User-friendly relative quantification procedure for gas chromatography/mass spectrometry-based plasma metabolome analysis.

RATIONALE: Recently, metabolome analysis has been applied to a variety of research fields, but differences between batches or facilities can cause discrepancies in the results of such analyses. To resolve these issues using comprehensive metabolome analysis, in which it is difficult to perform quantitative analyses of all detected metabolites, internal standard compounds are used to obtain relative metabolite levels. This study investigated gas chromatography/mass spectrometry-based plasma metabolome analysis methods that are superior to relative quantification using internal standard compounds. METHODS: In experiment I, four analyses were performed under different analytical conditions at one facility, and then the data from the four analyses were compared. In experiment II, the same samples were analyzed at three facilities, and then the data from the three facilities were compared. RESULTS: Regarding the relative values obtained through comparisons with the internal standard compound, differences in the analytical results were observed among the four analytical conditions in experiment I and among the three facilities in experiment II, and the differences observed among the three facilities (experiment II) were larger. When correction was performed using plasma as a quality control, which is the procedure suggested in this study, these differences were markedly ameliorated. CONCLUSION: The suggested procedure involves the analysis of a plasma standard as a quality control for each batch and the calculation of relative target plasma to quality-control plasma values for each metabolite. This is an easy and low-cost method and could be readily employed by researchers during comprehensive plasma metabolome analysis.

Effects of Helicobacter pylori on the glutathione-related pathway in gastric epithelial cells.

Virulence factors of Helicobacter pylori (H. pylori) are diverse, so various biological responses happen in a host infected with H. pylori. The aim of this study is to conduct the metabolomics-based evaluation on H. pylori infection. AGS human gastric carcinoma cells were infected with H. pylori strain 26695, and then the altered metabolite pathways in the infected AGS cells were analyzed by metabolomics. Metabolites related to the glutathione (GSH) cycle were downregulated by H. pylori infection. Next, we evaluated the effects of H. pylori on the GSH-related pathway in AGS cells infected with H. pylori isolated from patients with atrophic gastritis (AG), duodenal ulcer (DU) and gastric cancer (GC). We found that the declined degree of GSH levels and oxidative stress were greater in AGS cells infected with GC strains than DU and AG-derived strains. There were no significant differences in almost mRNA expressions of GSH-related factors among different clinical strains, but the protein expression of glutathione synthetase was lower in AGS cells infected with GC-derived strains than DU and AG-derived strains. Our data demonstrates that GC-derived H. pylori-induced oxidative stress in a host is stronger and GC-derived strains may have suppressive influences on the host's GSH-related defense systems.

Adrenic acid induces oxidative stress in hepatocytes.

Adrenic acid (ADA), which is an endogenously synthesized polyunsaturated free fatty acid, was significantly increased in nonalcoholic fatty liver disease (NAFLD) patients and NAFLD-model mice compared with the corresponding controls in our previous study. To elucidate the involvement of ADA in NAFLD and nonalcoholic steatohepatitis (NASH), we examined ADA-induced lipotoxicity in human hepatocarcinoma HepG2 cells. The ROS production in HepG2 cells was increased by exposure to ADA. It was also shown that the treatment with ADA decreased cell viability in a dose-dependent manner. The N-Acetyl-L-Cysteine pretreatment counteracted this ADA-induced ROS production and cell death. Furthermore, ADA modulated the expressions of SOD2, HO-1 and Gpx1 as antioxidant enzymes. These findings suggest that ADA could induce oxidative stress accompanied by cell death, providing new insights into lipotoxicity that is involved in the pathogenesis of NAFLD and NASH.

Comparative proteomics of Helicobacter pylori strains reveals geographical features rather than genomic variations.

