Objective:To systematically elucidate the molecular mechanism of hesperetin in the treatment of heart failure by network pharmacology, molecular docking, and molecular dynamics, and to clarify its key targets and pathway regulatory networks.Methods:Potential targets of hesperetin were retrieved from the PubChem, Pharmmapper, SwissTargetPrediction, and Similarity ensemble approach databases. Heart failure-related targets were obtained from the OMIM, GeneCards, and TTD databases. Intersection targets were identified using Venny 2.1. A protein-protein interaction (PPI) network of potential targets was constructed using the STRING database and Cytoscape 3.9.0 software. Gene ontology (GO) functional and Kyoto encyclopedia of genes and genomes (KEGG) pathway enrichment analyses of key targets were performed using the Metascape database. Molecular docking was carried out using Autodock vina1.1.2. GROMACS (2024.03) was employed to conduct a 100 ns molecular dynamics simulation on the optimal affinity complex. The thermodynamic stability of the candidate complex during simulation was evaluated by analyzing the root mean square deviation (RMSD), root mean square fluctuation (RMSF), radius of gyration (Rg), and binding free energy. Data were analyzed by an independent sample t test or one-way analysis of variance. Results:A total of 356 related targets of hesperetin and 2 923 related targets of heart failure were screened, with 152 intersection targets identified as potential targets for hesperetin intervention in heart failure. PPI network topological analysis revealed key targets for hesperetin intervention in heart failure, including insulin-like growth factor 1, estrogen receptor 1 (ER1), cysteine aspartic acid specific protease-3, sarcoma proto-oncogene, matrix metalloproteinase 9 (MMP9), MMP2, Janus kinase 2 (JAK2), albumin, heat shock protein 90 alpha family class A member 1, epidermal growth factor receptor, and B-cell lymphoma-2 (Bcl-2). GO functional enrichment analysis indicated that biological processes were mainly enriched in response to hormone stimulation, positive regulation of cell migration, gland development, response to nutritional levels, regulation of system processes, and response to trauma. Molecular functions were primarily enriched in phosphotransferase activity, nuclear receptor activity, endopeptidase activity, kinase binding, heme binding, hormone binding and protease binding. Cellular components were mainly enriched in membrane-related structures such as vesicle cavity, membrane raft, vacuole cavity, receptor complex and extracellular matrix containing collagen. KEGG pathway enrichment analysis showed that these key targets were significantly enriched in lipid and atherosclerosis, diabetic cardiomyopathy, and the hypoxia-inducible factor-1 signaling pathway. Molecular docking results indicated that the binding energy of hesperetin to MMP9 (?46.442 kJ/mol) was significantly lower than that to other key targets. Molecular dynamics simulations revealed that the hesperetin-MMP9 complex maintained structural stability, with an average RMSD of 1.60 ?. The average RMSF values of MMP9 residues (0.83 ?) and ligand atoms (0.68 ?) indicated stable protein conformation and ligand-binding states. The Rg values of MMP9 [(15.04±0.60) ?] and hesperetin [(4.19±0.35) ?] showed minimal fluctuations, further supporting structural compactness. The total binding free energy of the hesperetin-MMP9 complex during the 100 ns simulation was (?142.3±6.3) kJ/mol, with minimal energy fluctuations, confirming that the complex remained structurally stable without significant energy transition throughout the simulation.Conclusions:Hesperetin may bind effectively to targets such as MMP9, JAK2, Bcl-2, and ER1, and form a stable complex with MMP9. It is suggested to influence biological processes related to lipids and signaling pathways such as atherosclerosis, diabetic cardiomyopathy, and hypoxia-inducible factor-1, thereby playing a role in heart failure intervention.

Objective:To investigate the proliferation of rat glomerular mesangial cells (GMC) influenced by different ethanol extracts of Tripterygium wilfordii HooK F.(TWHF).Methods:An HPLC method was used to establish the fingerprints of 5 different ethanol extracts of TWHF,and GMC was chosen to study the effects of different ethanol extracts of TWHF on cell proliferation.After statistical analysis,the spectrum-activity relationship was analyzed by using partial least squares regression(PLSR).Results:The HPLC fingerprints of the 5 different ethanol extracts of TWHF were established,and 32 characteristic peaks were characterized by the HPLC fingerprints.60%,70% and 95% ethanol extracts and glycosides tablets showed dose-effect relationship,and with the increase of dose,the more significant inhibition of cell proliferation was exhibited.The absorbance values of the 60% ethanol extracts at medium and high doses were lower than those of the other extracts at the same dose.The proliferation inhibition rate of GMC was used as the potency index and analyzed by PLSR,and 20 peaks were potency peaks at high dose(40 μg·L-1),17 ones were potency peaks at medium dose(20 μg·L-1) and 15 ones were potency peaks at low dose(10 μg·L-1).Conclusion:Part of the potency peaks has regular dose-effect relationship with the changes of dose.

OBJECTIVE:To investigate off-indication use of oral chemical drugs medical orders by the standards of CFDA and FDA,and to compare the differences between the two standards,analyze reasons and rationality of drug use,so as to pro-vide reference for establishing off-indications use management system. METHODS:The oral chemical drugs medical orders of inpatients were analyzed statistically during Jan.-Jun. 2016. Off-label uses was judged according to the standards of CFDA and FDA. RESULTS:Totally 507 oral chemical drugs medical orders were collected,the percentage of off-indications use were in high level,being 58.58% and 55.82% respectively by the standards of CFDA and FDA. The incidence of off-indication use of quetiapine and aripiprazole by the CFDA standards were significantly higher than the results of FDA standards,with statistical significance(P<0.05). Magnesium valproate(54.03%),escitalopram oxalate(10.45%)and quetiapine(10.15%)occupied the top 3 places in the list of constituent ratio. Among off-indication medical orders,7 orders had no evidence-based medicine,ac-counting for 2.36% of total. CONCLUSIONS:Most off-indication medical orders of our hospital could provide the basis and lit-erature support,while there are still a few off-indication use with insufficient evidence. The corresponding management system of the hospital should be formulated to guarantee the medication safety of the patients and legitimate rights and interests of the doctors.