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Metabolomics technology played an important role in the field of biomedical research, such as disease diagnosis, pathogenesis analysis, drug target exploration, formulation of treatment guidelines, etc. Due to the systematic and holistic characteristics of metabolomics research, it has shown certain advantages in the analysis of the basis of pharmacodynamic substances of traditional Chinese medicines and the development of new medicines from traditional Chinese medicines. With the continuous innovation of metabolomics research, many advanced technologies have been developed, which make up for the shortcomings of conventional metabolomics studies in searching for disease targets, identifying functional compounds and interpreting biological significance. Furthermore, the rapid development of metabolomics technology has created new opportunities for the diagnosis of diseases and the development of new drugs in traditional Chinese medicine. Herein, different from conventional metabolomics techniques and methods, nine new metabolomics technologies with wide application prospects in the past 10 years were reviewed from the perspective of new tools, new ideas and new samples, with a view to providing new insights on relevant metabolomics research in the biomedical field and providing new motivation for innovation and development of metabolomics technologies.
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The whole herb of Solanum nigrum L. can be used as the herbal drug. In this study, UHPLC-Q Exactive high resolution mass combined with GNPS molecular network was used for the rapid characterization of the components in the leaves of S. nigrum L. A total of 157 compounds were identified, including 30 steroid alkaloids, 61 steroid saponins, 35 flavonoids, and 31 other compounds (amino acids and organic acids), by comparison with the data reported in the literature, and mass fragmentation characteristics analysis, as well as the correlation of known and unknown nodes in the GNPS molecular network. Compared with the fruits and stems, the leaves of S. nigrum L was rich in a variety of steroidal saponins, steroidal alkaloids, and flavonoids, and the results lay the foundation for the precise resources utilization of S. nigrum L.
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Dayuanyin (DYY) has been shown to reduce lung inflammation in both coronavirus disease 2019 (COVID-19) and lung injury. This experiment was designed to investigate the efficacy and mechanism of action of DYY against hypoxic pulmonary hypertension (HPH) and to evaluate the effect of DYY on the protection of lung function. Animal welfare and experimental procedures are approved and in accordance with the provision of the Animal Ethics Committee of the Institute of Materia Medica, Chinese Academy of Medical Science. Male C57/BL6J mice were randomly divided into 4 groups: control group, model group, DYY group (800 mg·kg-1), and positive control sildenafil group (100 mg·kg-1). The animals were given control solvents or drugs by gavage three days in advance. On day 4, the animals in the model group, DYY group and sildenafil group were kept in a hypoxic chamber containing 10% ± 0.5% oxygen, and the animals in the control group were kept in a normal environment, and the control solvent or drugs continued to be given continuously for 14 days. The right ventricular systolic pressure, right ventricular hypertrophy index, organ indices and other metrics were measured in the experimental endpoints. Meantime, the expression levels of the inflammatory factors in mice lung tissues were measured. The potential therapeutic targets of DYY on pulmonary hypertension were predicted using network pharmacology, the expression of nuclear factor kappa B (NF-κB) signaling pathway-related proteins were measured by Western blot assay. It was found that DYY significantly reduced the right ventricular systolic pressure, attenuated lung injury and decreased the expression of inflammatory factors in mice. It can also inhibit hypoxia-induced activation of NF-κB signaling pathway. DYY has a protective effect on lung function, as demonstrated by DYY has good efficacy in HPH, and preventive administration can slow down the disease progression, and its mechanism may be related to inhibit the activation of NF-κB and signal transducer and activator of transcription 3 (STAT3) by DYY.