Helicobacter pylori, a pathogen of various gastric diseases, has many genome sequence variants. Thus, the pathogenesis and infection mechanisms of the H. pylori-driven gastric diseases have not been elucidated. Here, we carried out a large-scale proteome analysis to profile the heterogeneity of the proteome expression of 7 H. pylori strains by using an LC/MS/MS-based proteomics approach combined with a customized database consisting of nonredundant tryptic peptide sequences derived from full genome sequences of 52 H. pylori strains. The nonredundant peptide database enabled us to identify more peptides in the database search of MS/MS data compared with a simply merged protein database. Using this approach, we carried out proteome analysis of genome-unknown strains of H. pylori at as large a scale as genome-known ones. Clustering of the H. pylori strains using proteome profiling slightly differed from the genome profiling and more clearly divided the strains into two groups based on the isolated area. Furthermore, we identified phosphorylated proteins and sites of the H. pylori strains and obtained the phosphorylation motifs located in the N-terminus that are commonly observed in bacteria.

Increased Levels of Branched-Chain Amino Acid Associated With Increased Risk of Pancreatic Cancer in a Prospective Case-Control Study of a Large Cohort.

BACKGROUND & AIMS: A marker is needed to identify individuals at risk for pancreatic cancer. Increases in branched-chain amino acids (BCAAs) have been associated with pancreatic cancer. We performed a prospective case-control study to study the association between plasma BCAA levels and risk of pancreatic cancer in a large cohort. METHODS: We conducted a nested case-control study selected from 30,239 eligible participants 40-69 years old within the Japan Public Health Center-based prospective study. Over 16.4 years, 170 newly diagnosed pancreatic cancer cases were identified. Each case was matched to 2 controls by age, gender, geographic area, and fasting time at blood collection. Adjusted odds ratios (ORs) and 95% confidence intervals (CIs) for pancreatic cancer were calculated using conditional logistic regression models with adjustment for potential confounding factors. RESULTS: Increased plasma BCAA levels at baseline were associated with an increased risk of pancreatic cancer. Compared with the lowest quartile of BCAA levels, the OR in the highest quartile was 2.43 (95% CI 1.21-4.90), and the OR per 1 SD increase in BCAA levels was 1.32 (95% CI 1.05-1.67). The association was especially strong for cases with blood samples collected at least 10 years before cancer diagnosis (OR per SD 1.60, 95% CI 1.10-2.32) compared with those detected less than 10 years before diagnosis (OR per SD 1.16, 95% CI 0.86-1.57). CONCLUSIONS: In an analysis of data from the Japan Public Health Center-based prospective study, we found an association between increased plasma BCAA level and increased risk of pancreatic cancer-particularly when the increase in BCAAs was observed at least 10 years before diagnosis. These findings add to the growing body of evidence for the association between BCAA levels and pancreatic cancer risk.

ß-hydroxybutyrate protects hepatocytes against endoplasmic reticulum stress in a sirtuin 1-independent manner.

ß-hydroxybutyrate (BHB), a major ketone body in mammals, is produced from fatty acids through mitochondrial fatty acid oxidation in hepatocytes. To elucidate the role of BHB in the hepatic endoplasmic reticulum (ER), we examined the effects of BHB on hepatic ER stress induced by tunicamycin. In mouse hepatoma Hepa1c1c7 cells, BHB treatment suppressed the protein expression of ER stress responsive genes and increased cell viability, while reducing the protein expression of apoptosis inducible genes, without causing any alterations in the protein expression of sirtuin 1 (SIRT1) or the phosphorylation of AMP-activated protein kinase. The intraperitoneal administration of BHB also reduced the protein expression of ER stress responsive genes in mouse livers. In human hepatoma HepG2 cells, the protein expression levels of ER stress responsive genes were increased by the partial inhibition of BHB production with siRNA targeting endogenous 3-hydroxy-3-methylglutaryl coenzyme A (HMG-CoA) lyase, whereas they were decreased by promoting BHB production with fenofibrate. These findings revealed that BHB helps to suppress hepatic ER stress via a SIRT1-independent pathway, and it might be possible to manipulate ER stress by regulating BHB production genetically or pharmacologically.

Metabolome analysis for pancreatic cancer risk in nested case-control study: Japan Public Health Center-based prospective Study.

