Early innate immune response and evolution of a SARS-CoV-2 furin cleavage site inactive variant in bat cells
Bibliographic record
Abstract
SARS-CoV-2 has caused the largest known coronavirus pandemic and is believed to have emerged from insectivorous bats. Little is known about the evolution of these viruses in their reservoir bat species. In this study, we investigate the SARS-CoV-2-host interaction using human and bat cells. Bat cells mount a robust and early antiviral response but elicit a dampened proinflammatory response upon SARS-CoV-2 infection compared to human cells. Furthermore, an inactivating R685P mutation within the furin cleavage site (FCS) of the SARS-CoV-2 spike protein is naturally selected for in infected bat cells. Taken together, our data demonstrate that insectivorous Eptesicus fuscus bat cells have evolved a differential antiviral immune response against SARS-CoV-2 infection, likely contributing to their disease tolerance ability. Our study sheds light on the evolution of sarbecoviruses in bats and extends molecular evidence to data from field studies that have demonstrated that SARS-CoV-2-related viruses in wild-caught bats lack an intact FCS.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
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".