The VLDLR entry receptor is required for the pathogenesis of multiple encephalitic alphaviruses
Bibliographic record
Abstract
The very-low-density lipoprotein receptor (VLDLR) has been reported as an entry receptor for Semliki Forest (SFV) and Eastern equine encephalitis (EEEV) alphaviruses in cell cultures. However, the role of VLDLR in alphavirus pathogenesis and the extent to which other alphaviruses can engage VLDLR remains unclear. Here, using a surface protein-targeted CRISPR-Cas9 screen, we identify VLDLR as a receptor for Western equine encephalitis virus (WEEV) and demonstrate that it promotes the infection of multiple viruses in the WEE antigenic complex. In vivo studies show that the pathogenicity of WEEV, EEEV, and SFV, but not the distantly related Venezuelan equine encephalitis virus, is markedly diminished in VLDLR-deficient mice and that mice treated with a soluble VLDLR-Fc decoy molecule are protected against disease. Overall, these results expand our understanding of the role of VLDLR in alphavirus pathogenesis and provide a potential path for developing countermeasures against alphaviruses from different antigenic complexes.
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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".