S-18-4: ACE2 IS INVOLVED IN SARS-COV-2 INDUCED ENDOTHELIAL CELL INFLAMMATION INDEPENDENT OF VIRAL REPLICATION
Bibliographic record
Abstract
Objective: COVID-19 association with cardiovascular disease is thought to be due to endothelial cell inflammation. ACE2 interactions with SARS-CoV-2 spike protein S1 subunit is important to viral infection. Here we questioned whether SARS-CoV-2 induces vascular inflammation via ACE2 and whether this is related to viral infection. Design and Methods: Human microvascular endothelial cells (EC) were exposed to recombinant S1p (rS1p) 0.66 ug/mL for 10 min, 5 h and 24 h. Gene expression was assessed by RT-PCR and levels of IL6 and MCP1, as well as ACE2 activity, were assessed by ELISA. Expression of ICAM1 and PAI1 was assessed by immunoblotting. ACE2 activity was blocked by MLN4760 (ACE2 inhibitor) and siRNA. Viral infection was assessed by exposing Vero E6 (kidney epithelial cells; pos ctl) and EC to 105 pfu of SARS-CoV-2 where virus titre was measured by plaque assay. Results: rS1p increased IL6 mRNA (14.2 ± 2.1 vs. C:0.61 ± 0.03 2^-ddCT) and levels (1221.2 ± 18.3 vs. C:22.77 ± 3.2 pg/mL); MCP1 mRNA (5.55 ± 0.62 vs. C:0.65 ± 0.04 2^-ddCT) and levels (1110 ± 13.33 vs. C:876.9 ± 33.4 pg/mL); ICAM1 (17.7 ± 3.1 vs. C:3.9 ± 0.4 AU) and PAI1 (5.6 ± 0.7 vs. C: 2.9 ± 0.2), p < 0.05. MLN4760, but not rS1p, decreased ACE2 activity (367.4 ± 18 vs. C: 1011 ± 268 RFU, p < 0.05) and blocked rS1p effects on ICAM1 and PAI1. ACE2 siRNA blocked rS1p-induced IL6 release, ICAM1, and PAI1 responses as well as rS1p-induced NFkB activation. EC were not susceptible to SARS-CoV-2 infection, while the virus replicated well in Vero E6. Conclusion: rS1p induces an inflammatory response through ACE2 in endothelial cells; an effect that was independent of viral infection.
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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 | 0.001 |
| 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 | 0.001 |
| 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".