ABSTRACT
This paper aimed to explore the antidepressant effect of the essential oil from Schizonepeta tenuifolia Briq.(EOST) on the treatment of depression and its mechanism by using a combination of network pharmacology and the mouse model of lipopolysaccharide(LPS)-induced depression. The chemical components in EOST were identified using gas chromatography-mass spectrometer(GC-MS), and 12 active components were selected as the study objects. The targets related to EOST were obtained by Traditional Chinese Medicines Systems Pharmacology(TCMSP) and SwissTargetPrediction database. The targets related to depression were screened out through GeneCards, Therapeutic Target Database(TTD), and Online Mendelian Inheritance in Man(OMIM) database. The Venny 2.1 was applied to screen out the common targets of EOST and depression. The targets were imported into Cytoscape 3.7.2 to generate "drug-active component-diease-target" network diagram. The protein-protein interaction(PPI) network was constructed using STRING 11.5 database and Cytoscape 3.7.2, and the core targets were screened out. DAVID 6.8 database was used for Gene Ontology(GO) func-tional enrichment analysis and Kyoto Encyclopedia of Genes and Genomes(KEGG) pathway enrichment analysis, and subsequently the enrichment results were visualized through the bioinformatics platform. The mouse model of depression was induced by intraperitoneally injecting with LPS in mice. Before modeling, mice were administrated orally with EOST. The antidepressant effect of EOST was evalua-ted by tail suspension test(TST), forced swimming test(FST), and novelty suppressed feeding test(NSFT) after modeling. The content of interleukin(IL)-1ß was determined by enzyme-linked immunosorbent assay(ELISA), and the protein expression levels of IL-1ß and pro IL-1ß in the hippocampus were determined by Western blot. There were 12 main components and 179 targets in EOAT, of which, 116 targets were related to depression, mainly involved in neuroactive ligand-receptor interaction, calcium signaling pathway, and cyclic adenosine monophosphate(cAMP) signaling pathway. Biological processes such as synaptic signal transduction, G-protein coupled receptor signaling pathway, and chemical synaptic transmission were involved. Molecular functions such as neurotransmitter receptor activity, RNA polymerase â ¡ transcription factor activity, and heme binding were involved. In mice experiments, the results showed that EOST at 100 mg·kg~(-1) and 50 mg·kg~(-1) significantly shortened the immobility time in TST and FST as well as the feeding latency in NSFT compared with the model group, decreased the levels of serum IL-1ß and NO, and reduced the protein expression levels of IL-1ß and pro IL-1ß in the hippocampus. In conclusion, EOST shows a good antidepressant effect in a multi-component, multi-target, and multi-pathway manner. The mechanism may be attributed to the fact that EOST can down-regulate the protein expression levels of IL-1ß and pro IL-1ß, decrease the release of inflammatory factors, and reduce neuroinflammation response.
Subject(s)
Oils, Volatile , Animals , Mice , Depression , Lipopolysaccharides , Network Pharmacology , Databases, Genetic , Calcium Signaling , Disease Models, AnimalABSTRACT
A north-south transect was established in the saline-alkali land of Yellow River old course at Diaokou of northern Yellow River Delta, Shandong Province of East China to analyze the spatial distribution characteristics of soil nutrients and salinity and related affecting factors by using geostatistics method. In the study area, the nugget/still of soil organic matter, total nitrogen (TN), available phosphorus (AP), and available potassium (AK) contents and soil salinity were 0.38, 0.40, 0.50, 0.32, and 0.34, respectively, which demonstrated that these five parameters were moderately spatial dependence. The soil organic matter and TN contents in this transect had a similar distribution pattern, soil AK content was highly correlated to soil salinity, while soil AP content presented a fluctuated distribution. According to the comprehensive analysis of soil organic matter content and salinity, this transect was classified into three types, i.e., high salinity and low fertility, high salinity and high fertility, and low salinity and high fertility. The spatial distribution pattern of the five soil parameters was closed related to the soil parental material, land use pattern, distance to sea, and road block.