Human SLAM-adapted canine distemper virus can enter human peripheral blood mononuclear cells and replicate in mice expressing human SLAM and defective for STAT1 expression
Bibliographic record
Abstract
Canine distemper virus (CDV) is a member of the genus Morbillivirus with a worldwide distribution that causes fatal diseases in canids and marine mammals. In recent years, CDV has demonstrated the remarkable ability of pathogens to cross species barriers. The natural host range of CDV has expanded from Canidae to Primates, presumably attributed to ecological shifts and the emergence of viral variants. Therefore, it is important to investigate whether CDV can infect humans by adapting to the human signalling lymphocyte activation molecule (hSLAM) receptor to cross the species barrier. Through successive passaging and plaque cloning of a CDV wild-type strain (5804PeH) in Vero cells expressing hSLAM (Vero-hSLAM), we obtained an hSLAM adaptive strain, 5804PeH-VhS. The adapted CDV strain exhibited a D540G mutation within the receptor-binding domain (RBD) of the haemagglutinin (H) protein. The HD540G mutation has enhanced cell-cell fusion activity in Vero-hSLAM cells. This adaptation allowed the CDV strain to infect human peripheral blood mononuclear cells (PBMCs), particularly T lymphocytes and inhibited lymphocyte proliferation. Additionally, this strain could replicate in the lymphoid tissues of transgenic mice that express the hSLAM receptor, causing viraemia. However, the adapted strain did not spread to the epithelial cells or the central nervous system of the mice. While this adaptation indicates a potential risk, there is no definitive evidence that the virus can spread among humans.
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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 | 0.001 | 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".