AIM: To predict the core targets and related signaling pathways of Yi-xin-yin oral liquid for the treatment of arrhythmia, heart failure and myocarditis based on UHPLC-Q-TOF/MS, network pharmacology, molecular docking methods, cell experiments, according to the“homotherapy for heteropathy”theory in traditional Chinese medicine. METHODS: UHPLC-Q-TOF / MS was used to analyze and identify the chemical composition of Yi-xin-yin oral liquid Extract and the blood-absorbing components of rats oral administrated with Yi-xin-yin oral liquid extract, which compounds were applied in the databases searching for the potential targets (TCMSP, SwissTargetPrediction) and disease targets (OMIM, Genecard). Venn diagram was used for target intersection, and the subsequent protein-protein interaction network obtained core targets by STRING11.5 database, and then construct a "disease-component-target" network by cytoscape3.9.0. Finally, DAVID database was used to analysis GO function and KEGG enrichment analysis of core targets, and molecular docking validation was performed using Autodock vina software. And, validated with H9c2 cells for potential active ingredients and targets. RESULTS: A total of 156 compounds were identified from Yi - xin-yin Oral Liquid extract; 34 compounds were identified from rat serum, including 6-gin-gerol, isoliquiritigenin, glycyrrhizic acid and other compounds, and 139 intersecting targets were obtained. The KEGG pathway enrichment analysis mainly involved the TNF signaling pathway, IL-17 signaling pathway, MAPK signaling pathway, PI3K-Akt signaling pathway and so on. The TNF and IL-6 targets were selected for molecular docking with the main compounds, and the docking results were good (less than -5 kcal/mol). In vitro cellular experiments have shown that Yi-xin-yin oral liquid can exert therapeutic effects by regulating TNF and IL-6. CONCLUSION: The main potential active ingredients of Yi-xin-yin oral liquid may be isoliquiritigenin, glycyrrhetinic acid, calycosin-7-glucoside, salvianolic acid B, and 6-gingerol, which mainly act on TNF, IL-6 and other targets to regulate specific signaling pathways and exert therapeutic effects.

Objective To analyze the research status and predict the development trend of clinical comprehensive evaluation of drugs in China, and to provide reference for clinical comprehensive evaluation. Methods CNKI, Wanfang and VIP database were used to search the published articles of clinical comprehensive evaluation. Literature searching was set from the building time of the database to 2022, the basic information about the published articles was obtained for the evaluation of the literature quality. Bibliometrics and CiteSpace 6.1.R3 software were used to visualize the research authors, research institutions, and key words. Results After data screening, a total of 126 Chinese published articles were selected. The analysis showed that the numbers of published articles were rising continuously, and China Academy of Chinese Medical Sciences and Xie Yanming were the institute and the author with the maximum number of literatures, respectively. Conclusion The clinical comprehensive evaluation of drugs was conducted based on the clinical value of drugs, guided by the policy requirements. It is suggested that researchers should conduct the comprehensive evaluation according to the focus and requirements of government agencies, the pharmaceutical industry and the clinical applications.

Humans ; COVID-19 ; SARS-CoV-2

Humans ; Consensus ; Pancreatic Neoplasms/therapy* ; Neuroendocrine Tumors/therapy*

Objective To rapidly explore the chemical components of Xiaotan Tongfu formula, and to provide scientific basis for the basic research and clinical treatment of the formula. Methods Analysis was performed on an Agilent 1290 ultra-performance liquid chromatography system coupled with an Agilent 6530 accurate quality Q-TOF/MS system, by using a Waters ACQUITY UPLC BEH C₁₈ column (2.1 mm × 100 mm, 1.7 μm), with a gradient elution applying 0.1% aqueous formic acid solution and acetonitrile as a mobile phase. The flow rate was 0.3 ml/min. The column temperature was 30°C. The injection volume was 1 μl, and the detection wavelength was 254 nm. Mass spectrometry (MS) data were collected in both positive and negative ESI ion modes. Components in the formula were identified by using the in-house compound database, and comparing the retention time (tR), MS1 and MS2 data with the standard compounds, and the online compound MS database. Results A total of 55 compounds were identified from Coptis coptidis, Pseudomonas solani, Rhubarb, Araceae artemisiae and Pinellia chinensis. Conclusion The established UHPLC-Q-TOF/MS method could systematically and accurately identify the chemical components from Xiaotan Tongfu formula, and provided a reference for the quality marker selection and the research on the active ingredient.

