SARS-CoV-2 E protein-induced THP-1 pyroptosis is reversed by Ruscogenin
Bibliographic record
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), an emerging pathogenic coronavirus, has been reported to cause excessive inflammation and dysfunction in multiple cells and organs, but the underlying mechanisms remain largely unknown. Here we showed exogenous addition of SARS-CoV-2 envelop protein (E protein) potently induced cell death in cultured cell lines, including THP-1 monocytic leukemia cells, endothelial cells, and bronchial epithelial cells, in a time- and concentration-dependent manner. SARS-CoV-2 E protein caused pyroptosis-like cell death in THP-1 and led to GSDMD cleavage. In addition, SARS-CoV-2 E protein upregulated the expression of multiple pro-inflammatory cytokines that may be attributed to activation of NF-κB, JNK and p38 signal pathways. Notably, we identified a natural compound, Ruscogenin, effectively reversed E protein-induced THP-1 death via inhibition of NLRP3 activation and GSDMD cleavage. In conclusion, these findings suggested that Ruscogenin may have beneficial effects on preventing SARS-CoV-2 E protein-induced cell death and might be a promising treatment for the complications of COVID-19.
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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 | 0.000 |
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".