ABSTRACT
Bupleuri Radix is commonly used in the traditional Chinese medicine, and saikosaponins are the important active ingredients. In this study, we first established a relative quantitative method for 25 saikosaponins using ultra high performance liquid chromatography-triple quadrupole mass spectrometry (UHPLC-QTrap-MS) in the scheduled multiple reaction monitoring (sMRM) mode. The established method showed good intra-day and intra-day precision, linearity, repeatability and stability. Then the method was applied to compare 37 batches of Bupleuri Radix from different planting areas. The results showed that there was no significant difference in the saikosaponins composition of Bupleuri Radix from different planting areas in Shanxi Province, which indicating that Bupleuri Radix is well adapted to the environment, so it is suitable for widely planting. However, Bupleuri Radix harvested at spring and autumn were differed from those harvested at summer, which indicated that the traditional harvesting experience was reasonable. Correlation analysis showed that saikosaponins a and d were positively correlated with some saponins, and 4 saponins (such as clinoposaponin XII) showed bigger content variation were identified by coefficient of variation analysis. The LC-MS based pseudotargeted metabonomic method established in this study can be applied to the comprehensive detection of saikosaponins, which providing new method for the quality evaluation of Bupleuri Radix.
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Based on the UHPLC-Q-Exactive-MS metabonomics technology, the effect of Hippocampus kuda Bleeker on the life span of Drosophila melanogaster was studied, and the change rule of endogenous metabolites in the aging process of Drosophila melanogaster after the intervention of Hippocampus kuda Bleeker japonicus was explored to clarify the anti-aging mechanism of Hippocampus. The natural aging model of Drosophila melanogaster was used. Different doses of raw Hippocampus and fried Hippocampus were given to observe the effects on the life span, climbing ability, sexual activity, and antioxidant enzyme activity of Drosophila melanogaster. Based on UHPLC-Q-Exactive-MS metabolomics technology, the metabolic profile of the aging Drosophila melanogaster was analyzed using metabonomics technology to explore the mechanism of Hippocampus kuda Bleeker delaying the aging of Drosophila melanogaster. The results showed that raw Hippocampus and crispy Hippocampus (1, 4 mg·mL-1) could significantly prolong the average life span, median life span and maximum life span of male fruit flies, and significantly improve the climbing ability and sexual vitality of fruit flies. Catalase (CAT) and aldehyde content were increased, while malonaldehyde (MDA) content was decreased. Through metabonomics technology, it was identified that the Hippocampus can significantly recall 16 metabolites and participate in the biosynthesis of phenylalanine, tyrosine and tryptophan, starch and sucrose metabolism, tyrosine metabolism, cysteine and methionine metabolism, and histidine metabolism. The anti-aging mechanism is related to amino acid metabolism and sugar metabolism, which provides a substantial scientific basis for the development and utilization of Hippocampus and clarifying its role in senile diseases. The animal experiment of this study was approved by the Ethics Committee of Shanxi University (approval number: SXULL2021028).
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The purpose of this study was to systematically analyze the antidepressant mechanism of Chaigui granules from the perspective of biological metabolic network by using integrated metabolomics and biological network analysis tools. The model of chronic unpredictable mild stress (CUMS) depression rat was established, and LC-MS-based plasma metabolomics was used to identify the key metabolites and analyze metabolic pathways underlying the antidepressant effects of Chaigui Granules. The key metabolites regulated by Chaigui granules was integrated with biological network analysis tools to further focus on the key metabolic pathways and explore the potential targets of the antidepressant effect of Chaigui granules. The results showed that there were significant differences in the plasma levels of 20 metabolites in the model group compared with the control group (P < 0.05), Chaigui granules significantly regulated 12 metabolites including docosatrienoic acid, 3-hydroxybutyric acid, 4-hydroxybenzaldehyde, chenodeoxycholic acid, cholic acid, L-glutamine, glycocholic acid, linoleyl carnitine, L-tyrosine, N-acetylvaline, palmitoylcarnitine, arachidonic acid. Further network analysis of the key metabolites regulated by Chaigui granules indicated that plasma arachidonic acid metabolism might be the core pathway for the antidepressant effect of Chaigui granules, with 10 proteins were potential targets for the antidepressant effect of Chaigui granules, including CYP2B6, CYP2E1, CYP2C9, CYP2C8, PLA2G6, PTGS2, ALOX15B, PTGS1, ALOX12 and ALOX5. The animal experimental operations involved in this paper was followed the regulations of the Animal Ethics Committee of Shanxi University and passed the animal experimental ethical review (Approval No. SXULL2020028).
