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.

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.

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.

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.

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.

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.

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+

Involvement of mitochondrial apoptotic pathway and MAPKs/NF-κ B inflammatory pathway in the neuroprotective effect of atractylenolide III in corticosterone-induced PC12 cells.

Atractylenolide III (ATL-III), a sesquiterpene compound isolated from Rhizoma Atractylodis Macrocephalae, has revealed a number of pharmacological properties including anti-inflammatory, anti-cancer activity, and neuroprotective effect. This study aimed to evaluate the cytoprotective efficiency and potential mechanisms of ATL-III on corticosterone injured rat phaeochromocytoma (PC12) cells. Our results demonstrate that ATL-III increases cell viability and reduces the release of lactate dehydrogenase (LDH). The results suggest that ATL-III protects PC12 cells from corticosterone-induced injury by inhibiting the intracellular Ca2+ overloading, inhibiting the mitochondrial apoptotic pathway and modulating the MAPK/NF-ΚB inflammatory pathways. These findings provide a novel insight into the molecular mechanism by which ATL-III protected the PC12 cells against corticosterone-induced injury for the first time. Our results provide the evidence that ATL-III may serve as a therapeutic agent in the treatment of depression.

Efficiency and mechanism of adsorption of low concentration uranium in water by extracellular polymeric substances.

Extracellular polymeric substances (EPS) of uranium adsorbent was first extracted from the aerobic activated sludge of municipal wastewater treatment plant as raw material. The structure and surface morphology of EPS was characterized by FTIR, SEM-EDX, 3D-EEM, and XPS. The 3D-EEM spectra of EPS revealed that there are Tryptophan-like protein and Humus which can adsorb uranium in the EPS. The results of XPS indicated that the EPS surface contained active functional groups (COOH,CONH2,-H2PO4,OH,NH2 and so on) which all react with uranium, and the C, N, O elements play an important role in the reaction. The static batch test was used to study the adsorption behavior of uranium on the EPS, and the effects of pH, dosage of EPS and initial concentration of the solution on the removal of uranium by EPS were investigated. The adsorption isotherm, thermodynamics and kinetic models were used to match the mechanism of the interaction between EPS and uranium. Batch adsorption experiments revealed that the pH value had a great influence on the adsorption effect of EPS, and the optimal solution pH for uranium adsorption was around 6.0 with the removal efficiency of uranium was about 93% in the condition of neutral. Freundlich (R2 ≈ 0.997) and Langmuir (R2 ≈ 0.9931) models can get a good fitting effect, indicating that the adsorption of uranium by EPS had both monolayer adsorption and multilayer adsorption. EPS and uranium were combined disorderly and ion exchange mechanism could be involved. In this study, the active groups on the surface of EPS were also involved in the chemisorption process of uranium adsorption. The maximum adsorption capacity of EPS by Langmuir fitting was 333.3 mg/g. We conclude EPS is a potential adsorbent for radionuclide treatment.

Metabolomics studies on corticosterone-induced PC12 cells: A strategy for evaluating an in vitro depression model and revealing the metabolic regulation mechanism.

There are three types of differentiated (un-, poorly- and well-differentiated) PC12 cells, which have been widely used as a model system for depression studies after the administration of corticosterone (CORT). In order to investigate the underlying metabolic profiles of CORT-induced PC12 cells and evaluate the suitable differentiated types of PC12 cells for use in depressive studies, proton nuclear magnetic resonance (1H NMR) metabolomics coupled with network analysis approaches were employed. The results showed that CORT induced metabolic alterations in PC12 cells. There were 8 and 13 common differential metabolites in intracellular and extracellular extracts, respectively, of the three types of differentiated PC12 cells in response to CORT treatment, and the perturbed metabolic pathways were involved in amino acid metabolism, glutathione metabolism, pyruvate metabolism and inositol phosphate metabolism. Eighteen protein targets of depression were identified from the five different metabolic pathways from metabolomics and network analysis among the three types of CORT-induced differentiated PC12 cells, and these proteins were all found in the pathways that were perturbed by CORT treatment of poorly-differentiated PC12 cells. These results may indicate that the metabolism of CORT-induced PC12 cells is similar to the pathogenesis of depression, and poorly-differentiated PC12 cells are the most suitable cells for depressive research among the distinct types of differentiated PC12 cells. Thus, an effective predicative strategy to evaluate the in vitro disease models could be referenced.

