CD8aa dimer is a receptor for Nipah virus on porcine lymphocytes
Bibliographic record
Abstract
Nipah virus (NiV) and Hendra Virus (HeV) (Paramyxoviridae; Henipavirus) cause severe often fatal illness in humans, but can also infect swine. The presented work compared permissibility of porcine peripheral blood mononuclear cells to NiV and to HeV. While majority of cell populations did not support replication of either HeV or NiV, monocytes were permissive to both viruses. CD8+ subpopulations of T and NK cells were permissive only to NiV, even though they did not express ephrin B2 (receptor for HeV and NiV) on the surface. CHO-K1 cells transfected with porcine CD8α became permissive to NiV. Antibody against CD8α was able to block NiV replication in CD8+ cells; competition assays between HeV or NiV soluble virus attachment protein (sG) suggested that NiV can bind to CD8αα expressing porcine cells while HeV cannot. CD8αβ cells were not permissive to NiV or HeV. The results indicate that porcine CD8α dimer is a receptor for Nipah virus, but not for HeV on porcine lymphocytes. This work has implications in vaccine design. Development of a veterinary vaccine against NiV which elicits cell mediated immune respose is needed.
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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) | 0.005 | 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".