Baicalein Attenuates Neuroinflammation in LPS-Treated BV-2 Cells by Inhibiting Glycolysis via STAT3/c-Myc Pathway.

More and more evidence shows that metabolic reprogramming is closely related to the occurrence of AD. The metabolic conversion of oxidative phosphorylation into glycolysis will aggravate microglia-mediated inflammation. It has been demonstrated that baicalein could inhibit neuroinflammation in LPS-treated BV-2 microglial cells, but whether the anti-neuroinflammatory mechanisms of baicalein were related to glycolysis is unclear. Our results depicted that baicalein significantly inhibited the levels of nitric oxide (NO), interleukin-6 (IL-6), prostaglandin 2 (PGE2) and tumor necrosis factor (TNF-α) in LPS-treated BV-2 cells. 1H-NMR metabolomics analysis showed that baicalein decreased the levels of lactic acid and pyruvate, and significantly regulated glycolytic pathway. Further study revealed that baicalein significantly inhibited the activities of glycolysis-related enzymes including hexokinase (HK), 6-phosphate kinase (6-PFK), pyruvate kinase (PK), lactate dehydrogenase (LDH), and inhibited STAT3 phosphorylation and c-Myc expression. By using of STAT3 activator RO8191, we found that baicalein suppressed the increase of STAT3 phosphorylation and c-Myc expression triggered by RO8191, and inhibited the increased levels of 6-PFK, PK and LDH caused by RO8191. In conclusion, these results suggested that baicalein attenuated the neuroinflammation in LPS-treated BV-2 cells by inhibiting glycolysis through STAT3/c-Myc pathway.

Comprehensive Analysis Strategy of Nervous-Endocrine-Immune-Related Metabolites to Evaluate Arachidonic Acid as a Novel Diagnostic Biomarker in Depression.

Depression is one of the most complex multifactorial diseases affected by genetic and environmental factors. The molecular mechanism underlying depression remains largely unclear. To address this issue, a novel nervous-endocrine-immune (NEI) network module was used to find the metabolites and evaluate the diagnostic ability of patients with depression. During this process, metabolites were acquired from a professional depression metabolism database. Over-representation analysis was performed using IMPaLA. Then, the metabolite-metabolite interaction (MMI) network of the NEI system was used to select key metabolites. Finally, the receiver operating characteristic curve analysis was evaluated for the diagnostic ability of arachidonic acid. The results show that the numbers of the nervous system, endocrine system, and immune system pathways are 10, 19, and 12 and the numbers of metabolites are 38, 52, and 13, respectively. The selected shared metabolite-enriched pathways can be 97.56% of the NEI-related pathways. Arachidonic acid was extracted from the NEI system network by using an optimization formula and validated by in vivo experiments. It was indicated that the proposed model was good at screening arachidonic acid for the diagnosis of depression. This method provides reliable evidences and references for the diagnosis and mechanism research of other related diseases.

Bioinformatic prediction of critical genes and pathways involved in longevity in Drosophila melanogaster.

The pursuit of longevity has been the goal of humanity since ancient times. Genetic alterations have been demonstrated to affect lifespan. As increasing numbers of pro-longevity genes and anti-longevity genes have been discovered in Drosophila, screening for functionally important genes among the large number of genes has become difficult. The aim of the present study was to explore critical genes and pathways affecting longevity in Drosophila melanogaster. In this study, 168 genes associated with longevity in D. melanogaster were collected from the Human Ageing Genomic Resources (HAGR) database. Network clustering analysis, network topological analysis, and pathway analysis were integrated to identify key genes and pathways. Quantitative real-time PCR (qRT-PCR) was applied to verify the expression of genes in representative pathways and of predicted genes derived from the gene-gene sub-network. Our results revealed that six key pathways might be associated with longevity, including the longevity-regulating pathway, the peroxisome pathway, the mTOR-signalling pathway, the FOXO-signalling pathway, the AGE-RAGE-signalling pathway in diabetic complications, and the TGF-beta-signalling pathway. Moreover, the results revealed that six key genes in representative pathways, including Cat, Ry, S6k, Sod, Tor, and Tsc1, and the predicted genes Jra, Kay, and Rheb exhibited significant expression changes in ageing D. melanogaster strain w1118 compared to young ones. Overall, our results revealed that six pathways and six key genes might play pivotal roles in regulating longevity, and three interacting genes might be implicated in longevity. The results will not only provide new insight into the mechanisms of longevity, but also provide novel ideas for network-based approaches for longevity-related research.