Objective To study the protective effect of Shengxian decoction and the single herb decoction against myocardial injury induced by hypoxia/reoxygenation. Methods The H9c2 cells were cultured to establish hypoxia/reoxygenation model. Rats were divided into 8 groups: normal control group, hypoxia/reoxygenation group (model group) and treated groups (Shengxian decoction and the single herb decoction). The apoptotic rate of cardiomyocytes, the activity of reactive oxygen species (ROS) and intracellular calcium concentration (Ca²⁺) were measured. Results Compared with hypoxia/reoxygenation group, the apoptosis rate, ROS activity and intracellular Ca²⁺ concentration were significantly lower in all treated groups (P<0.05). The ROS activity and intracellular Ca²⁺ concentration was decreased by 41.37% and 15.20% in Shengxian decoction group compared to the model group. Conclusion Shengxian decoction and the single herb decoction had protective effect on myocardial injury induced by hypoxia/reoxygenation.

This study aimed to elucidate the effective components of Shengxian Decoction and its mechanism of action in treating chronic heart failure. Firstly, UHPLC-Q-TOF-MS was established to identify the main chemical constituents in the rat serum after intragastric administration with Shengxian Decoction. Secondly, the absorbed components in serum were then used for the network pharmacology analysis to infer the mechanism and effective components. Targets for constituents in serum were predicted at TCMSP and Swiss-TargetPrediction database. An association network map was drawn by network visualization software Cytoscape 3.6.1. Finally, GO enrichment analysis and KEGG pathway enrichment analysis were carried out for the core target genes. By UHPLC-Q-TOF-MS, 18 prototype compounds were definitely identified, including five compounds from Astragali Radix, four compounds from Anemarrhenae Rhizoma, four compounds from Bupleuri Radix, four compounds from Cimicifugae Rhizoma, and one compound from Platycodonis Radix. Those components of Shengxian Decoction were closely associated with 13 key protein targets, including inflammatory factors, like IL6, IL1 B, TNF, PTGS2, IL10; redox enzymes CAT, HMOX1, and MPO; cardiovascular targets, like VEGFA, NOS3, and NOS2; and transmememial proteins CAV1 and INS. Network pharmacology analysis showed that the 18 compounds could be responsible for the treatment of chronic heart failure by regulating HIF-1 signaling pathways, PI3 K-Akt signaling pathways, cGMP-PKG signaling pathways, cAMP signaling pathways and TNF signaling pathways. This study provided a scientific basis for mechanism and effective ingredients of Shengxian Decoction.
Animals ; Chromatography, High Pressure Liquid ; Drugs, Chinese Herbal ; Heart Failure/genetics* ; Rats ; Rhizome ; Signal Transduction

BACKGROUND: Hypertension is considered an important risk factor for the coronavirus disease 2019 (COVID-19). The commonly anti-hypertensive drugs are the renin-angiotensin-aldosterone system (RAAS) inhibitors, calcium channel blockers (CCBs), and beta-blockers. The association between commonly used anti-hypertensive medications and the clinical outcome of COVID-19 patients with hypertension has not been well studied. METHODS: We conducted a retrospective cohort study that included all patients admitted with COVID-19 to Huo Shen Shan Hospital and Guanggu District of the Maternal and Child Health Hospital of Hubei Province, Wuhan, China. Clinical and laboratory characteristics were extracted from electronic medical records. Hypertension and anti-hypertensive treatment were confirmed by medical history and clinical records. The primary clinical endpoint was all-cause mortality. Secondary endpoints included the rates of patients in common wards transferred to the intensive care unit and hospital stay duration. Logistic regression was used to explore the risk factors associated with mortality and prognosis. Propensity score matching was used to balance the confounders between different anti-hypertensive treatments. Kaplan-Meier curves were used to compare the cumulative recovery rate. Log-rank tests were performed to test for differences in Kaplan-Meier curves between different groups. RESULTS: Among 4569 hospitalized patients with COVID-19, 31.7% (1449/4569) had a history of hypertension. There were significant differences in mortality rates between hypertensive patients with CCBs (7/359) and those without (21/359) (1.95% vs. 5.85%, risk ratio [RR]: 0.32, 95% confidence interval [CI]: 0.13-0.76, χ2 = 7.61, P = 0.0058). After matching for confounders, the mortality rates were similar between the RAAS inhibitor (4/236) and non-RAAS inhibitor (9/236) cohorts (1.69% vs. 3.81%, RR: 0.43, 95% CI: 0.13-1.43, χ2 = 1.98, P = 0.1596). Hypertensive patients with beta-blockers (13/340) showed no statistical difference in mortality compared with those without (11/340) (3.82% vs. 3.24%, RR: 1.19, 95% CI: 0.53-2.69, χ2 = 0.17, P = 0.6777). CONCLUSIONS In our study, we did not find any positive or negative effects of RAAS inhibitors or beta-blockers in COVID-19 patients with hypertension, while CCBs could improve prognosis.
Angiotensin Receptor Antagonists/therapeutic use* ; Angiotensin-Converting Enzyme Inhibitors/therapeutic use* ; Antihypertensive Agents/therapeutic use* ; COVID-19 ; Calcium Channel Blockers/therapeutic use* ; Child ; China ; Humans ; Hypertension/drug therapy* ; Prognosis ; Retrospective Studies ; SARS-CoV-2

