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1.
Signal Transduct Target Ther ; 6(1): 427, 2021 12 16.
Article in English | MEDLINE | ID: covidwho-1795805

ABSTRACT

Abnormal glucose and lipid metabolism in COVID-19 patients were recently reported with unclear mechanism. In this study, we retrospectively investigated a cohort of COVID-19 patients without pre-existing metabolic-related diseases, and found new-onset insulin resistance, hyperglycemia, and decreased HDL-C in these patients. Mechanistically, SARS-CoV-2 infection increased the expression of RE1-silencing transcription factor (REST), which modulated the expression of secreted metabolic factors including myeloperoxidase, apelin, and myostatin at the transcriptional level, resulting in the perturbation of glucose and lipid metabolism. Furthermore, several lipids, including (±)5-HETE, (±)12-HETE, propionic acid, and isobutyric acid were identified as the potential biomarkers of COVID-19-induced metabolic dysregulation, especially in insulin resistance. Taken together, our study revealed insulin resistance as the direct cause of hyperglycemia upon COVID-19, and further illustrated the underlying mechanisms, providing potential therapeutic targets for COVID-19-induced metabolic complications.


Subject(s)
COVID-19/blood , Hyperglycemia/blood , Insulin Resistance , Lipid Metabolism , Lipids/blood , SARS-CoV-2/metabolism , Adult , Aged , Biomarkers/blood , COVID-19/complications , Female , Humans , Hyperglycemia/etiology , Male , Middle Aged , Retrospective Studies
2.
EuropePMC; 2021.
Preprint in English | EuropePMC | ID: ppcovidwho-315231

ABSTRACT

Currently, Severe Acute Respiratory Syndrome Coronavirus 2(SARS-CoV-2) lacks clinically specific drugs. In this study, the new coronavirus SARS-CoV-2 3-chymotrypsin-like protease(3CLpro)and RNA-dependent RNA polymerase(RdRp)were used as targets for virtual screening. After analysis of molecular docking and molecular dynamics simulation results, ZINC04259665,ZINC12659533 and ZINC70705490 have good docking scores,and they are stable in combination with 3CLpro/RdRp. The prediction of drug-like properties found that ZINC04259665 has good druggability and has the potential to further explore its anti-SARS-CoV-2.

3.
EuropePMC; 2021.
Preprint in English | EuropePMC | ID: ppcovidwho-325404

ABSTRACT

Background: During the epidemic of COVID-19 of China, the emergency medical teams are facing serious stress in the front-line. As far as we know, there are no studies to test the applicability and measurement properties of the 10-item Chinese perceived stress scale (CPSS-10) in the emergency medical team. Methods: From March 17 to 27, 2020, an online survey was conducted on the emergency medical teams of Liaoning Province who supporting Wuhan. The CPSS-10 was used to measure the stress of medical workers. Classical test theory (CTT), bifactor model and multidimensional graded response model (MGRM) were used to analyze the measurement characteristics and differential item functioning (DIF) of CPSS-10. Results: The Cronbach's alpha coefficient of CPSS-10 was 0.86. Bifactor model confirmed that CPSS-10 was a two-factor structure. MGRM showed ordered response categories of K10. Item 8 could distinguish individual stress, but the slope of this item was very large (slope is 7.97, which was higher than 4), showing local dependence. There was a significant age DIF, but no DIF in gender. After removing the items 2, 5, and 8, the CPSS-7 showed high reliability, without DIF of age and gender, and there was no local dependence. Conclusions: MGRM could provide useful measurement information about CPSS-10 and CPSS-7. MGRM found that CPSS-10 did not fully conform to the item response theory (IRT). CPSS-7 had proved to be a more effective and reliable tool for assessing the perceived stress of emergency medical team.