Uncovering the anticancer mechanism of Compound Kushen Injection against HCC by integrating quantitative analysis, network analysis and experimental validation.

Compound Kushen Injection (CKI) is a Traditional Chinese Medicine (TCM) preparation that has been clinically used in China to treat various types of solid tumours. Although several studies have revealed that CKI can inhibit the proliferation of hepatocellular carcinoma (HCC) cell lines, the active compounds, potential targets and pathways involved in these effects have not been systematically investigated. Here, we proposed a novel idea of "main active compound-based network pharmacology" to explore the anti-cancer mechanism of CKI. Our results showed that CKI significantly suppressed the proliferation and migration of SMMC-7721 cells. Four main active compounds of CKI (matrine, oxymatrine, sophoridine and N-methylcytisine) were confirmed by the integration of ultra-performance liquid chromatography/mass spectrometry (UPLC-MS) with cell proliferation assays. The potential targets and pathways involved in the anti-HCC effects of CKI were predicted by a network pharmacology approach, and some of the crucial proteins and pathways were further validated by western blotting and metabolomics approaches. Our results indicated that CKI exerted anti-HCC effects via the key targets MMP2, MYC, CASP3, and REG1A and the key pathways of glycometabolism and amino acid metabolism. These results provide insights into the mechanism of CKI by combining quantitative analysis of components, network pharmacology and experimental validation.

[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.

Metabonomics approach to assessing the metabolism variation and gender gap of Drosophila melanogaster in aging process.

Drosophila melanogaster is increasingly used for study aging mechanism and evaluating anti-aging drugs, but the changes of metabolites and differences of metabolites change between male and female during the aging process are not well known. Metabolomics technology, a massive information provider, has promoted the understanding of metabolic profile and overall changes of metabolites in organism. In this study, 1H NMR based metabonomics was employed to investigate the dynamic changes of metabolites in whole bodies of male and female Drosophila melanogaster at 3, 15, 30, 45days and to research the gender gap of metabolites changes in aging process. The results showed that the metabolic profile at different ages in both male and female Drosophila melanogaster were separated obviously by multivariate analysis. Besides, the variety track of metabolites between male and female Drosophila melanogaster were different, the change speed in female was significantly slow than that in male. In addition, the results showed 14 metabolites (including leucine, valine, alanine, methionine, cysteine, phenylalanine, glycine, glutamine, tyrosine, tryptophan and histidine, succinate, xanthine and DMA) were associated with aging and 7 metabolites (including leucine, valine, methionine, cysteine phenylalanine, succinate and DMA) were associated with gender gap in the aging process of Drosophila melanogaster. Corresponding metabolic mechanisms referenced to the KEGG database and literatures were discussed. This study demonstrate that metabolomics is promising as a valuable method not only to reveal metabolites that related to senescence, but also to help us understand differences between male and female flies in aging process.

Baicalein Exerts Beneficial Effects in d-Galactose-Induced Aging Rats Through Attenuation of Inflammation and Metabolic Dysfunction.