ABSTRACT
The antidepressant effect of Xiaoyaosan has been demonstrated. It is of value to explore the biological mechanism of Xiaoyaosan in the treatment of depression from the perspective of functional modules by using the method of functional module division of the metabolic network. The differential metabolites and related enzymes and proteins regulated by Xiaoyaosan were identified in the database. Pathway enrichment analysis and crosstalk pathway analysis of Xiaoyaosan regulated metabolites was carried out. A network of differentially regulated metabolites and their enzymes and proteins was constructed by using the STRING tool. The CNM decomposition algorithm was used to extract the functional modules of the network and enrichment analysis of functional modules was carried out. The results show that Xiaoyaosan regulates 97 differential metabolites, 234 related enzymes and 258 depression-related proteins. The pathways crosstalk analysis was divided into two sub-networks, one of which is related to the neural system and cell signal transduction, the other is related to the endocrine system and metabolic pathways. KEGG pathway enrichment analysis of the network and 9 functional modules extracted by the CNM algorithm shows that module 1 and module 3 belong to the pathways that can be enriched into more pathways with fewer proteins. The corresponding functions of these pathways include the endocrine system, amino acid metabolism, the nervous system and signal transduction. In this study, pathway crosstalk analysis and metabolic network module division strategies were used to explain the biological mechanism of Xiaoyaosan in the treatment of depression, providing ideas and methods for in-depth study of the pharmacological mechanism of this traditional Chinese medicine from the perspective of metabolic regulation.
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Circadian rhythm disorder is a common society issue caused by jet lag,shift work,sleep disruption and changes in food consumption. Light is the major factor affecting the circadian rhythm system. Disruption of the circadian rhythm system can cause damage to the body,leading to some diseases. Maintaining a normal circadian system is of great importance for good health. Ideal therapeutic effect can not only alleviate symptoms of the diseases,but also recovery the disturbed circadian rhythm to normal. The paper summarizes the modeling methods of animal circadian rhythm disorder,diseases of circadian rhythm abnormality,regulation of circadian clock genes and medicine which are related to circadian rhythm to diseases of circadian rhythm disorder.
Subject(s)
Animals , Humans , Circadian Rhythm/genetics , Jet Lag Syndrome/genetics , Sleep , Sleep Disorders, Circadian RhythmABSTRACT
This work investigates the effects of Guilingji (GLJ) on D-galactose-induced aging and changes in serum metabolites by UHPLC-Q exactive orbitrap-MS in rats. The rat model of aging by subcutaneous injection of D-galactose (300 mg·kg-1) was used to analyze the effect of different concentrations of GLJ (37.5, 75, 150 mg·kg-1) on an open field test in aging rats. Rat serum was collected after 8 weeks and subjected to LC-MS to analyze the anti-aging effect of GLJ. Animal experimentation was approved according to the Committee on the Ethics of Animal Experiments of Shanxi University (SXULL2014032). GLJ significantly improved the autonomous activity of rats. Compared with the control group, 23 metabolites in the treated group changed significantly, involving three main pathways. The group that was given GLJ had altered regulation of 4 serum metabolites in two pathways. Our results indicate that GLJ can delay aging behavior in rats; the mechanism of this anti-ageing effect remains to be determined.