4.
Int J Med Sci ; 19(2): 213-224, 2022.
Article in English | MEDLINE | ID: covidwho-1627517

ABSTRACT

Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), severely infects people and has rapidly spread worldwide. JingFangBaiDu San (JFBDS) has been used to treat prevalent epidemic pathogens, common cold, headache, cough due to lung-cold, and other symptoms; however, its treatment for COVID-19 is unknown. Molecular docking and network pharmacology were applied to obtain ingredient-protein structures and the herb-ingredient-disease target network model, respectively, to explore the potential mechanism of JFBDS in COVID-19 treatment. Network pharmacology analysis showed that acacetin, wogonin, and isorhamnetin were the main active ingredients of JFBDS, and EGFR, PIK3CA, LCK, MAPK1, MAPK3, MAPK8, STAT3, TNF, IL2, and RELA were speculated to be crucial therapeutic targets. Moreover, the Toll-like receptors, HIF-1, PIK3K/AKT, MAPK, NF-κB and NOD-like receptor signaling pathways were important for JFBDS in COVID-19 treatment. Molecular docking analysis indicated that ingredients of JFBDS could bind to angiotensin converting enzyme II, spike protein, and chymotrypsin like protease (3CLpro), which inhibits virus entry and replication in host cells. This study provides a new perspective for understanding potential therapeutic effects and mechanisms of JFBDS in COVID-19 and may facilitate its clinical application.


Subject(s)
COVID-19/drug therapy , Humans , Molecular Docking Simulation , Molecular Targeted Therapy , Phytotherapy , Protein Interaction Maps
5.
EuropePMC; 2021.
Preprint in English | EuropePMC | ID: ppcovidwho-292215

ABSTRACT

The full text of this preprint has been withdrawn by the authors due to author disagreement with the posting of the preprint. Therefore, the authors do not wish this work to be cited as a reference. Questions should be directed to the corresponding author.

6.
Nat Commun ; 12(1): 4984, 2021 08 17.
Article in English | MEDLINE | ID: covidwho-1361636

ABSTRACT

SARS-CoV-2 vaccination has been launched worldwide to build effective population-level immunity to curb the spread of this virus. The effectiveness and duration of protective immunity is a critical factor for public health. Here, we report the kinetics of the SARS-CoV-2 specific immune response in 204 individuals up to 1-year after recovery from COVID-19. RBD-IgG and full-length spike-IgG concentrations and serum neutralizing capacity decreases during the first 6-months, but is maintained stably up to 1-year after hospital discharge. Even individuals who had generated high IgG levels during early convalescent stages had IgG levels that had decreased to a similar level one year later. Notably, the RBD-IgG level positively correlates with serum neutralizing capacity, suggesting the representative role of RBD-IgG in predicting serum protection. Moreover, viral-specific cellular immune protection, including spike and nucleoprotein specific, persisted between 6 months and 12 months. Altogether, our study supports the persistence of viral-specific protective immunity over 1 year.


Subject(s)
COVID-19/immunology , SARS-CoV-2/immunology , Antibodies, Neutralizing/immunology , Antibodies, Viral/blood , Antibodies, Viral/immunology , COVID-19/blood , Humans , Immunity, Cellular/immunology , Immunity, Humoral/immunology , Immunoglobulin G/blood , Immunoglobulin G/immunology , Spike Glycoprotein, Coronavirus/immunology
7.
Chin. Trad. Herbal Drugs ; 7(51): 1677-1684, 20200412.
Article in Chinese | WHO COVID, ELSEVIER | ID: covidwho-379404

ABSTRACT

Objective: To investigate the multi compound-target-pathway mechanism of Renshen Baidu Powder (RSBDS) in the treatment of COVID-19 from cytokine perspective. Methods: The active compounds of RSBDS were collected by TCMSP and the cytokine storm related targets were collected by the drug target database. The interaction network of RSBDS on single drug-active compounds-targets was established by Cytoscape. The interaction network, GO function and KEGG pathway of the targets were analyzed by String and DAVID databases. Results: The interaction network of RSBDS on single drug-active compounds-targets included 10 kinds of medicinal materials, 211 active compounds and 151 disease targets. Interaction network showed that the targets related to the inhibition to cytokine storm of RSBDS on COVID-19 might include STAT3, MAPK1, NFκB1, PIK3CA, MAPK3, TNF, CXCR4, VEGFA, IL-6, IL-2, etc. GO function showed that above targets in biological function involved chemotaxis and steroid metabolism; Molecular function entries involved heme binding, iron ion binding and oxygen binding; Cell composition entries involved cell surface and cell membrane. KEGG pathway showed that above targets participated in the regulation of Chagas disease, HIF-1 signaling pathway, TNF signaling pathway, etc. Conclusion: The multi compound-target-pathways effect of RSBDS on COVID-19 was realized by inhibiting cytokine storm, which through regulating chemotaxis, increasing blood oxygen saturation, inhibiting STAT, MAPK, NFκB, PIK3K and IL-6 signal pathways.

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