B lymphocytes acquire myeloid and autoimmune phenotypes via the downregulation of lymphocyte-specific protein-1
Bibliographic record
Abstract
Abstract Actin-binding proteins (ABPs) have been established as important mediators of immune homeostasis, but their effects on lymphocytes are poorly understood. Here, we demonstrated that LSP1, an ABP, is a master regulator for innate immune responses in B lymphocytes. Lsp1 deficiency in B cells upregulated the expression of myeloid genes, including CD11b, CD11c, and myeloperoxidase, and bestowed myeloid morphology. Strikingly, Lsp1 -deficient B cells exhibited dual functions, namely, strong phagocytic activity and high antibody (Ab) production, like ‘chimera’. The PKCβ-CEBPβ pathway was found to be required for such functional chimerism. Moreover, Lsp1 deficiency induced the myeloid B cell phenotype and autoantibody production in B cells and consequently accelerated the progression of experimental lupus in mice. These changes were abrogated by retinoic acid, which upregulated LSP1 expression. In lupus patients, LSP1 expression in B cells was downregulated and inversely correlated with myeloperoxidase (MPO) expression. Overall, this study reveals a new role of the ABP LSP1 in B lymphocytes and emphasizes its critical involvement in promoting autoimmune responses, particularly by generating functionally chimeric B cells.
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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 | 0.000 | 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) | 0.002 | 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".