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This study aimed to investigate the effect of the petroleum ether fraction of Xiaoyaosan (XY-A) in a rat depression model with consideration of an underlying mechanism based on gut microbiota and metabolomics. All procedures involving animal treatment were approved according to the Committee on the Ethics of Animal Experiments of Shanxi University. A rat model was established using the chronic unpredictable mild stress (CUMS) procedure and XY-A and venlafaxine (positive control) were used as intervention drugs. Sequencing of the 16S rRNA gene combined with LC-MS metabolomics was used to investigate the effects of XY-A on gut microbiota and metabolites in CUMS-induced depression, and Pearson correlation analysis was carried out on gut microbiota and metabolites. The results showed that XY-A significantly improved the depression-like behavior of CUMS rats and restored the level of brain-derived neurotrophic factor (BDNF) in the hippocampus. Gut microbiota analysis revealed that XY-A can increase the diversity of microbial species in CUMS rats and significantly restored the relative abundance of intestinal Rothia [Prevotella], with effects on intestinal inflammation and the production of short-chain fatty acids. Cecal content metabolomics identified twenty biomarkers that were altered by depression, whereas administration of XY-A ameliorated the changes in seventeen metabolites, with the most strongly affected metabolic pathways being linoleic acid metabolism, taurine and hypotaurine metabolism, primary bile acid biosynthesis, and arginine and proline metabolism. Correlation analysis further showed that there was a strong relationship between the gut microbiota and the cecal content metabolites. In summary, XY-A may exert antidepressant effects by regulating the composition of the gut microbiota and the metabolites and pathways of the cecum. The results provide a reference for the potential molecular mechanism of antidepressant action of XY-A.
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UPLC-Q-Orbitrap MS/MS and ICP-MS coupled with multivariate statistical analysis was employed to explore the differences in chemical compositions of Guilingji(GLJ) before and after alchemy.The changes in organic chemical compositions and inorganic elements were observed and 39 differential organic compositions were found in GLJ after alchemy, 24 compounds of which were identified. The differential compositions of GLJ included violet ketones, chalcones, amides, and fatty acids whose contents were increased after alchemy, as well as flavones, isoflavones, dihydroflavones, flavonoid glycosides, and coumarins whose content were decreased after alchemy. This study showed 6 inorganic elements filtered out as markers for distinguishing GLJ before and after alchemy, including B, Si, Mg, K, Cr, and Ni.The contents of Mg, K, Cr and Ni were increased while the contents of B and Si were decreased after alchemy.The difference of the contents after alchemy changed the cold and hot properties of the compound, showing the decrease of dryness, and the hot property was changed to warm and neutral properties; in addition, the membrane permeability and absorption of the compound compositions were improved. In this study, we preliminarily investigated the changes of chemical compositions in GLJ before and after alchemy as well as the effects of alchemy on physical and chemical properties and cold-heat nature of GLJ, laying a foundation for further clarifying the scientific connotation of alchemy process.
Subject(s)
Alchemy , Chromatography, High Pressure Liquid , Drugs, Chinese Herbal , Glycosides , Multivariate Analysis , Tandem Mass SpectrometryABSTRACT
This study analyzed the effect of the Radix Bupleuri-Radix Paeoniae Alba herb pair on endogenous metabolites in rats with chronic unpredictable mild stress (CUMS)-induced depression by using LC-MS liver metabolomics. Rats were randomly divided into 5 groups: a normal control group, a CUMS model group, a venlafaxine-positive group, and a high-low dose group for the Radix Bupleuri-Radix Paeoniae Alba herb pair, with continuous modeling and administration over 28 days. The efficacy of Radix Bupleuri-Radix Paeoniae Alba herb pair was evaluated by measuring traditional pharmacodynamic indicators of depression (body weight, open field test, sucrose preference test and forced swimming test). Animal experimentation was approved by the Committee on the Ethics of Animal Experiments of Shanxi University (SXULL2016036). Liver metabolic profiles were obtained by the UHPLC-Q Exactive Orbitrap-MS metabolomics technique. The results show that the Radix Bupleuri-Radix Paeoniae Alba herb pair can significantly decrease depression-like behavior of rats in the CUMS model group. Increases in 25 depression-related metabolites were identified by LC-MS metabonomics, and the Radix Bupleuri-Radix Paeoniae Alba herb pair could significantly decrease 16 of them. Metabolic pathway analysis showed that D-glutamine and D-glutamate metabolism, arginine and proline metabolism, alanine, aspartate and glutamate metabolism, and glutathione metabolism were the main metabolic pathways altered by this herb pair in CUMS model rats.
