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Resveratrol, a widely available nutritional supplement, inhibits COVID-19 in cell cultures.

This is not surprising as the roots of japanese knotweed, which are a potent source of resveratrol, is one of the traditional medicines most used to treat COVID-19 in China. This blog has been suggesting it as a possible therapy for quite some time. Its profile of activity makes it a natural match for COVID-19. What this means is that its likely safe to use to prevent COVID-19 associated brain injury and coagulopathy.

Resveratrol And Pterostilbene Potently Inhibit SARS-CoV-2 Infection In Vitro

The current COVID-19 pandemic is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and has an enormous impact on human health and economy1. In search for therapeutic options, researchers have proposed resveratrol, a food supplement with known antiviral, anti-inflammatory and anti-oxidant properties as an advantageous antiviral therapy for SARS-CoV-2 infection2–4. Here, we provide evidence that both resveratrol and its metabolically more stable structural analog, pterostilbene, exhibits potent antiviral properties against SARS-CoV-2 in vitro. Resveratrol and pterostilbene showed antiviral activity in African green monkey kidney cells and in human primary bronchial epithelial cells cultured in an air-liquid interface system. Mechanistic analyses demonstrated that both compounds actively interfere with the post-entry steps of virus replication cycle and their antiviral activity is long-lasting. Collectively, our data indicate that resveratrol and pterostilbene are promising antiviral compounds to treat SARS-CoV-2 infection and advocate evaluation of these compounds in clinical trials

Potential therapeutic effects of Resveratrol against SARS-CoV-2 (COVID-19)

"This report aims to highlight Resveratrol as possible therapeutic candidate in SARS-CoV-2 infection. The antiviral efficacy of Resveratrol was demonstrated for several viruses, including coronavirus. Resveratrol was shown to mitigate the major pathways involved in the pathogenesis of SARS-CoV-2, including regulation of the renin-angiotensin system (RAS) and expression of angiotensin-converting enzyme 2 (ACE2), stimulation of immune system and downregulation of pro-inflammatory cytokines release. It was also reported to promote SIRT1 and p53 signaling pathways and increase cytotoxic T lymphocytes (CTLs) and natural killer (NK) immune cells. In addition, Resveratrol was demonstrated to be a stimulator of fetal hemoglobin and a potent antioxidant, by trapping reactive oxygen species (ROS). According to these reports, Resveratrol could be proposed as potential therapeutics in the treatment of SARS-CoV-2. " Keywords: SARS-CoV-2; Resveratrol; antiviral activity; immune response; ACE2; oxidative stress; HbF. -- Acta Virol . 2020 Sep 28. doi: 10.4149/av_2020_309. Online ahead of print.

Resveratrol was predicted to have possible activity against COVID-19 by a cutting edge medical informatics program looking for substances active against coronavirus induced heart damage.

Exploration of omics mechanism and drug prediction of coronavirus-induced heart failure based on clinical bioinformatics. --------------------- Journal: Zhonghua Xin Xue Guan Bing Za Zhi. -------------------- 2020 Mar 31;48(0):E013. ----------------- doi: 10.3760/cma.j.cn112148-20200308-00172. [Epub ahead of print] ------------------------------------------- [Article in Chinese; Abstract available in Chinese from the publisher] ----------------------- Author information Chen XM1, Cao F2, Zhang HM1, Chen HR3, Zhang JD4, Zhi P3, Li ZY3, Wang YX5, Lu XC1. ---------------------- Abstract in English, Chinese Objective: Present study investigated the mechanism of heart failure associated with coronavirus infection and predicted potential effective therapeutic drugs against heart failure associated with coronavirus infection. Methods: Coronavirus and heart failure were searched in the Gene Expression Omnibus (GEO) and omics data were selected to meet experimental requirements. Differentially expressed genes were analyzed using the Limma package in R language to screen for differentially expressed genes. The two sets of differential genes were introduced into the R language cluster Profiler package for gene ontology (GO) and Kyoto gene and genome encyclopedia (KEGG) pathway enrichment analysis. Two sets of intersections were taken. A protein interaction network was constructed for all differentially expressed genes using STRING database and core genes were screened. Finally, the apparently accurate treatment prediction platform (EpiMed) independently developed by the team was used to predict the therapeutic drug. Results: The GSE59185 coronavirus data set was searched and screened in the GEO database, and divided into wt group, ΔE group, Δ3 group, Δ5 group according to different subtypes, and compared with control group. After the difference analysis, 191 up-regulated genes and 18 down-regulated genes were defined. The GEO126062 heart failure data set was retrieved and screened from the GEO database. A total of 495 differentially expressed genes were screened, of which 165 were up-regulated and 330 were down-regulated. Correlation analysis of differentially expressed genes between coronavirus and heart failure was performed. After cross processing, there were 20 GO entries, which were mainly enriched in virus response, virus defense response, type Ⅰ interferon response, γ interferon regulation, innate immune response regulation, negative regulation of virus life cycle, replication regulation of viral genome, etc . There are 5 KEGG pathways, mainly interacting with tumor necrosis factor signaling pathway, IL-17 signaling pathway, cytokine and receptor interaction, Toll-like receptor signaling pathway, human giant cells viral infection related. All differentially expressed genes were introduced into the SREING online analysis website for protein interaction network analysis, and core genes such as signal transducer and activator of transcription 3, IL-10, IL17, TNF, interferon regulatory factor 9, 2'-5'-oligoadenylate synthetase 1, mitogen-activated protein kinase 3, radical s-adenosyl methionine domain containing 2, c-x-c motif chemokine ligand 10, caspase 3 and other genes were screened. The drugs predicted by EpiMed's apparent precision treatment prediction platform for disease-drug association analysis are mainly TNF-α inhibitors, resveratrol, ritonavir, paeony, retinoic acid, forsythia, and houttuynia cordata. Conclusions: The abnormal activation of multiple inflammatory pathways may be the cause of heart failure in patients after coronavirus infection. Resveratrol, ritonavir, retinoic acid, amaranth, forsythia, houttuynia may have therapeutic effects. Future basic and clinical research is warranted to validate present results and hypothesis. KEYWORDS: Bioinformatics; Coronavirus infections; Drug prediction; Heart failure PMID: 32228827 DOI: 10.3760/cma.j.cn112148-20200308-00172