Efficiency and mechanism of sorption of low concentration uranium in water by powdery aerobic activated sludge.

In this study, powdery aerobic activated sludge (PAAS) was first prepared, and the removal rate, sorption capacity and mechanism of sorption uranium on PAAS was investigated. Before and after sorption, the surface morphology and structure of PAAS were characterized systematically using the Fourier transform infrared spectrometer (FTIR), the X-ray photoelectron spectrometer (XPS), and the scanning electron microscope (SEM-EDX). In this work, the sorption mechanism and efficiency of uranium on the PAAS was study with static batch and ion exchange experiments, meanwhile, some influencing factors such as solution pH, contact temperature, adsorbent dose of PAAS and different initial uranium concentrations were studied. The batch sorption experiments illustrated that pH had a little effect in the process of sorption uranium on PAAS and it has a good removal capacity in a wide pH range (pH = 3-8). When the pH of solution was 7, the removal efficiency of about 93% for uranium when the initial concentration of uranium was 10 mg/L and the concentration of PAAS was 1  g/L. The XPS demonstrated that there are some active functional groups for instance carboxyl (-COOH), Hydroxyl (-OH), Amino (-NH2) and so on in the PAAS, and that all can combine with uranium. After sorption, there is an obviously U signal (marked in green) in the PAAS by charactering with the FE-SEM. In addition, kinetic parameters were fitted by the first-order kinetic (R2 = 0.9738) model and the second-order kinetic model (R2 = 0.9998), the pseudo-secondary kinetic model was better to illustrate the sorption process, so the chemical action was dominant, and existed physical sorption. The sorption isotherms date of PAAS was well-fitted to the Langmuir model (R2 = 0.9688). In the experiment of ion exchange, the concentration of Na+ in the solution hardly changed, the release of the other three ions was K+

[Advances in the study of the rat model of aging induced by D-galactose]

D-galactose (D-gal)-induced aging model is widely used in the study of the pharmacodynamics of antiaging drugs. The model has a shorter life-span, disorders in learning and memory, reduced immune function and other aging characteristics. Regular and quantitative injection of D-gal solution to rats can produce symptoms of natural aging models that are used in screening of antiaging drugs, and their pharmacological activities. This paper provides a summary of the mechanism of rat model induced with D-gal solution. The methods of building and evaluation of the aging models are provided. The theoretical basis is included to facilitate the subsequent research and experiment in the mechanism study of aging and antiaging medicines.

[Quantitative analysis of eight polyacetylenes derived from Bupleuri Radix by ultra-performance liquid chromatography coupled with photodiode array detector].

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.

[Baicalein prolongs the lifespan of Drosophila melanogaster through antioxidation activity].

In order to explore the anti-aging effect of baicalein, female Drosophila melanogaster as a model organism was used to study the effects of baicalein on natural aging model and aging models induced by hydrogen peroxide（H2O2） and paraquat. The bioinformatics approach was used to predict the possible target for the anti-aging activity of baicalein, and the target pathways were identified. The oxidative stress pathway was a focus in experiment. Baicalein at concentrations of 0.04 mg·m L-1 and 0.2 mg·m L-1 extended the mean and maximum lifespans in the natural aging model, and effectively reduced the damages of oxidative stress by H2O2 and paraquat. 31 senescence-related targets together with the oxidative stress pathway were modulated by baicalein. The experiments revealed that baicalein might delay aging process through attenuation of the oxidative stress response by decreasing the reactive oxygen species（ROS）, malondialdehyde（MDA） and oxidized glutathione（GSSG） in Drosophila melanogaster.

