Exploring the mechanism of action of DHI on myeloproliferative neoplasms based on network pharmacology

Objective:The aim of this study is to explore the active ingredients and mechanism of action of danhong injection(DHI)in treating myeloproliferative neoplasms using network pharmacology.Methods:The TCMSP platform and relevant literature were used to search for the active ingredients and targets of Radix Salviae and Carthami Flos in DHI.Disease targets related to myeloproliferative neoplasms were obtained from the GEO database,GeneCards,and DisGeNET database.The queried component targets were normalized using the UniProt database.Potential targets were identified by constructing protein-protein interactions networks using STRING 11.5 and visualized and analyzed using Cytoscape 3.9.1.GO and KEGG analysis were performed using the Metascape platform,and visualization was done using the built-in plug-in CluoGO or SangerBox platforms with Cytoscape 3.9.1.Results:The active ingredients of DHI for treating myeloproliferative neoplasms mainly consist of flavonoids and o-benzoquinones,including quercetin,luteolin,kaempferol,stigmasterol,tanshinone iia,cryptotanshinone,beta-carotene,2-isopropyl-8-methylphenanthrene-3,4-dione,and neocryptotanshinone ii.The potential targets are JUN,TP53,STAT3,AKT1,MAPK1,RELA,TNF,MAPK14,IL6,and FOS.The relevant signaling pathways involved are mainly TNFαsignaling pathway,PI3K-Akt signaling pathway,apoptosis,IL-17 signaling pathway,cellular senescence,MAPK signaling pathway,p53 signaling pathway,JAK-STAT signaling pathway,and NF-kappa B signaling.Conclusions:DHI acts mainly through flavonoids and o-benzoquinones to treat myeloproliferative neoplasms in a multi-targeted and multi-pathway manner.

Structural Investigation of Technetium-Diphosphonate Complex 99mTc-MDP

Density functional theory method has been employed to investigate the structures of the prototypical technetium-labeled diphosphonate complex 99mTc-MDP, where MDP represents methylenediphosphonic acid. A total of 14 trial structures were generated by allowing for the geometric, conformational, charge, and spin isomerism. Based on the optimized structures and calculated energies at the B3LYP/LANL2DZ level, two stable isomers were determined for the title complex. And they were further studied systematically in comparison with the experimental structure. The basis sets 6-31G＊（LANL2DZ for Tc）, 6-31G＊（cc-pVDZ-pp for Tc）, and DGDZVP have also been employed in combination with the B3LYP functional to study the basis set effect on the geometries of isomers. The optimized structures agree well with the available experimental data, and the bond lengths are more sensitive to the basis set than the bond angles. The charge distributions were studied by the Mulliken population analysis and natural bond orbital analysis. The results reflect a significant ligand-to-metal electron donation.

Numerical prediction of effective wake field for a submarine based on a hybrid approach and an RBF interpolation

A hybrid approach coupled with a surface panel method for the propeller and a Reynolds averaged Navier-Stokes（RANS） model for the hull with the propeller body forces are presented for predicting the self-propulsion performance and the effective wake field of underwater vehicles. To achieve a high accuracy and simplicity, a radial basis function（RBF） based approach is proposed for mapping the force field from the blade surface panels to the RANS model. The effective wake field is evaluated in two ways, i.e., by extrapolation from the flat planes upstream of the propeller disk, and by direct computation in a curved surface upstream of and parallel to the blade leading edges. The hull-propeller system of a real propeller geometry is further simulated with the sliding mesh model to numerically verify the hybrid approach. Numerical simulations are conducted for the fully appended SUBOFF submarine model. The high accuracy of the RBF-based interpolation scheme is confirmed, and the effective wake fraction predicted by the hybrid approach is found consistent with that obtained by the sliding mesh model. The effective wake fractions predicted by the two methods are, respectively, 4.6% and 3% larger than the nominal one.