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italic>Astragalus is a commonly used Chinese medicinal material in traditional Chinese medicine (TCM), and with the increase of planting area in recent years, the damage of Astragalus root rot has worsened year by year, which seriously affecting its quality and yield. Fusarium oxysporum is one of the main pathogens causing root rot in astragalus. In this study, UPLC-Q-TOF-MS based metabolomic approach combined with multivariate statistical analysis were used to analyze the metabolite changes of Astragalus in response to F. oxysporum infection. The results showed that 62 metabolites in the Astragalus had significant changes after inoculation of F. oxysporum. Polar metabolites included 40 flavonoids, 8 saponins, 2 nucleosides, 1 vitamin, 1 organic acid, 1 amino acid; while lipid metabolites included 3 fatty acids, 1 diradylglycerols, 2 lysophosphatidylcholine, 1 lysophosphatidylglycerol, 1 phosphatidylinositol, 1 sterol lipid. Among these differential metabolites, the relative content of flavonoids, vitamin B2, tryptophan and salicylic acid were increased, while the relative content of saponins were decreased. Correlation analysis showed that the flavonoids were positively correlated with each other, and positively correlated with most lipids, but negatively correlated with most saponins. In addition, studies have shown that F. oxysporum infection is not an influencing factor for the generation of malonyl substitution of flavonoid. This study elucidates the effect of F. oxysporum infection on Astragalus from the perspective of plant metabolism, which provides a basis for exploring the interaction mechanism between the Astragalus and F. oxysporum and further promoting molecular breeding.
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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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A UPLC-Q-Orbitrap-MS based metabolomic approach combined with biochemical assay and histopathological inspection were employed to study the intervention effects of Suanzaoren Decoction (SZRD) on chronic unpredictable mild stress (CUMS) depression rats, and to clarify the metabolic regulation pathway of SZRD. The rats were randomly divided into normal control group, CUMS model group, positive drug venlafaxine group, SZRD high (24 g·kg-1) and low (12 g·kg-1) dose groups, respectively. The CUMS model was replicated by subjecting to a variety of stimulus, such as thermal stimulation, ice water swimming, ultrasonic stimulation, tail clamping, day and night reversal, plantar electric shock and so on for rats. After oral administration of drugs for 28 days, the behavioral indexes of rats in each group were observed and the hippocampus and serum samples of rats were collected for biochemical assay and histopathological inspection. Compared with the CUMS model group, low dose and high dose SZRD groups can significantly reduce the immobility time of forced swimming (P < 0.001, P < 0.001), increase the sucrose preference rate (P < 0.01, P < 0.05), the number of crossings (P < 0.05, P < 0.01) and the number of uprights (P < 0.05, P < 0.01) in the open field test, suggesting that SZRD can significantly improve the depression-like behavior of CUMS model rats. In addition, SZRD could significantly reduce the levels of serum IL-6, IL-1β and TNF-α of CUMS model rats. A total of 21 differential metabolites in serum were identified by comparison with the data from the literature and databases. In addition, low-dose SZRD and high-dose SZRD improved the 8 and 11 perturbed potential serum biomarkers that were induced by CUMS, respectively, which related to alanine, aspartic acid and glutamic acid, tryptophan and arachidonic acid metabolism. This study provides a scientific basis for expanding the clinical indications of SZRD. This experiment was approved by the Animal Ethics Committee of Shanxi University (Approval No. SXULL2020028).
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The pharmacodynamic substance of traditional Chinese medicine (TCM) is an important basis for its mechanism and quality control, and also a key scientific issue for the inheritance and development of TCM. However, the complex characteristics of multi-component, multi-target and integrity of TCM, as well as the limitations of modern scientific research technical methods, have brought great challenges to the research. The interactions between Chinese medicine and intestinal flora provide us with a new idea. Based on the effective role of TCM and the hypothesis of correlation between intestinal flora and disease, the research on the material basis and mechanism of action of TCM based on intestinal metabolomics mostly explored the relationship between microflora and host phenotype, gradually deepening, and finally focused on the relationship between intestinal strains and molecular levels. This paper summarized the research ideas and key technologies of this model, in order to provide reference for the application of this model.