Discovery of a high-risk group for pancreatic cancer is important for prevention of pancreatic cancer. The present study was conducted as a nested case-control study including 170 pancreatic cancer cases and 340 matched controls of our population-based cohort study involving 30 239 subjects who answered a baseline questionnaire and supplied blood samples. Twelve targeted metabolites were quantitatively analyzed by gas chromatography/tandem mass spectrometry. Odds ratios (OR) and their corresponding 95% confidence intervals (CI) were calculated using conditional logistic regression models. Statistically significant P-value was defined as P < .05. Increasing 1,5-anhydro-d-glucitol (1,5-AG) levels were associated with a decreasing trend in pancreatic cancer risk (OR of quartile 4 [Q4], 0.50; 95% CI, 0.27-0.93; P = .02). Increasing methionine levels were also associated with an increasing trend of pancreatic cancer risk (OR of Q4, 1.79; 95% CI, 0.94-3.40: P = .03). Additional adjustment for potential confounders attenuated the observed associations of 1,5-AG and methionine (P for trend = .06 and .07, respectively). Comparing subjects diagnosed in the first 0-6 years, higher levels of 1,5-AG, asparagine, tyrosine and uric acid showed a decreasing trend for pancreatic cancer risk (P for trend = .04, .04, .04 and .02, respectively), even after adjustment for potential confounders. We found that the 12 target metabolites were not associated with pancreatic cancer risk. However, metabolic changes in the subjects diagnosed in the first 0-6 years showed a similar tendency to our previous reports. These results might suggest that these metabolites are useful for early detection but not for prediction of pancreatic cancer.

Serum apolipoprotein A2 isoforms in autoimmune pancreatitis.

Recently, apolipoprotein A2 (apoA2) isoforms have been reported as candidate serum/plasma biomarkers of pancreatic cancer. However, the distribution of apoA2 isoforms in patients with autoimmune pancreatitis (AIP) has not been investigated yet. In this study, we evaluated the distribution of serum apoA2 isoforms; i.e., homodimer apoA2-ATQ/ATQ, heterodimer apoA2-ATQ/AT, and homodimer apoA2-AT/AT, in AIP patients and healthy volunteers (HV) using enzyme-linked immunosorbent assays, and the clinical characteristics and serum levels of each apoA2 isoform in 32 AIP patients and 38 HV were investigated. The calculated apoA2-ATQ/AT levels of the AIP patients were significantly lower than those of the HV, which agreed with results obtained for patients with pancreatic cancer. Interestingly, most of the AIP patients exhibited high levels of apoA2-ATQ along with low levels of apoA2-AT, indicating that the processing of the C-terminal regions of apoA2 dimer was inhibited in the AIP patients. This specific distribution of serum apoA2 isoforms might provide important information about the disease states of AIP patients and aid the differential diagnosis of AIP versus pancreatic cancer.

Alterations in metabolic pathways in gastric epithelial cells infected with Helicobacter pylori.

Helicobacter pylori (H. pylori), which is a spiral-shaped Gram-negative microaerobic bacterium, is a causative pathogen. The entry of H. pylori into gastric epithelial cells involves various host signal transduction events, and its virulence factors can also cause a variety of biological responses. In this study, AGS human gastric carcinoma cells were infected with CagA-positive H. pylori strain ATCC43504, and then the metabolites in the AGS cells after the 2-, 6- and 12-h infections were analyzed by GC/MS-based metabolomic analysis. Among 67 metabolites detected, 11 metabolites were significantly altered by the H. pylori infection. The metabolite profiles of H. pylori-infected AGS cells were evaluated on the basis of metabolite pathways, and it was found that glycolysis, tricarboxylic acid (TCA) cycle, and amino acid metabolism displayed characteristic changes in the H. pylori-infected AGS cells. At 2 h post-infection, the levels of many metabolites related to TCA cycle and amino acid metabolism were lower in H. pylori-infected AGS cells than in the corresponding uninfected AGS cells. On the contrary, after 6-h and 12-h infections the levels of most of these metabolites were higher in the H. pylori-infected AGS cells than in the corresponding uninfected AGS cells. In addition, it was shown that the H. pylori infection might regulate the pathways related to isocitrate dehydrogenase and asparagine synthetase. These metabolite alterations in gastric epithelial cells might be involved in H. pylori-induced biological responses; thus, our findings are important for understanding H. pylori-related gastric diseases.