[Urinary metabolomics study of the effects of Scutellaria baicalensis Georgi ethanol extract on D-galactose-induced rats].

The purpose of this study is to evaluate the anti-aging effects and reveal the underlying mechanism of Scutellaria baicalensis Georgi ethanol extract (SBG) in D-galactose-induced rats. Fifty rats were randomly divided into five groups: vehicle control group, D-galactose group, and D-galactose combined with 50, 100, 200 mg x kg(-1) SBG. A rat aging model was induced by injecting subcutaneously D-galactose (100 mg x kg(-1)) for ten weeks. At the tenth week, the locomotor activity (in open-field test) and the learning and memory abilities (in Morris water maze test) were examined respectively. The urine was collected using metabolic cages and analyzed by high-resolution 1H NMR spectroscopy combined with multivariate statistical analyses. The SBG at doses of 50, 100 and 200 mg x kg(-1) treatments groups could significantly ameliorate aging process in rats' cognitive performance. The 50, 100, 200 mg x kg(-1) SBG regulated citrate, pyruvate, lactate, trimethylamine (TMA), pantothenate, ß-hydroxybutyrate in urine favorably toward the control group. These biochemical changes are related to the disturbance in energy metabolism, glycometabolism and microbiome metabolism, which is helpful to further understanding the D-galactose induced aging rats and the therapeutic mechanism of SBG.

[An exploration in the action targets for antidepressant bioactive components of Xiaoyaosan based on network pharmacology].

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.

[Anti-depressive mechanism of Fufang Chaigui prescription based on neuroendocrine hormone and metabolomic correlation analysis].

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.

[Anti-depressant effect and mechanism of supercritical CO2 extract from Compound Chaigui Fang].

The tail suspension test (TST), forced swimming test (FST) and chronic unpredictable mild stress (CUMS) model were used to evaluate the anti-depressant effect of supercritical CO2 extract from Compound Chaigui Fang (FFCGF). A nuclear magnetic resonance (NMR)-based metabonomics combined with multivariate statistical analysis was performed to explore the mechanism of FFCGF. Rats were conducted by CUMS procedure for 28 days and drugs were administrated at the same time. The body weight, sucrose preference, crossings and rearings in open-field tests were evaluated and the urine was collected simultaneously. The metabonomic profiles of rats' urine were analyzed by NMR and potential biomarkers were searched by multivariate statistical analysis. The results showed that administration of FFCGF significantly decreasing the immobility time in FST and TST and improving rats' body weight, sucrose preference, crossings and rearings in CUMS, which were indication that the anti-depressant effect of FFCGF was abvious. Significant differences in the metabolic profile of the CUMS treated group and the control group were observed, which were consistent with the results of behavioral tests. Decreased levels of acetic acid, succinic acid, 2-oxidation glutaric acid and citric acid and increased glycine and pyruvic acid in urine were significantly affected by the CUMS procedure and the 6 biomarkers were reversed evidently after administration of FFCGF. These changes were suggestion that the anti-depressant mechanism of FFCGF was associated with energy metabolism, lipid metabolism and amino acid metabolism.

[Study on supercritical CO2 extraction of xiaoyaosan and its GC-MS fingerprint].

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.

An investigation of the antidepressant action of xiaoyaosan in rats using ultra performance liquid chromatography-mass spectrometry combined with metabonomics.