Baicalein is a flavonoid isolated from the roots of Scutellaria baicalensis Georgi. This study aimed to ascertain the effects and potential underlying mechanisms of baicalein in d-galactose (d-gal)-induced aging rat model by integration of behavior examination, biochemical detection, and 1H nuclear magnetic resonance (NMR)-based metabolomic approach. Our findings suggest that baicalein significantly attenuated memory decline in d-gal-induced aging model, as manifested by increasing recognition index in novel object recognition test, shortening latency time, and increasing platform crossings in Morris water maze test. Baicalein significantly inhibited the releases of inflammatory mediators such as nitric oxide, interleukin-6, interleukin-1 beta, and tumor necrosis factor-α in d-gal-induced aging model. Metabolomic study revealed that 10 endogenous metabolites in cerebral cortex were considered as potential biomarkers of baicalein for its protective effect. Further metabolic pathway analysis showed that the metabolic alterations were associated with alanine, aspartate and glutamate metabolism, glycine, serine and threonine metabolism, inositol phosphate metabolism, and energy metabolism. These data indicate that baicalein improves learning and memory dysfunction in d-gal-induced aging rats. This might be achieved through attenuation of inflammation and metabolic dysfunction.

Protective effect of isoliquiritin against corticosterone-induced neurotoxicity in PC12 cells.

Isoliquiritin, a flavonoid glycoside compound from licorice, possesses a broad spectrum of pharmacological activities including antioxidant, anti-inflammatory and anti-depression activities. However, the neuroprotective mechanisms of antidepressant effects remain unclear. In this study, the aim was to investigate the cytoprotective efficiency and potential mechanisms of isoliquiritin in corticosterone-damaged PC12 cells. The results of this study showed that pretreatment of PC12 cells with isoliquiritin significantly prevented corticosterone-induced cell apoptosis. In addition, isoliquiritin increased the activity of dismutase (SOD) and catalase (CAT), decreased the contents of reactive oxygen species (ROS) and malondialdehyde (MDA). These findings suggest that isoliquiritin provides protective action against corticosterone-induced cell damage by reducing oxidative stress. Furthermore, pretreatment with isoliquiritin reduced corticosterone-induced mitochondrial dysfunction by preventing mitochondrial membrane potential dissipation. Our findings indicate that isoliquiritin might exert its therapeutic effects via regulating mitochondrial dysfunction. Moreover, isoliquiritin strongly attenuated intracellular calcium ([Ca2+]i) overload and down-regulation of Bax, caspase-3 and cytochrome C (Cyt-C) protein expression, and up-regulation of Bcl protein expression. In conclusion, isoliquiritin has a cytoprotective effect on corticosterone-induced neurotoxicity in PC12 cells, which may be related to its antioxidant action, inhibition of [Ca2+]i overload and inhibition of the mitochondrial apoptotic pathway.

[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.

[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.

A GC-MS urinary quantitative metabolomics analysis in depressed patients treated with TCM formula of Xiaoyaosan.

Xiaoyaosan, one of the best-known traditional Chinese medicine prescriptions, has been widely used in China for the treatment of mental disorders such as depression. Although both clinical application and animal experiments indicate that Xiaoyaosan has an obvious antidepressant effect, the mechanism still remains unclarified, and there are few studies quantitatively measured the biomarkers of Xiaoyaosan treatment by metabolomics to determination. In this study, 25 depressed patients and 33 healthy volunteers were recruited. A GC-MS based metabolomics approach and the multivariate statistical methods were used for analyzing the urine metabolites of depressed patients before and after treatment compared with healthy controls. Then the biomakers through metabolomics determination were carried out the quantitative analysis. In total, 5 metabolites were identified as the potential diseased and therapeutic biomarkers of depression and Xiaoyaosan. Alanine, citrate and hippurate levels were significantly increased in the urine samples from depressed patients compared with healthy controls, while phenylalanie and tyrosine levels were significantly decreased. However, after Xiaoyaosan treatment for 6 weeks, phenylalanie and tyrosine levels were significantly increased (p<0.05) and alanine, citrate and hippurate levels significantly decreased (p<0.05). Xiaoyaosan has a good priority on the treatment of depression and the ability to adjust the neurotransmitters to obtain the best treated response and also could regulate the metabolism of amino acids and promote to produce energy meet the needs of the body.