Chloroquine Up-regulates Expression of SARS-CoV-2 receptor Angiotensin Converting Enzyme-2 in Endothelial Cells
Bibliographic record
Abstract
Background and Purpose: The novel severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) posed a serious threat to global public health. Hydroxychloroquine (HCQ), which is a derivative of Chloroquine (CQ), was a WHO-recommended drug to treat COVID-19 with mixed effects. The purpose of the present study is to evaluate the plausible mechanisms of HCQ actions behind its observed mixed effect. Key Results: We demonstrate that CQ-treatment significantly up-regulates mesenchymal markers and SARS-CoV-2 receptor ACE2 in cultured endothelial cells. Conclusions & Implications: The detrimental effect of HCQ in seriously ill COVID-19 patients might be due to CQ-induced increased expression of endothelial ACE2 exacerbating the severity of SARS-CoV-2 infection. Our study warrants further investigation in animal models and humans and caution while prescribing HCQ to patients with an impaired renin-angiotensin-aldosterone system, such as in hypertension, cardiovascular diseases, or chronic kidney disease; particularly with ACE-inhibitors or statin therapy.
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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) | 0.002 | 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".