A rapid, highly sensitive, and selective method was applied in a non-invasive way to investigate the antidepressant action of Xiaoyaosan (XYS) using ultra performance liquid chromatography-mass spectrometry (UPLC-MS) and chemometrics. Many significantly altered metabolites were used to explain the mechanism. Venlafaxine HCl and fluoxetine HCl were used as chemical positive control drugs with a relatively clear mechanism of action to evaluate the efficiency and to predict the mechanism of action of XYS. Urine obtained from rats subjected to chronic unpredictable mild stress (CUMS) was analyzed by UPLC-MS. Distinct changes in the pattern of metabolites in the rat urine after CUMS production and drug intervention were observed using partial least squares-discriminant analysis. The results of behavioral tests and multivariate analysis showed that CUMS was successfully reproduced, and a moderate-dose XYS produced significant therapeutic effects in the rodent model, equivalent to those of the positive control drugs, venlafaxine HCl and fluoxetine HCl. Metabolites with significant changes induced by CUMS were identified, and 17 biomarker candidates for stress and drug intervention were identified. The therapeutic effect of XYS on depression may involve regulation of the dysfunctions of energy metabolism, amino acid metabolism, and gut microflora changes. Metabonomic methods are valuable tools for measuring efficacy and mechanisms of action in the study of traditional Chinese medicines.

Exploring the Mechanism of Arctium Lappa L. Leaves in the Treatment of Alzheimer's Disease Based on Chemical Profile, Network Pharmacology and Molecular Docking.

Alzheimer's Disease (AD) is an irreversible neurodegenerative disease, which urgently needs more effective treatment strategies. Arctium lappa L. leaf (burdock leaf) performs wide pharmacological activities, increasing evidence hinted that burdock leaves can ameliorate AD. This research aims to explore the bioactive ingredients and mechanisms of burdock leaves against AD by performing chemical profiles, network pharmacology, and molecular docking. 61 components are identified by liquid chromatography equipped with mass spectrometry. 792 targets of ingredients and 1661 AD-related genes are retrieved from public databases. Ten critical ingredients are identified from the topology analysis of the compound-target network. CytoNCA, AlzData database, and Aging Atlas database contribute to the foundation of 36 potential targets and four clinically significant targets (STAT3, RELA, MAPK8, and AR). The gene ontology (GO) analysis manifests that the included processes are close to the pathogenesis of AD. PI3K-Akt signaling pathway and AGE-RAGE signaling pathway may be important therapeutic mechanisms. Molecular docking results imply that network pharmacology results are reliable. Furthermore, the clinical meanings of core targets are also evaluated with the Gene Expression Omnibus (GEO) database. This research will provide research direction for the application of burdock leaves in the treatment of AD.

Urinary metabonomic study using a CUMS rat model of depression.

Chronic unpredictable mild stress (CUMS) is a well-validated model of depression. In this study, a urinary metabonomics method based on the NMR spectrometry was used to study the metabolic perturbation in CUMS-induced rat depression model. With pattern recognition analysis, a clear separation of CUMS rats and healthy controls was achieved, and nine endogenous metabolites contributing to the separation were identified. CUMS-treated rats were characterized by the increase of glycine, pyruvate, glutamine, and asparagines, as well as the decrease of 2-oxoglutarate, dimethylglycine, citrate, succinate, and acetate. The urinary biochemical changes related to the metabolic disturbance in CUMS induced depression, and the possible correlations with live qi stagnation in traditional Chinese medicine are discussed. The work shows that CUMS is a reliable model for studying depression, and the noninvasive urinary metabolomic method is a valuable tool to investigate the biochemical pertubations in depression as an early diagnostic means.

Chaigui granule exerts anti-depressant effects by regulating the synthesis of Estradiol and the downstream of CYP19A1-E2-ERKs signaling pathway in CUMS-induced depressed rats.

