Survival and Proliferation in the Presence of Self-Antigen In Vivo
Bibliographic record
Abstract
To identify defects in B cell tolerance that may contribute to the production of autoantibodies in New Zealand Black (NZB) mice, we crossed soluble hen egg white lysozyme (sHEL) and anti-HEL Ig transgenes (Ig Tg) onto the NZB background. In this study, we have examined one of the first checkpoints involved in maintenance of peripheral B cell tolerance, follicular exclusion and elimination of self-reactive B cells in the absence of T cell help. Freshly isolated anti-HEL Ig Tg B cells were labeled with CFSE, adoptively transferred into sHEL recipients, and the fate of self-reactive anti-HEL Ig Tg B cells was followed using flow cytometry and immunofluorescence microscopy. Although anti-HEL Ig Tg B cells from NZB mice are appropriately excluded from B cell follicles in NZB sHEL recipient mice, they demonstrate aberrant survival, proliferation, and generation of anti-HEL Ab-producing cells. This abnormal response results from an intrinsic defect in NZB B cells, requires the presence of CD4(+) T cells, and is facilitated by the splenic environment in NZB mice. Thus, NZB mice have immune defects that interact synergistically to allow autoreactive B cells to become activated despite the presence of tolerizing autoantigens.
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 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".