Uncaria rhynchophylla (Miq.) Miq. ex Havil is widely used in the treatment of hypertension. The Uncaria extract and its bioactives, rhynchophylline and isorhynchophylline, reduced the blood pressure and fatty content in liver cells. In the present study, the antihypertensive effects of Uncaria ethanol extract (UET), rhynchophylline (RT) and isorhynchophylline (IT) were investigated in spontaneously hypertensive rats (SHR) using UPLC-Q-Orbitrap/MS based lipidomics approach. Histological changes in the liver were evaluated. Cytolysis and fatty degeneration in the liver tissues were observed in the SHR group. Lipid species in WKY, SHR treated with UET, RT, and IT were plotted to obtain the Orthogonal Projections to Latent Structures Discriminant Analysis (OPLS-DA) score plots. Fifty-six endogenous metabolites in the liver such as glycerides, glycerophospholipids, unsaturated fatty acids, and sphingomyelins were selected as potential hypertension associated biomarkers. In order to further explore the metabolite targets of UET for antihypertensive, student's t test and correlation analysis were performed to recognize the pattern recognition and to select the significant metabolites. Similar and prolonged reduction in blood pressure was observed in all SHR groups treated with UET, RT, and IT, while the metabolite profiles were perturbed slightly compared to that of the untreated SHR. Further analysis showed that only a few common components were observed in both RT and IT, which showed similar antihypertensive effect in spite of the distinct metabolic pathways. These results help in understanding the mechanisms of isomeric ingredients in exhibiting the antihypertensive effect but with different targets.
As the proportion of electric energy in the world energy consumption increases year by year, the demand and usage of electrical equipment also increase. For a lot of electrical equipment management, the traditional management method is unable to get through data barriers that exist in the industrial chain; the information interaction between each link is more and more untimely, leading to a great increase of each link’s error rate. Not only reduces the safety of electrical equipment, but affects the response efficiency of other links when one link sends a request, lowers the quality of service. To solve this problem, this paper proposes the method of integrating the identity resolution system with blockchain technology to standardize the management of the whole industrial chain of electrical equipment. The data barriers between links are broken through the identity resolution system, and the blockchain technology is used to speed up the response of each link, and the key information is stored on the blockchain. This method carries out comprehensive management on the whole life cycle chain, conducts better standardized management on the field of electrical equipment in terms of intelligent trading, intelligent operation and maintenance, etc., and puts forward efficient management mode for the management of electrical equipment.
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