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The purpose of this study was to investigate the effects of ethanol extract of Scutellaria baicalensis Georgi (SGE) on endogenous metabolites in toes of rats with inflammatory pain induced by complete Freund's adjuvant (CFA) based on 1H NMR metabolomics, which would provide foundation for revealing the effects and mechanisms of SGE in improving inflammatory pain. This animal experiment was approved by the Committee on the Ethics of Animal Experiments of Shanxi University (SXULL2022062). The rats model of inflammatory pain was induced by subcutaneous injection of CFA (0.1 mL), and the effect of low, medium and high doses of SGE (1.5, 3, 6 g·kg-1) on inflammatory pain were explored. The effects of SGE on relieving inflammatory pain was evaluated by mechanical nociceptive thresholds (MNTs) test. Western blot was used to detect the effects of SGE on protein expression of cyclooxygenase-2 (COX-2), nuclear factor kappa-B (NF-κB) and phospho-NF-κB (p-NF-κB). 1H NMR metabolomics was used to analyze the regulatory effects of SGE on endogenous metabolites in the toes of rats with inflammatory pain. The results showed that SGE (6 g·kg-1) could significantly relieve CFA-induced inflammatory pain, and also notably inhibit the protein expression of COX-2, NF-κB and p-NF-κB. SGE could markedly reverse the changes of 8 differential metabolites, such as glycine, glutamine, succinate, phosphorylcholine, etc. The metabolites were involved in eight metabolic pathways, such as glycine, serine and threonine metabolism, alanine, aspartate and glutamate metabolism, glyoxylate and dicarboxylate metabolism, glutathione metabolism, glycerophospholipid metabolism. These results suggest that SGE may relieve inflammatory pain by regulating NF-κB signaling pathway and metabolic abnormality.
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Stable isotope tracer metabolomics tracks and analyzes the whole metabolic process of the body through the tracer atoms, which belongs to the frontier technology in the field of biomedicine. This technology is of great significance and value for explaining the pathogenesis of diseases, finding biomarkers of diseases and drug action targets. Taking the mechanism of glucose catabolism disorder in depression as an example, this paper systematically expounds the stable isotope tracer metabolomics technology and its application. The research idea of stable isotope tracer metabolomics based on unmarked metabolomics was put forward, and the research strategy of biological significance interpretation from four dimensions of metabolite isotope abundance, key metabolic enzymes, metabolic flow direction and metabolite flow was given, which broke through the bottleneck of stable isotope tracer metabolomics research technology based on overall animal experiment, and provided scientific basis for the promotion and application of this technology.
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By integrating plant metabonomics and target quantitative analysis methods, this study systematically analyzed the differences of chemical constituents in Scutellaria baicalensis leaves from different producing areas in Shanxi, so as to provide theoretical basis for rational and effective utilization of Scutellaria baicalensis leaves. Based on the idea of plant metabonomics, the liquid quality of 53 batches of Scutellaria baicalensis leaves from 8 different producing areas in Shanxi was analyzed by UPLC-QTOF-MS, and the collected data were imported into SIMCA 14.1 software for multivariate statistical analysis to screen the different chemical constituents among different habitats in Shanxi. Meanwhile, a method for simultaneous determination of 7 flavonoids and 3 organic acids in Scutellaria baicalensis leaves was optimized and established to quantitatively analyze the differences of chemical components in Scutellaria baicalensis leaves from different producing areas in Shanxi. The results of plant metabonomics showed that there were differences in the chemical composition of Scutellaria baicalensis leaves in northern Shanxi (Datong, Xinzhou), Jinzhong (Yangquan, Luliang) and southern Shanxi (Changzhi, Yuncheng, Jincheng, Linfen): there were 14 significant differences in chemical composition between northern Shanxi and Jinzhong; there were 18 significant differences in chemical constituents between southern Shanxi and central Shanxi. There were 15 significant differences in chemical constituents between northern Shanxi and southern Shanxi. Among them, scutellarin and isocarthamidin-7-O-glucuronide were the common differences among the three regions, and the content of scutellarin was the highest in southern Shanxi and the lowest in northern Shanxi. The content of isocarthamidin-7-O-glucuronide was the highest in Jinzhong area and the lowest in northern Shanxi area. Quantitative analysis further confirmed that the average contents of apigenin, naringenin and citric acid were the highest in northern Shanxi, scutellarin, caffeic acid, apigenin-7-O-glucuronide, malic acid and wogonoside were the highest in southern Shanxi, and wogonoside and baicalin were the highest in central Shanxi. This study is of great significance to the quality control of Scutellaria baicalensis leaf resources, and provides theoretical basis for rational and effective utilization of Scutellaria baicalensis leaf resources.
