Xuebijing Injection have been found to improve the clinical symptoms of COVID-19 and alleviate disease severity, but the mechanisms are currently unclear. This study aimed to investigate the potential molecular targets and mechanisms of the Xuebijing injection in treating COVID-19 via network pharmacology and molecular docking analysis. The main active ingredients and therapeutic targets of the Xuebijing injection, and the pathogenic targets of COVID-19 were screened using the TCMSP, UniProt, and GeneCard databases. According to the 'Drug-Ingredients-Targets-Disease' network built by STRING and Cytoscape, AKT1 was identified as the core target, and baicalein, luteolin, and quercetin were identified as the active ingredients of the Xuebijing injection in connection with AKT1. R language was used for enrichment analysis that predict the mechanisms by which the Xuebijing injection may inhibit lipopolysaccharide-mediated inflammatory response, modulate NOS activity, and regulate the TNF signal pathway by affecting the role of AKT1. Based on the results of network pharmacology, a molecular docking was performed with AKT1 and the three active ingredients, the results indicated that all three active ingredients could stably bind with AKT1. These findings identify potential molecular mechanisms by which Xuebijing Injection inhibit COVID-19 by acting on AKT1.
Summary What is known and objective Like many countries in the world, China is also facing growing drug expenditures year by year. In particular, the rising cost of prescription drugs has been one of the critical factors leading to the serious burden on health insurance programs. The high cost of prescription drugs not only threatens the health budget but also limits the nation's investment in other public sectors. China implemented the National Centralized Drug Procurement (NCDP) policy, also known as the "4 + 7" policy, in tertiary hospitals in various provinces and cities across the country on 18 December 2019, aiming to lessen personal and national health insurance burdens by reducing drug procurement prices. The aim of this study is to explore the impact of the implementation of the NCDP policy on the drug expenditures of patients treated in outpatient and emergency departments and on national health insurance expenditures. Methods This study adopts interrupted time series (ITS) to evaluate the impact of China's implementation of the NCDP policy on the drug expenditures of patients treated in outpatient and emergency departments in a tertiary hospital. The NCDP policy was officially implemented on 18 December 2019. A segmented regression model is utilized to analyse the average monthly drug expenditures of patients treated in outpatient and emergency departments from January 2018 to June 2021, including the average monthly per‐visit drug expenditures of all patients and the average monthly per‐visit drug expenditures of patients who paid for drugs with health insurance and those who did not use health insurance. Results After the implementation of the NCDP policy, the overall average monthly per‐visit drug expenditures of patients treated in outpatient and emergency departments were immediately reduced by 233.954 CNY (p < 0.01). Compared with the continued downward trend for drug expenditures before the implementation of the NCDP policy, the long‐term trend after policy implementation was not obvious (p = 0.051973>0.05). Similarly, the average monthly per‐visit drug expenditures of patients treated in outpatient and emergency departments who use health insurance to procure drugs also immediately decreased by 505.287 CNY (p < 0.01), but the long‐term trends before (p = 0.469>0.05) and after policy implementation (p = 0.51>0.05) did not exhibit obvious change. For the average monthly per‐visit drug expenditures of patients treated in outpatient and emergency departments who did not use health insurance, the implementation of the NCDP policy did not produce an immediate reduction in drug expenditures (p = 0.3603>0.05). Although the average monthly per‐visit drug expenditures decreased by 9.078 CNY (p < 0.01) before policy implementation, this trend ended after the policy was implemented (p = 0.0735>0.05), and no other changes were triggered. What is new and conclusion This study reviews the data for a period of time before and after the implementation of the NCDP policy. The policy is shown to significantly dec...
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