Background: There is a significant gender difference in the prevalence of depression. Recent studies have shown that estrogen plays a crucial role in depression. Therefore, studying the specific mechanism of estrogen's role in depression can provide new ideas to address the treatment of depression. Chaigui granule has been shown to have exact antidepressant efficacy, and the contents of saikosaponin (a, b1, b2, d) and paeoniflorin in Chaigui granule are about 0.737% and 0.641%, respectively. Some studies have found that they can improve depression-induced decrease in testosterone (T) levels (∼36.99% decrease compared to control). However, whether Chaigui granule can exert antidepressant efficacy by regulating estrogen is still unclear. This study aimed to elucidate the regulation of estrogen levels by Chaigui granule and the underlying mechanism of its anti-depressant effect. Methods: Eighty-four male Sprague-Dawley (SD) rats were modeled using a chronic unpredictable mild stress (CUMS) procedure. The administration method was traditional oral gavage administration, and behavioral indicators were used to evaluate the anti-depressant effect of Chaigui granule. Enzyme-linked immunosorbent assay (ELISA) was adopted to assess the modulating impact of Chaigui granule on sex hormones. Then, reverse transcription-quantitative PCR (RT-qPCR), and Western blot (WB) techniques were employed to detect extracellular regulated protein kinases (ERK) signaling-related molecules downstream of estradiol in the hippocampus tissue. Results: The administration of Chaigui granule significantly alleviated the desperate behavior of CUMS-induced depressed rats. According to the results, we found that Chaigui granule could upregulate the level of estradiol (E2) in the serum (∼46.56% increase compared to model) and hippocampus (∼26.03% increase compared to model) of CUMS rats and increase the levels of CYP19A1 gene and protein, which was the key enzyme regulating the synthesis of T into E2 in the hippocampus. Chaigui granule was also found to have a significant back-regulatory effect on the gene and protein levels of ERß, ERK1, and ERK2. Conclusion: Chaigui granule can increase the synthesis of E2 in the hippocampus of CUMS-induced depressed rats and further exert antidepressant effects by activating the CYP19A1-E2-ERKs signaling pathway.

Integrated network pharmacology and metabolomics to dissect the combination mechanisms of Bupleurum chinense DC-Paeonia lactiflora Pall herb pair for treating depression.

ETHNOPHARMACOLOGICAL RELEVANCE: The compatibility of Bupleurum chinense DC (Chaihu)-Paeonia lactiflora Pall (Baishao) is one of the most accepted herb pairs in traditional Chinese medicine (TCM) prescriptions for treating depression. However, the combination mechanisms of this herb pair for anti-depression remain unclear. MATERIALS AND METHODS: In this study, the combined effect of Chaihu-Baishao was evaluated by the chronic unpredictable mild stress (CUMS) rat model. Secondly, network pharmacology was constructed to dissect the united mechanisms. Based on the results of network pharmacology analysis, plasma metabolomics based on ultra-high-performance liquid chromatography combined with quadrupole time-of-flight mass spectrometry (UPLC-QTOF/MS) was performed to discover the collaborative effect on metabolite regulation. Furthermore, the targets from network pharmacology and the metabolites from metabolomics were jointly analyzed to select crucial metabolism pathways by MetaScape. Finally, the key metabolic enzymes and metabolites were experimentally validated by ELISA. RESULTS: The antidepressant effect of Chaihu-Baishao herb pair was significantly better than Chaihu or Baishao in sucrose preference test (SPT), open-field test (OFT), and forced swim test (FST). In network pharmacology, herb pair played synergetic effect through regulating shared pathways, such as MAPK signaling pathway and arachidonic acid metabolism, etc. Besides, by metabolomics, the herb pair improved more metabolites (14) than a single herb (10 & 9) and has a stronger regulation effect on metabolites. Correspondingly, herb pair adjusted more metabolism pathways (5) than individual herb (4 & 4). Furthermore, the arachidonic acid metabolism was selected as crucial metabolism pathways by a joint analysis of 199 targets and 14 metabolites. The results showed that herb pair regulated arachidonic acid metabolism by synergetic reducing the level of arachidonic acid, and inhibiting the enzyme activity of prostaglandin-endoperoxide synthase 1 (PTGS1) and prostaglandin-endoperoxide synthase 2 (PTGS2). CONCLUSIONS: This work provided an integrated strategy for revealing the combination mechanisms of Chaihu-Baishao herb pair for treating depression, and also a rational way for clarifying the composition rules of TCM.

Study of plasma metabolic profiling and biomarkers of chronic unpredictable mild stress rats based on gas chromatography/mass spectrometry.