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The pathogenesis of the nephrotic syndrome is complex and the pathological types are diverse, so the minor symptoms in its early phases are difficult to detect. Renal biopsy is the gold indicator for the diagnosis of renal pathology and progression, but poor patient compliance shows, and the optimal treatment time is often delayed. Therefore, the discovery of biomarkers for early diagnosis and disease progression monitoring is of great clinical significance. In this study, doxorubicin-injured podocyte models were used to simulate human kidney disease at different stages of progression. LC-MS-based metabolomic technology combined with statistical methods was used to screen and identify the potential biomarkers associated with early injury or progression of podocytes. The results of cell viability, apoptosis tests and podocyte structural protein analysis showed that the model was successfully constructed, and the degree of podocyte injury was significantly different between the two modeling methods. According to VIP > 1 and P < 0.05 based on the orthogonal partial least squares discriminant analysis (OPLS-DA) model, nine differential metabolites reflecting early podocyte injury and twelve differential metabolites reflecting the injury progression were screened, respectively. ROC analysis was adopted to focus on the potential biomarkers that can reflecting the early podocyte injury including L-tryptophan, guanosine triphosphate (GTP), 5′-thymidylic acid (dTMP) and thymidine, and the biomarkers reflecting the injury progression of podocytes composed of L-phenylalanine, L-tyrosine acid, uridine 5′-diphosphate (UDP) and guanosine 5′-diphosphate (GDP) AUC > 0.85. It indicated that these eight metabolites may have high sensitivity and diagnostic ability. This study provides a reference for the research on biomarkers of progressive diseases.
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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 objective of this work was to evaluate the anti-fatigue efficacy of Astragali Radix (AR) from the Shanxi Hengshan area and to reveal possible mechanisms by which it relieves fatigue. Efficacy differences between Guangling (GL) and Hunyuan (HY) AR preparations were compared and evaluated, and an 1H NMR metabolomic technique combined with statistical methods was used to identify the metabolites in different groups of mouse gastrocnemius muscle tissues. The differential metabolites after AR treatments were identified according to VIP and P values and the upstream targets were predicted with the help of Metscape. Cytoscape software was utilized to construct a network map of AR potential anti-fatigue targets. Key differential metabolites were identified based on shared targets and entered into the Metaboanalyst website for pathway enrichment analysis, which led to the preliminary elucidation of the molecular mechanisms. The results showed that intervention with AR can significantly improve the swimming-to-exhaustion time, increase liver glycogen, and reduce urea-nitrogen levels in mice. The difference between GL and HY ARs was relatively small, indicating that the quality of AR produced in the Hengshan area is consistent and stable. The metabolic fingerprints of mouse gastrocnemius muscle tissue extracts were composed of 34 metabolites, and the statistical results showed that 19 differential metabolites were significantly reversed after the Hengshan AR intervention. We found that the anti-fatigue effects of AR in the Shanxi Hengshan area were mainly associated with taurine and hypotaurine metabolism through regulation of GAD1, based on network pharmacological analysis. In conclusion, 1H NMR metabolomic techniques were combined with network pharmacology to compare and evaluate the quality of Hengshan ARs, and further associate the fatigue relieve with the regulation of taurine metabolism. This provides a theoretical basis for the resource utilization of Hengshan ARs and the development of anti-fatigue-related products. The animal experiments in this study followed the regulations of the Animal Ethics Committee of Shanxi University and passed the ethical review of animal experiments (Approval No. SXULL2021028).