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@#Depression, a global disease with various pathogenic factors, is seriously affecting human physical and mental health. In Chinese traditional medical theory, the disease belongs to the category of "Yu Zheng". At present, on the one hand, adverse reactions to antidepressant western medicine are becoming more and more prominent. On the other hand, the study of their antidepressant active ingredients and compatibility mechanisms has become a difficult field in the traditional Chinese medicine compounds due to their complexity. The Chinese antidepressant herb-pairs has become a hot topic in the field of antidepressant research. Herb-pair is the core of traditional Chinese medicine compound. In addition, the compound itself is a herb-pair. The study of traditional Chinese antidepressant herb-pairs is more conducive to clarify the compatibility mechanism of herb interaction and the mechanism of antidepressants on the body.Therefore, this paper systematically expounds antidepressant herb-pairs from the study of material, pharmacokinetics and efficacy, which aims at providing theoretical support for the compatibility mechanism of antidepressant herb-pairs and the research of new antidepressant drugs.
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The flower bud of Tussilago farfara L. has been commonly used in the treatment of cough, bronchitis and asthmatic disorders in the Traditional Chinese Medicine. In Europe, the leaves were also used as herbal drugs with similar pharmacological activities. In order to utilize the leaves, it is important to conduct the chemical comparison between the flower buds and the leaves. In this study, ultra high liquid chromatography (UHPLC) coupled with Q Exactive high resolution mass spectrometry (HR-MS) was used to compare the chemical composition of the flower buds and leaves of T. farfara L. forty three metabolites were identified by the combination of targeted and untargeted approach. The results suggest that the sesquiterpenes, such as tussilagone and 7β-(3'-ethyl-cis-crotonoyloxy)-1α-(2'-methylbutyryloxy)-3(14)-dehydro-Z-notonipetranone were higher in the flower buds. While the phenylpropanoids, such as cholorgenic acid and isochlorogenic acid were higher in the leaves. The flavonoids, such as hyperin and quercetin exhibited no difference between the flower buds and leaves, while the rutin and kaempferol were higher in the flower buds. The leaves and flower buds had similar chemical components, and the phenylpropanoids, which were closely related with the antitussive and expectorant activities, were found at higher concentrations in the leaves. The results presented here laid the basis for the rational utilization of the leaves of T. farfara L.
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Depression is a complex heterogeneous psychiatric disorder with a potential to cause patient disability worldwide. In the past decades, a number of the first-line drugs (tricyclics, monoamine oxidase inhibitors, serotonin selective reuptake inhibitors, noradrenaline reuptake inhibitors, serotonin and noradrenaline reuptake inhibitors, etc.) had been discovered for the treatment of depression. CYP450 superfamily is involved in the biotransformation of antidepressants mainly through the CYP2D6, CYP2C19, CYP3A4 isoenzymes. Their genetic polymorphisms are closely related to clinical use and the interactions have been already identified between enzymes and antidepressants. This review focuses on drug metabolism and the interaction for CYP450 enzymes. The content may contribute to the development of antidepressant, improvement of the safety of antidepressants and the efficacy of treatment.
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The secondary metabolites of endophytic fungus Cerrena sp.A593 from Pogostemon cablin and their cytotoxic activities were investigated. Eight sesquiterpenoids were isolated from the fermentation broth of the strain A593 by silica gel, reverse phase silica gel, Sephadex LH-20, HPLC and so on. Their structures were identified as chloriolin B(1), chloriolin C(2), pleurocybellone A(3), dihydrohypnophilin(4), cucumin F(5), antrodin A(6), 10α-hydroxyamorphan-4-en-3-one(7), and connatusin A(8). Compounds 1- 8 were firstly found from the genus Cerrena. All isolated sesquiterpenoids were evaluated for in vitro cytotoxic activities against HepG-2, SF-268, MCF-7 and NCI-H460 tumor cell lines. Compounds 1-3 showed inhibitory activities against the four tumor cell lines with IC₅₀ values ranging from 20.33 to 63.13 μmol•L⁻¹.