AIM: The main chemical components of Yufang Fangji II (Hubei Fang) of COVID-19 were studied systematically and combined with network pharmacology to provide a reference for the study of its effective substances. METHODS: Ultra high-performance liquid chromatography quadrupole time of flight mass spectrometry (UHPLC-Q-TOF/MS) was applied to identify the absorbed components of the prescription in rat plasma. TCMSP database and Swiss Target Prediction data platform were used to predict the target of the identified blood components, and network visualization software Cytoscape 3.7.2 was used draw the association network diagram, and GO enrichment analysis and KEGG pathway enrichment analysis were conducted for the key targets. With the help of CB-Dock online molecular docking platform, the molecular docking of key targets and blood entering compounds was carried out, and the docking combination with good affinity value was displayed by ligplot software to verify the preventive effect of Yufang Fangji II on COVID-19. RESULTS: A total of 52 chemical components identified in the prescription, in which 13 components were absorbed in the rat plasma as the prototype, and they were from Astragalus membranaceus, Atractylodes macrocephala, Saposhnikoviae Radix, Lonicerae Japonicae Flos, and Citri Reticulatae Pericarpium, respectively. These compounds were recognized to act on 17 core targets, including mapk3, TNF and other targets related to inflammation, MPO and other targets related to oxidative stress, VEGFR, KDR and other targets related to vascular endothelium. The results of molecular docking showed that the absorbed components had good binding activity with the key targets. CONCLUSION: Compounds in Yufang Fangji II are involved in regulating inflammation, oxidative stress, vascular and cellular physiological activities, which have preventive effects on COVID-19 through regulating IL-17, PI3K Akt, MAPK and other pathways.

ABSTRACT OBJECTIVE：To establish a method for content determination of paclitaxel in malignant ascites of tumor patients. METHODS：LC-MS/MS method was adopted. Using vindoline as internal standard，the content of paclitaxel in ascites of tumor patients was determined. The separation was performed on Zorbax SB-C18 column with mobile phase consisted of aqueous solution （containing 0.1％ formic acid and 10 mmol/L ammonium acetate）-acetonitrile（40 ∶ 60，V/V）at the flow rate of 0.25 mL/min. the column temperature was 30 ℃，and sample size was 5 μL. The ion source was electrospray ion source，and the detection mode was multiple ion monitoring positive ion mode. MS parameters were set as following as dry gas temperature 350 ℃，dry gas flow rate 10 L/min，capillary voltage 4 000 V. Quantitative determination was operated in the multiple reaction monitoring（MRM）mode， with the ion transitions m/z 876.5→308.0 for paclitaxel and m/z 457.3→188.1 for the internal standard. The fragment voltage/ collision energy for paclitaxel and the internal standard were 250 V/30 eV，and 150 V/20 eV，respectively. RESULTS：The linear range of paclitaxel were 25-2 500 ng/mL（r2＝0.996 5，n＝7）. The lowest limit of quantitation was 25 ng/mL. RSDs of inter-day and intra-day precision tests were 0.61％ -3.62％（n＝5，3）. Accuracies were 95.34％ -98.76％（n＝5，3）. RSDs of extraction recovery were 3.19％-3.72％（n＝3）. CV of matrix effect were 1.52％-2.93％（n＝3）. RE of stability tests were lower than 3％（n＝ 3）. CONCLUSIONS：The method is simple，accurate and suitable for the content determination of paclitaxel in malignant ascites of tumor patients.