A metabolomic investigation of chronic unpredictable mild stress (CUMS) rats was carried out. Plasma obtained from Sprague-Dawley (SD) rats treated by CUMS was analyzed using gas chromatography/mass spectrometry. Thirty-seven metabolites were identified among the detected compounds. Subsequent data analysis using the t test and principal component analysis (PCA) revealed significant metabolic changes in the rats' plasma after CUMS treatment. Clear separation between the model and control group was achieved, and the level of twelve metabolites, including amino acids, sugar, organic acids and fatty acids, were significantly different between plasma samples from the controls and CUMS group. These observations suggested that the depressed state may be associated with perturbation of amino acid metabolism, energy metabolism and glycometabolism. The study suggested that the metabolomics approach could be used as a potential powerful tool to investigate the biochemical change in certain physiopathological conditions, such as depression, as an early diagnostic means.

Baicalein protects PC12 cells from Aß25-35-induced cytotoxicity via inhibition of apoptosis and metabolic disorders.

AIMS: This study aimed to explore the protective effects and possible mechanisms of baicalein on Aß25-35-induced toxicity. MAIN METHODS: Thioflavin-T (Th-T) dye was used to determine the effects of baicalein on Aß25-35 aggregation in vitro. PC12 cells were stimulated with Aß25-35, then the effects of baicalein on apoptosis, mitochondrial membrane potential (MMP), adenosine triphosphate (ATP), mitochondrial respiratory complex I, reactive oxygen species (ROS) and nitric oxide (NO) levels were determined. Moreover, LC-MS metabolomics approach was used to detect metabolic changes induced by baicalein in Aß25-35-injured PC12 cells. KEY FINDINGS: The results showed that baicalein could inhibit the aggregation of Aß25-35 in vitro. Furthermore, pretreatment with baicalein significantly prevented Aß25-35-induced cell apoptosis, as manifested by increasing the levels of MMP, ATP and mitochondrial respiratory complex I, decreasing the contents of ROS and NO. LC-MS metabolomics revealed that baicalein can regulate 5 metabolites, mainly involving two metabolic pathways, arginine and proline metabolism, nicotinate and nicotinamide metabolism. SIGNIFICANCE: Our study revealed that baicalein has a protective effect on Aß25-35-induced neurotoxicity in PC12 cells, which may be related to inhibition of apoptosis and metabolic disorders.

The anti-aging effect of Scutellaria baicalensis Georgi flowers extract by regulating the glutamine-glutamate metabolic pathway in d-galactose induced aging rats.

Scutellaria baicalensis Georgi flowers is rich in flavonoids resources but not effectively exploited. This study aimed to investigate the anti-aging effects and potential mechanism of Scutellaria baicalensis Georgi flowers extract (SFE). The chemical components of the SFE were analyzed by UPLC-MS and the anti-aging effects of SFE were investigated in d-galactose (d-gal) induced aging rats by behavior examination and biochemical indexes, and the potential anti-aging mechanism of SFE were explored by 1H NMR-based liver metabolomics. Chemical composition research showed that 19 flavonoids were identified in SFE, and pharmacological research showed that SFE could significantly ameliorate spatial learning and memory ability. SFE could significantly regulate malondialdehyde (MDA), superoxide dismutase (SOD) and advanced glycation end products (AGEs). It also ameliorated the pathological abnormalities in liver. Additionally, anti-aging mechanism of SFE showed that total of 10 potential biomarkers were found by metabolomics techniques, which involved in 6 metabolic pathways. Among them, SFE could significantly increased the levels of d-glutamine and d-glutamate. Furthermore, the levels of glutamine and glutamate, and the levels of the key amino acids, enzymes and final product in the synthesis process of glutathione (GSH) were quantitatively determined in the liver by commercial kits and enzyme-linked immunosorbent assay. These results indicated that regulation of the glutamine-glutamate metabolic pathway is involved in the anti-aging effect of SFE in d-gal induced aging rats.