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The aim is to study the tissue distribution characteristics of eight effective components in normal rats after oral administration of Ziziphi Spinosae Semen (ZSS) aqueous extract. An ultra-performance liquid chromatography-quadrupole time-of-flight mass spectrometry (UPLC-Q-TOF-MS) analysis method was developed and validated for the determination of four flavonoids and four saponins in rat tissue using puerarin and ginsenoside Re as the internal standard (IS), respectively. Tissue samples including the heart, liver, spleen, lung, kidney, muscle, brain, small intestine, and serum, were collected from each rat at 0.5 h, 1.0 h, and 2.0 h after oral administration of ZSS aqueous extract (15 g·kg-1). All calibration curves exhibited good linearity (r > 0.994 6) over a wide concentration range for all components. The intra-day and inter-day precisions (RSD) at four different levels were both less than 19.77%, and the accuracies (RE) ranged from -19.68% to 19.46%; The extraction recoveries of the eight components ranged from 86.70% to 114.29%, and the matrix effects were from 82.14% to 114.57%. The validated method was successfully applied to the tissue distribution study of the eight components. The levels of swertisin, spinosin, 6‴-feruloylspinosin, and kaempferol-3-O-rutinoside in the small intestine were highest, then followed by the kidney, heart, and liver. Meanwhile, the levels of jujuboside A (JuA), jujuboside B (JuB), and jujuboside A1 (JuA1) in the small intestine were highest, then followed by the lung, spleen, and kidney. The concentrations of betulinic acid in the small intestine were higher than heart, lung, kidney, and liver. The flavonoids and saponins of ZSS with extremely low content could pass through the blood-brain barrier. The research results will provide an experimental basis for explaining the mechanism of nourishing the heart and tranquilizing the mind of ZSS. The animal experimental operations involved in this study followed the regulations of the Animal Ethics Committee of Shanxi University of Chinese Medicine and passed the animal experimental ethical review (No. 2021DW172).
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The aim of this study was to investigate the effect of baicalein on a Drosophila model of hereditary Parkinson's disease caused by gene mutations and to preliminarily elucidate the mechanism of baicalein in delaying hereditary Parkinson's disease. In this paper, PTEN-induced putative kinase 1 (PINK1)-RNAi Parkinson's Drosophila were used as the model group and wild-type Drosophila w1118 were used as the control group. Different doses of baicalein and Madopa were administered to the model group to observe their effects on the life span, motor ability, the abnormal rate of wings, dopamine content and dopaminergic neurons of PINK1-RNAi Parkinson's Drosophila and their effects on mitochondrial dysfunction including adenosine triphosphate (ATP), mitochondrial DNA (mtDNA) and reactive oxygen species (ROS) content. The results showed that the effective administration doses of baicalein were 0.8 mg·mL-1 for low concentration, 1.6 mg·mL-1 for medium concentration and 3.2 mg·mL-1 for high concentration, and the optimal administration dose of the positive drug Madopa was 0.1 μg·mL-1. Baicalein and Madopa could significantly improve the life span, exercise ability and reduce the abnormal rate of wings of PINK1-RNAi male Drosophila (P < 0.05), and low dose baicalein showed the best effect; baicalein could improve the loss of dopaminergic neurons, and the effects of low dose and high dose were the best, but Madopa showed no significant effect; baicalein and Madopa had no significant effect on dopamine content (P > 0.05). Baicalein and Madopa could increase the ATP content of PINK1-RNAi male Drosophila (P < 0.05), and low dose baicalein showed the best effect; middle dose baicalein could significantly increase the mtDNA content of PINK1-RNAi male Drosophila (P < 0.05), but Madopa had no significant effect; baicalein and Madopa had no significant effect on ROS content (P > 0.05).
