Valproic Acid in Prevention and Treatment of COVID-19
Bibliographic record
Abstract
The novel coronavirus severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) has posed a serious threat to global public health. Respiratory failure followed by cardiovascular complications with wide-spread endothelial dysfunction and inflammation is rapidly emerging as a key threat in COVID-19. ACE-2 receptors are the cell-entry gate for SARS-CoV-2. Valproic Acid (VPA) is a proposed potential drug to treat COVID-19 but its mechanism of action is not well understood. We demonstrate that VPA-treatment significantly reduced ACE-2 expression in endothelial cells. VPA-treatment significantly reduced the expression of inflammatory cytokines IL-6 along with the endothelial activation marker ICAM-1. We provide evidence and discuss the plausible mechanism in detail for VPA use to prevent and treat COVID-19 in a personalized manner. Our study is expected to entice the scientific and clinical society to investigate VPA as a potential therapeutic option against 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 | 0.001 |
| 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".