Population pharmacokinetics and exposure-response analysis of a single dose of sotrovimab in the early treatment of patients with mild to moderate COVID-19.

Sotrovimab is a recombinant human monoclonal antibody that has been shown to prevent progression to hospitalization or death in non-hospitalized high-risk patients with mild to moderate coronavirus disease 2019 following either intravenous (i.v.) or intramuscular (i.m.) administration. Population pharmacokinetic (PopPK) and exposure-response (ER) analyses were performed to characterize single dose sotrovimab pharmacokinetics (PK) and the relationship between exposure and response (probability of progression), as well as covariates that may contribute to between-participant variability in sotrovimab PK and efficacy following i.v. or i.m. administration. Sotrovimab PK was described by a two-compartment model with linear elimination; i.m. absorption was characterized by a sigmoid absorption model. PopPK covariate analysis led to the addition of the effect of body weight on systemic clearance and peripheral volume of distribution, sex on i.m. bioavailability and first-order absorption rate (KA), and body mass index on KA. However, the magnitude of covariate effect was not pronounced and was therefore not expected to be clinically relevant based on available data to date. For ER analysis, sotrovimab exposure measures were predicted using the final PopPK model. An ER model was developed using the exposure measure of sotrovimab concentration at 168 h that described the relationship between exposure and probability of progression within the ER dataset for COMET-TAIL. The number of risk factors (≤1 vs. >1) was incorporated as an additive shift on the model-estimated placebo response but had no impact on overall drug response. Limitations in the ER model may prevent generalization of these results to describe the sotrovimab exposure-progression relationship across severe acute respiratory syndrome-coronavirus 2 variants.

Analysis of differences in suboptimal health status between urban and rural residents and influencing factor during COVID-19 pandemic

Background: Since December 2019, Coronavirus disease (COVID-19) has rapidly spread to most places in China and other countries, which may exert further impacts on the physiological and psychological states of urban and rural residents. Therefore, it is necessary to explore their health status during the COVID-19 outbreak.

Network pharmacologic molecular mechanism of Shenmai Injection in treatment of COVID-19 combined with coronary heart disease

Objective: To analyze the molecular interaction network pathway of Shenmai Injection in the treatment of COVID-19 with coronary heart disease by using network pharmacology. Methods: Using the TCMSP and ETCM to retrieve the chemical constituents of Ginseng Radix et Rhizoma Rubra and Ophiopogonis Radix in Shenmai Injection. The target of the compound was predicted through the SwissTargetPrediction database. The target of COVID-19 with coronary heart disease was screened through the NCBI database and the GeneCards database, and the targets of compound and disease were mapped to obtain the target of the compound for treating the disease. FunRich software and DAVID database were used to perform GO function enrichment analysis and KEGG pathway enrichment analysis, and Excel software and Tableau software to draw bar charts and bubble charts for visualization. Finally, Cytoscape 3.7.1 software was used to build compound-target-pathway network. Glide was used to dock the components of Shenmai Injection with 3CL hydrolase (Mpro). Results: The results showed that ophiopogonin D', ophiopogonin D, ginsenoside Rg 2, methyl ophiopogonanone A, ophiogenin-3-O-α-L-rhamnopyranosyl (1→2)-β-D-glucopyranoside, ginsenoside Rb 2, ginsenoside R 0, ophiopogon A, sanchinoside Rd, ophiopogonanone E, and ginsenoside Re showed higher degrees in the analysis and stronger binding with 3CL hydrolase. Those compounds were the main effective components in the treatment of COVID-19 combined with coronary heart disease, involving 77 targets such as IL6, GAPDH, ALB, TNF, MAPK1, MAPK3, TP53, EGFR, CASP3, and CXCL8. KEGG pathway enrichment analysis revealed that there were 124 (P < 0.05) signaling pathways involving HIF-1 signaling pathway, TNF signaling pathway, sphingolipid signaling pathway, Toll-like receptor signaling pathway, neurotrophin signaling pathway, VEGF signaling pathway, apoptosis, Ras signaling pathway, PI3K-Akt signaling pathway, and prolactin signaling pathway. The results of molecular docking showed that the affinity between the 17 components of Shenmai Injection and the 3CL hydrolase of SARS-CoV-2 was less than -25 kJ/mol. Conclusion: Shenmai Injection can achieve simultaneous intervention of COVID-19 and coronary heart disease by inhibiting cytokine storms, maintaining cardiac function homeostasis, regulating immunity, and antivirals. It presents the network regulation mechanism of mutual influence and complex correlation. This study can provide a scientific basis for the treatment of Shenmai Injection in critically ill patients with COVID-19.