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To establish quantitative methods for determination of polyacetylenes in Bupleuri Radix, an ultra-performance liquid chromatography method coupled with photodiode array detector (UPLC-PDA) was developed. The analysis was performed on a Waters BEH C₁₈ column (2.1 mm×100 mm, 1.7 μm) using a gradient system of methanol and water. The flow rate was 0.3 mL•min⁻¹ and the detection wavelength was 315 nm. Eight polyacetylenes were prepared using traditional extraction and isolation method, of which compounds 7 and 8 were two new polyacetylenes. All calibration curves showed good linearity (r>0.999 0) within the concentration range. Both the intra- and inter-day precisions for eight analytes were less than 1.9%, respectively, with the mean recovery at the range of 93.21%-108.4%. Meanwhile, 17 bupleurum samples were examined with this process. The results showed a variety either the chemotaxonomic or content of polyacetylenes. The method indicated good linearity, limit of detection and quantification, precision, accuracy and recovery. The developed method allows quantitative assessment and quality control of polyacetylenes, and might be a good alternative according to detection levels in polyacetylenes from Bupleurum Radix.
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In this study,the content of ethanol extraction of agarwood were performed following the method of Chinese Pharmacopoeia(ChP 2015 edition). The chromatographic fingerprints were established by GC-MS. Similarity Evaluation System for Chromatographic Fingerprint of traditional Chinese medicine（TCM）(version 2012) was employed to calculate the similarity of each chromatogram of agarwood. The ratios of sum peak area in the range of 170-270 min and 0-100 min of individual chromatogram were calculated using square peaks to normalization. AMDIS and RI were employed to identify the common and different peaks. Correlation coefficient P(corr) combined with Variable important in projection(VIP) value was employed to screen the different representative components based on OPLS-DA analysis. Grey related degree and TOPSIS were used to evaluate the quality of artificial agarwoods. The results showed that more than 10.0% of the ethanol extract content was found in 15 batches of artificial agarwoods among the total 18. The similarity of 18 batches artificial agarwoods was 0.439-0.779. The peak area ratios of two intervals were in the range of 0.307-13.254. The 9 common components and 8 different components were identified. Meanwhile, 2% salicylic acid is the best inducer based on grey related degree and TOPSIS. Grey related degree and TOPSIS can be used to evaluate the quality of artificial agarwoods rapidly. These results provide a reference data to evaluate the qualityof artificial agarwood.
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To research the differences and correlation between Scutellaria baicalensis about phenotypic traits of different strains, 10 aboveground traits and 6 root traits of S. baicalensis in two-year-transplanted plants from 14 different strains were compared respectively, and the SPSS 17.0 statistical software was used for data analysis. It showed that phenotypic traits variation of different S. baicalensis strains was rich and the F value ranged from 3.169 to 71.58. The difference was significant between each other and germplasm 15 performs the most outstanding characters. Correlation analysis showed that there existed a significant correlation between the characters except for lateral root number, root diameter and length. The correlation coefficient between the fresh weight of root and the reed head diameter was up to 0.877. Principal component analysis showed that the average of overall yield per plant and root diameter could be used as the comprehensive reference index for germplasm evaluation. The differences and correlations in phenotypic traits of different S. baicalensis strains, provide theoretical basis for distinguishing germplasm and breeding good varieties of S. baicalensis.
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The present study aims to predict the action targets of antidepressant active ingredients of Xiaoyaosan to understand the "multi-components, multi-targets and multi-pathways" mechanism. Using network pharmacology, the reported antidepressant active ingredients in Xiaoyaosan (saikosaponin A, saikosaponin C, saikosaponin D, ferulic acid, Z-ligustilide, atractylenolide I, atractylenolide II, atractylenolide III, paeoniflorin, albiflorin, liquiritin, glycyrrhizic acid and pachymic acid), were used to predict the targets of main active ingredients of Xiaoyaosan according to reversed pharmacophore matching method. The prediction was made via screening of the antidepressive drug targets approved by FDA in the DrugBank database and annotating the information of targets with the aid of MAS 3.0 biological molecular function software. The Cytoscape software was used to construct the Xiaoyaosan ingredients-targets-pathways network. The network analysis indicates that the active ingredients in Xiaoyaosan involve 25 targets in the energy metabolism-immune-signal transmutation relevant biological processes. The antidepressant effect of Xiaoyaosan reflects the features of traditional Chinese medicine in multi-components, multi-targets and multi-pathways. This research provides a scientific basis for elucidation of the antidepressant pharmacological mechanism of Xiaoyaosan.