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Ultra-performance liquid chromatography-quadrupole-time of flight mass spectrometry (UPLC-Q-TOF-MS/MS) coupled with a molecular network analysis strategy was used to identify the chemical constituents of the stem bark of two kinds of asparagus. The chemical constituents were identified by determining an accurate molecular weight, the fragmentation pathway, and comparison with the mass spectrometry data from the references. A molecular network was established based on the similarity of MS/MS fragmentation patterns. A total of 107 compounds were identified or tentatively deduced, which included 46 saponins, 13 flavonoids, and 48 other compounds. The chemical compounds identified in the stem bark of white and green asparagus differed greatly: the white asparagus was rich in saponins, while the green asparagus was rich in flavonoids. In conclusion, the chemical constituents of asparagus stem bark were characterized rapidly using UPLC-Q-TOF-MS/MS and molecular network analysis, with 10 compounds and 45 targets determined from the HIT 2.0 herbal ingredients' targets platform. This work will provide a theoretical basis for the resource utilization of asparagus.
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With the wide application of stable isotope tracer metabolomics technology, its comprehensive analysis and in-depth mining of data are particularly important, and metabolic flux analysis is one of the main technical means, especially in the study of glucose metabolism. Metabolic flux analysis technology combines isotope tracing with mathematical models to deduce and calculate the metabolic flux between metabolites. The metabolic flux provides more information for research and reflects a dynamic metabolic process more clearly and specifically. This paper reviews the basic process, precautions, and application examples of metabolic flux analysis in glucose metabolism research, and provides a reference for the application of metabolic flux analysis based on stable isotope tracer metabolomics in glucose metabolism research.
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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).
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Proton nuclear magnetic resonance (1H NMR) based metabolomics was applied to characterize the fecal metabolic profiles of chronic unpredictable mild stress (CUMS)-depression (CUMS-D) and CUMS-resilience (CUMS-R) rats. The fecal biomarkers and metabolic pathways involved in CUMS-D and CUMS-R were screened and identified, revealing the underlying mechanisms of two different responses of the body to the same stresses. Firstly, the classic depression model, i.e. CUMS, was constructed. According to the fecal metabolomics profiles, the model rats were divided into two groups, i.e. the CUMS-D group and the CUMS-R group. And then, the depression statuses of CUMS-D rats and CUMS-R rats were verified by their sucrose preference rates. Lastly, multivariate data analysis was applied to clarify the fecal biomarkers and corresponding metabolic pathways involving in CUMS-D and CUMS-R. The results show that compared with the control rats, the sucrose preference rates of CUMS-D rats were significantly reduced. By contrast, the sucrose preference rates of CUMS-R rats had no significant difference. At the same time, CUMS-D and CUMS-R showed both unique and shared biomarkers and pathways. Three pathways are significantly related to CUMS-D, including taurine and hypotaurine metabolism, alanine, aspartate and glutamate metabolism, and arginine and proline metabolism. Glycerolipid metabolism and tryptophan metabolism are specific pathways related to CUMS-R. This study explores the mechanisms of the emergence of susceptible and resilience of rats under the same stimulus from a metabolomics perspective. The current findings provide not only a new perspective for studying depression, and personalized and precision treatments in clinic, but also the research and development of antidepressants.
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This study identified the exact molecular mechanisms of baicalein on neuroinflammation in lipopolysaccharide (LPS)-induced BV-2 cells. Bioinformatics methods and molecular docking were integrated for predicting the potential targets and mechanisms of baicalein. Immunofluorescence staining and Western blot were used to analyze the predicted key targets [inducible nitric oxide synthase (iNOS), cyclooxygenase-2 (COX-2)], the expression level of protein related to signal transducer and activator of transcription 1/nuclear factor kappa-B (STAT1/NF-κB) signaling pathway and its upstream regulator NADPH oxidase-2 (NOX2), and then the mechanism of baicalein in alleviating neuroinflammation was explored. The results showed that iNOS and COX-2 were predicted as the key targets and NF-κB signaling pathway was one of the important pathways by bioinformatics methods and molecular docking. Experimental verification showed that baicalein could significantly reduce the expression of iNOS and COX-2, inhibit the phosphorylation of NF-κB and STAT1 and the production of NOX2 in LPS-induced BV-2 cells. To sum up, baicalein could effectively inhibit the inflammatory reaction in LPS-induced BV-2 cells through regulating NOX2 (gp91phox/p47phox)/STAT1/NF-κB pathway.