RESUMO
The coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) with high pathogenicity and infectiousness has become a sudden and lethal pandemic worldwide. Currently, there is no accepted specific drug for COVID-19 treatment. Therefore, it is extremely urgent to clarify the pathogenic mechanism and develop effective therapies for patients with COVID-19. According to several reliable reports from China, traditional Chinese medicine (TCM), especially for three Chinese patent medicines and three Chinese medicine formulas, has been demonstrated to effectively alleviate the symptoms of COVID-19 either used alone or in combination with Western medicines. In this review, we systematically summarized and analyzed the pathogenesis of COVID-19, the detailed clinical practice, active ingredients investigation, network pharmacology prediction and underlying mechanism verification of three Chinese patent medicines and three Chinese medicine formulas in the COVID-19 combat. Additionally, we summarized some promising and high-frequency drugs of these prescriptions and discussed their regulatory mechanism, which provides guidance for the development of new drugs against COVID-19. Collectively, by addressing critical challenges, for example, unclear targets and complicated active ingredients of these medicines and formulas, we believe that TCM will represent promising and efficient strategies for curing COVID-19 and related pandemics.
RESUMO
Objective: To explore the effective chemical constituents of Jinhua Qinggan Granules for treatment of coronavirus disease 2019 (COVID-19). Methods: The compounds and action targets of eleven herbal medicines in Jinhua Qinggan Granules were collected via TCMSP. The genes corresponding to the targets were queried by the UniProt database, then the “herbal medicine-compound-target” network was established by Cytoscape software. The gene ontology (GO) function enrichment analysis and KEGG pathway enrichment analysis were performed by DAVID to predict their mechanism. Molecular docking was used to analyze the binding force of the core effective compounds in the “herbal medicine-compound-target” network with SARS-CoV-2 3CL hydrolase and angiotensin converting enzyme II (ACE2). Results: The “herbal medicine-compound-target” network contained 154 compounds and 276 targets, and the key targets involved PTGS2, HSP90AB1, HSP90AA1, PTGS1, NCOA2, etc. GO function enrichment analysis revealed 278 items, including ATP binding, transcription factor activation and regulation of apoptosis process, etc. KEGG pathway enrichment screened 127 signaling pathways, including TNF, PI3K/Akt and HIF-1 signaling pathways related to lung injury protection. The results of molecular docking showed that formononetin, stigmasterol, beta-sitosterol, anhydroicaritin and other key compounds have a certain degree of affinity with SARS-CoV-2 3CL hydrolase and ACE2. Conclusion: The effective compounds in Jinhua Qinggan Granules regulate multiple signaling pathways via binding ACE2 and acting on targets such as PTGS2, HSP90AB1, HSP90AA1, PTGS1, NCOA2 for the prevention of COVID-19.
RESUMO
Objective: To establish quality standard on Qinggan Granules (Radix Actinidiae valvatas, Radix Scutellariae, Rhizoma Atractylodis Macrocephalae, Badix Bupleuri, etc.). Methods: Radix Actinidiae valvatae, Radix Scutellariae, Rhizoma Atractylodis Macrocephalae and Radix Bupleuri were identified by TLC, and the content of Baicalin was determined by dual wavelength TLC scanning. Results: Baicalin showed a linear relationship at the range of 0.55～4.4?g, the average recovery was 102.9%. Conclusion: Method is simple, quick and good reproducible.