Human herpesvirus 6B immediate‐early I protein contains functional HLA‐A*02, HLA‐A*03, and HLA‐B*07 class I restricted CD8<sup>+</sup> T‐cell epitopes
Bibliographic record
Abstract
Human herpesvirus 6B (HHV-6B) is a ubiquitous pathogen with frequent reactivation observed in immunocompromised patients such as BM transplant (BMT) recipients. Adoptive immunotherapy is a promising therapeutic avenue for the treatment of opportunistic infections, including herpesviruses. While T-cell immunotherapy can successfully control CMV and EBV reactivations in BMT recipients, such therapy is not available for HHV-6 infections, in part due to a lack of identified protective CD8(+) T-cell epitopes. Our goal was to identify CD8(+) T-cell viral epitopes derived from the HHV-6B immediate-early protein I and presented by common human leukocyte Ag (HLA) class I alleles including HLA-A*02, HLA-A*03, and HLA-B*07. These epitopes were functionally tested for their ability to induce CD8(+) T-cell expansion and kill HHV-6-infected autologous cells. Cross-reactivity of specific HHV-6B-expanded T cells against HHV-6A-infected cells was also confirmed for a conserved epitope presented by HLA-A*02 molecule. Our findings will help push forward the field of adoptive immunotherapy for the treatment and/or the prevention of HHV-6 reactivation in BMT recipients.
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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) | 0.001 | 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".