Subject(s)
Antidepressive Agents , Pharmacology , Benzoates , Bridged-Ring Compounds , Coumaric Acids , Drug Evaluation, Preclinical , Drugs, Chinese Herbal , Pharmacology , Flavanones , Glucosides , Glycyrrhizic Acid , Lactones , Medicine, Chinese Traditional , Monoterpenes , Sesquiterpenes , SoftwareABSTRACT
To elucidate the anti-depressive effect of Fufang Chaigui prescription and its mechanism and investigate its effect on neuroendocrine hormone, rats were included into a chronic unpredictable mild stress (CUMS) model for 28 d, and drugs were administered at the same time. During the period, rats' behaviors were observed and the blood was collected by using ELISA to determine representative hormone concentrations of HPAA, HPTA and HPGA. The changes in endogenous metabolites were analyzed by using H NMR metabolomics to seek the potential biomarkers. Results showed Fufang Chaigui prescription could improve the behaviors of CUMS rats obviously, increase contents of ACTH, CORT, T₃and decrease contents of TSH and TESTO and regulate the levels of lactate, α-glucose, choline, N-acetylglycoprotein, trimethylamine oxide and leucine to get closer to the contents of control group. The results of correlation analysis indicated that HPTA was associated with glycometabolism, amino acid metabolism and choline metabolism. And HPAA was related to glycometabolism and amino acid metabolism. However, HPGA was only correlated with glycometabolism. In conclusion, Fufang Chaigui prescription could show an obvious anti-depressive effect and its underlying mechanism might involve regulations of neuroendocrine function and pathways of glycometabolism, amino acid metabolism and choline metabolism.
Subject(s)
Animals , Humans , Male , Rats , Antidepressive Agents , Behavior, Animal , Depression , Blood , Drug Therapy , Metabolism , Drugs, Chinese Herbal , Hormones , Metabolism , Metabolomics , Neurosecretory Systems , Metabolism , Rats, Sprague-Dawley , Serum , Chemistry , MetabolismABSTRACT
The aim of the paper is to observe the distribution of the endophytic fungi in leaves of Aquilaria sinensis by using permanent paraffin-cut section, optical microscope photography and histochemistry. Total DNA was extracted with modified CTAB method and rDNA ITS regions of plant and endophytic fungi were amplified with eukaryotic universal primers. The rDNA ITS amplicon was characterized by RFLP analysis, sequencing of rDNA ITS library and phylogenetic analyses using PAUP by maximum parsimony. Fusarium sp. A2 was used to induce the formation of resinous in A. sinensis trees. As a result, endophytic fungi mainly distributed in spongy and phloem in leaf. Endophytic fungi distributed in the phloem in agarwood-producing tree and had a relatively high abundance. Phoma sp. and Collectrotrichum sp. were the absolute advantage species in the leaf tissues of non-resinous and agarwood-producing tree, respectively. Collectrotrichum sp. was the only fungal species detected both in the two types of A. sinensis with different levels of abundance. The culture-independent molecular method can be used to identify fungal species directly and rapidly from the plant tissues. Endophytic fungal communities in non-resinous and agarwood-producing A. sinensis leaf tissues were quite different.
Subject(s)
Cluster Analysis , DNA, Fungal , Genetics , Endophytes , Classification , Genetics , Physiology , Fusarium , Classification , Genetics , Physiology , Phylogeny , Plant Leaves , Metabolism , Thymelaeaceae , Microbiology , Wood , Metabolism , MicrobiologyABSTRACT
To determine the optimum conditions of supercritical CO2 extraction of Xiaoyaosan, and establish its fingerprint by gas chromatography-mass spectrometry (GC-MS), the yield of extract were investigated, an orthogonal test was used to quantify the effects of extraction temperature, pressure, CO2 flow rate and time, and fingerprint analysis of different batches of extracts were by GC-MS. The optimal extraction conditions were determined as follows: extraction pressure 20 MPa, extraction temperature 50 degrees C, CO2 flow rate 25 kg x h(-1), extraction time 3 h, and average yield 2.2%. The GC-MS fingerprint was established and 27 common peaks were found, whose contents add up to 81.89% of the total peak area. Among them, 21 compounds were identified, accounting for 53.20% of the total extract. The extraction process is reasonable and favorable for industrial production. The GC-MS method is accurate, reliable, reproducible, and can be used for quality control of supercritical CO2 extract from Xiaoyaosan.