CD271 restrains the B1b cell antibody response in a T cell dependent manner
Bibliographic record
Abstract
Abstract Co-signaling molecules modulate T cell function and are essential to control the duration and amplitude of immune responses. These molecules belong to the immunoglobulin and tumor necrosis factor receptor (TNFR) superfamilies and have been extensively studied; however, the immunomodulatory role of several family members remains unknown. We show that CD271 (also known as p75 or NGFR), a TNFR superfamily member, is highly expressed on peritoneal B1 B cells, but not on conventional (B2) B cells at steady state. CD271 expression by B cells specifically restrains the response to T cell-independent type 2 antigens (TI-2). B1 cell-expressed CD271 maintains peritoneal CD4 + T cell quiescence, and augmented antibody responses to TI-2 antigens in CD271-deficient mice are dependent on CD4 + T cells. This increase in antibody production correlates with improved bacterial neutralization in vitro and survival after bacterial challenge in vivo . Further, our results suggest that CD271 can directly inhibit mouse and human T cell activity to the same extent as PD-L1, a known, negative regulator of T cell function. These results establish CD271 as a co-inhibitory molecule that could be targeted to improve the efficacy of vaccines against pathogenic encapsulated bacteria and to broadly modulate the T cell response in therapeutic contexts. eTOC summary Lebel et al. identify an unexpected role for CD271, a neurotrophin receptor, in directly inhibiting T cell function. B1 cell-expressed CD271 maintains CD4 + T cell quiescence; in the absence of CD271, T cells bolster antibody production to T-independent antigens, enhancing the response to encapsulated bacteria.
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) | 0.000 | 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 | 0.000 |
| 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".