Invariant natural killer T cells recognize and restrict the transformation of B cells by Epstein-Barr virus (P4363)
Bibliographic record
Abstract
Abstract Individuals with X-linked lymphoproliferative disease (XLP) lack invariant natural killer T (iNKT) cells and are uniquely susceptible to Epstein-Barr virus (EBV). To determine whether iNKT cells recognize or regulate EBV replication, human B cells were infected with GFP+ EBV 95.8 in the presence or absence of iNKT cells. We observed that iNKT cells significantly reduced early EBV titres and GFP+ B cell expansion but that within 72 hours of infection, B cells transformed into lymphoblastoid cell lines (LCL) by EBV had downregulated the iNKT antigen receptor CD1d, completely abrogating iNKT recognition of the lipid agonist α-galactosylceramide (αGalCer). To determine whether ectopic CD1d expression could restore iNKT recognition, LCL were treated with a synthetic retinoic acid receptor-α agonist AM580 known to modulate CD1d expression by regulating the nuclear protein lymphoid enhancer-binding factor-1 (LEF-1). AM580 treatment significantly reduced LEF-1 at the CD1d promoter, induced surface CD1d expression and enabled iNKT recognition of LCL loaded with αGalCer. Unexpectedly, AM580-treated LCL also activated iNKT function even in the absence of αGalCer suggesting that EBV infection and transformation triggers endogenous iNKT antigen expression. These observations indicate that iNKT cells may be important for the early recognition and control of EBV-infected B cells prior to CD1d downregulation and the loss of CD1d may allow EBV to circumvent iNKT-mediated immunosurveillance.
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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 | 0.000 |
| 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".