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2.
The Imaging Science Journal ; : 1-10, 2022.
Article in English | Taylor & Francis | ID: covidwho-2160661
3.
Front Immunol ; 13: 918476, 2022.
Article in English | MEDLINE | ID: covidwho-2071085

ABSTRACT

Background: Deep venous thrombosis (DVT) highly occurs in patients with severe COVID-19 and probably accounted for their high mortality. DVT formation is a time-dependent inflammatory process in which NETosis plays an important role. However, whether ginsenoside Rg5 from species of Panax genus could alleviate DVT and its underlying mechanism has not been elucidated. Methods: The interaction between Rg5 and P2RY12 was studied by molecular docking, molecular dynamics, surface plasmon resonance (SPR), and molecular biology assays. The preventive effect of Rg5 on DVT was evaluated in inferior vena cava stasis-induced mice, and immunocytochemistry, Western blot, and calcium flux assay were performed in neutrophils from bone marrow to explore the mechanism of Rg5 in NETosis via P2RY12. Results: Rg5 allosterically interacted with P2RY12, formed stable complex, and antagonized its activity via residue E188 and R265. Rg5 ameliorated the formation of thrombus in DVT mice; accompanied by decreased release of Interleukin (IL)-6, IL-1ß, and tumor necrosis factor-α in plasma; and suppressed neutrophil infiltration and neutrophil extracellular trap (NET) release. In lipopolysaccharide- and platelet-activating factor-induced neutrophils, Rg5 reduced inflammatory responses via inhibiting the activation of ERK/NF-κB signaling pathway while decreasing cellular Ca2+ concentration, thus reducing the activity and expression of peptidyl arginine deiminase 4 to prevent NETosis. The inhibitory effect on neutrophil activity was dependent on P2RY12. Conclusions: Rg5 could attenuate experimental DVT by counteracting NETosis and inflammatory response in neutrophils via P2RY12, which may pave the road for its clinical application in the prevention of DVT-related disorders.


Subject(s)
COVID-19 , Venous Thrombosis , Animals , Ginsenosides , Mice , Molecular Docking Simulation , Neutrophils
4.
Phys Chem Chem Phys ; 24(37): 22898-22904, 2022 Sep 28.
Article in English | MEDLINE | ID: covidwho-2036937

ABSTRACT

Coronavirus 3C-like protease (3CLpro) is found in SARS-CoV-2 virus, which causes COVID-19. 3CLpro controls virus replication and is a major target for target-based antiviral discovery. As reported by Pfizer, Nirmatrelvir (PF-07321332) is a competitive protein inhibitor and a clinical candidate for orally delivered medication. However, the binding mechanisms between Nirmatrelvir and 3CLpro complex structures remain unknown. This study incorporated ligand Gaussian accelerated molecular dynamics, the one-dimensional and two-dimensional potential of mean force, normal molecular dynamics, and Kramers' rate theory to determine the binding and dissociation rate constants (koff and kon) associated with the binding of the 3CLpro protein to the Nirmatrelvir inhibitor. The proposed approach addresses the challenges in designing small-molecule antiviral drugs.


Subject(s)
Antiviral Agents , Coronavirus 3C Proteases , SARS-CoV-2 , Antiviral Agents/chemistry , Antiviral Agents/pharmacology , Coronavirus 3C Proteases/antagonists & inhibitors , Cysteine Endopeptidases/metabolism , Lactams , Leucine , Ligands , Molecular Docking Simulation , Molecular Dynamics Simulation , Nitriles , Peptide Hydrolases/metabolism , Proline , SARS-CoV-2/drug effects
5.
Hu Li Za Zhi ; 69(3):68-76, 2022.
Article in Chinese | ProQuest Central | ID: covidwho-1870912

ABSTRACT

Background & Problems: Taiwan entered the community transmission stage of COVID-19 in May 2021, with numbers of locally confirmed cases and critical cases increasing sharply. Medical institutions deployed special units to treat patients. In our hospital, a special COVID-19 intensive care units staffed with nursing personnel across various specialties was established. The rate of COVID-19 critical care completion among nurses in this unit was 79.1%. The reasons for non-completion were found to include limited intensive care standards for COVID-19;inadequate training, teaching aids, and practice manuals;and the overwhelming amount of new COVID-19-related information and updates. Purpose: The aim of this project was to increase the team's COVID-19 critical care completion rate from 79.1% to 93.5%. Resolutions: Multiple strategies were implemented, including: (1) providing online education and training, (2) establishing a platform for sharing COVID-19-related updates, (3) creating a QR-code accessible COVID-19 reference database, (4) creating a COVID-19 practice manual, and (5) providing simulation training sessions on wearing personal protective equipment during critical care. Results: The critical-care completion rate for patients with COVID-19 infection increased significantly in this unit from 79.1% to 98.2%, which exceeded the project goal. Conclusions: Implementing a multi-strategy intervention that includes both online and simulation training may be effective in improving the critical care completion rate for patients with COVID-19 infection.

6.
Chin J Nat Med ; 18(12): 941-951, 2020 Dec.
Article in English | MEDLINE | ID: covidwho-1065694

ABSTRACT

As a representative drug for the treatment of severe community-acquired pneumonia and sepsis, Xuebijing (XBJ) injection is also one of the recommended drugs for the prevention and treatment of coronavirus disease 2019 (COVID-19), but its treatment mechanism for COVID-19 is still unclear. Therefore, this study aims to explore the potential mechanism of XBJ injection in the treatment of COVID-19 employing network pharmacology and molecular docking methods. The corresponding target genes of 45 main active ingredients in XBJ injection and COVID-19 were obtained by using multiple database retrieval and literature mining. 102 overlapping targets of them were screened as the core targets for analysis. Then built the PPI network, TCM-compound-target-disease, and disease-target-pathway networks with the help of Cytoscape 3.6.1 software. After that, utilized DAVID to perform gene ontology (GO) function enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis to predict the action mechanism of overlapping targets. Finally, by applying molecular docking technology, all compounds were docked with COVID-19 3 CL protease(3CLpro), spike protein (S protein), and angiotensin-converting enzyme II (ACE2). The results indicated that quercetin, luteolin, apigenin and other compounds in XBJ injection could affect TNF, MAPK1, IL6 and other overlapping targets. Meanwhile, anhydrosafflor yellow B (AHSYB), salvianolic acid B (SAB), and rutin could combine with COVID-19 crucial proteins, and then played the role of anti-inflammatory, antiviral and immune response to treat COVID-19. This study revealed the multiple active components, multiple targets, and multiple pathways of XBJ injection in the treatment of COVID-19, which provided a new perspective for the study of the mechanism of traditional Chinese medicine (TCM) in the treatment of COVID-19.


Subject(s)
COVID-19 Drug Treatment , COVID-19 , Drugs, Chinese Herbal , Medicine, Chinese Traditional/methods , Molecular Docking Simulation/methods , SARS-CoV-2 , Signal Transduction/drug effects , Angiotensin-Converting Enzyme 2/metabolism , Biological Availability , COVID-19/metabolism , COVID-19/virology , Coronavirus 3C Proteases/metabolism , Drugs, Chinese Herbal/pharmacokinetics , Drugs, Chinese Herbal/therapeutic use , Humans , Protein Interaction Mapping/methods , SARS-CoV-2/drug effects , SARS-CoV-2/physiology , Spike Glycoprotein, Coronavirus/metabolism
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