Alterations in Docosahexaenoic Acid-Related Lipid Cascades in Inflammatory Bowel Disease Model Mice.

BACKGROUND: Inflammatory bowel disease (IBD) is an intestinal disorder, involving chronic and relapsing inflammation of the digestive tract. Dysregulation of the immune system based on genetic, environmental, and other factors seems to be involved in the onset of IBD, but its exact pathogenesis remains unclear. Therefore, radical treatments for ulcerative colitis and Crohn's disease remain to be found, and IBD is considered to be a refractory disease. AIMS: The aim of this study is to obtain novel insights into IBD via metabolite profiling of interleukin (IL)-10 knockout mice (an IBD animal model that exhibits a dysregulated immune system). METHODS: In this study, the metabolites in the large intestine and plasma of IL-10 knockout mice were analyzed. In our analytical system, two kinds of analysis (gas chromatography/mass spectrometry and liquid chromatography/mass spectrometry) were used to detect a broader range of metabolites, including both hydrophilic and hydrophobic metabolites. In addition, an analysis of lipid mediators in the large intestine and ascites of IL-10 knockout mice was carried out. RESULTS: The levels of a variety of metabolites, including lipid mediators, were altered in IL-10 knockout mice. For example, high large intestinal and plasma levels of docosahexaenoic acid (DHA) were observed. In addition, arachidonic acid- and DHA-related lipid cascades were upregulated in the ascites of the IL-10 knockout mice. CONCLUSIONS: Our findings based on metabolite profiles including lipid mediators must contribute to development of researches about IBD.

[Possibility of Metabolite Biomarkers for Early Detection of Cancer].

Recently, the omics analysis, which comprehensively analyzed the biological molecules such as DNA, RNA, protein and low molecular weight metabolites, has been developed. The metabolome analysis that comprehensively analyzes low molecular weight metabolites is one of the most recent omics analysis, and attracts rising attention. Evaluating the metabolite alterations and clarifying the metabolite profiles in the body will lead to understandings of biological information, and the metabolome analysis has the potential of elucidation of novel pathological conditions and discovery of metabolite biomarkers. In this article, we explain the characteristics of the omics analysis. Regarding the metabolome analysis, its detailed explanations are carried out, and we also introduce our metabolite biomarker research about pancreatic cancer using the metabolome analysis.

Population Evolution of Helicobacter pylori through Diversification in DNA Methylation and Interstrain Sequence Homogenization.

Decoding of closely related genomes is now revealing the process of population evolution. In bacteria, population divergence appears associated with a unique set of sequence-specific epigenetic DNA methylation systems, often within restriction-modification (RM) systems. They might define a unique gene expression pattern and limit genetic flux between lineages in population divergence. We addressed the contribution of methylation systems to population diversification in panmictic bacterial species, Helicobacter pylori, which shows an interconnected population structure through frequent mutual recombination. We analyzed complete genome sequences of 28 strains collected in Fukui, Japan. Their nucleotide sequences are closely related although fine-scale analyses revealed two subgroups likely reflecting human subpopulations. Their sequences are tightly connected by homologous recombination. Our extensive analysis of RM systems revealed an extreme variability in DNA methyltransferases, especially in their target recognition domains. Their diversity was, however, not immediately related to the genome sequence diversity, except for very closely related strains. An interesting exception is a hybrid strain, which likely has conserved the methylation gene repertoire from one parent but diversified in sequence by massive acquisition of fragmentary DNA sequences from the other parent. Our results demonstrate how a bacterial population can be extremely divergent in epigenetics and yet homogenized in sequence.

Alterations in metabolic pathways in stomach of mice infected with Helicobacter pylori.

Numerous studies of Helicobacter pylori (H. pylori) have been performed, but few studies have evaluated the effects of H. pylori infections using metabolome analysis, which involves the comprehensive study of low molecular weight metabolites. In this study, the metabolites in the stomach tissue of mice that had been infected with H. pylori SS1 for 1, 3, or 6 months were analyzed, and then evaluations of various metabolic pathways were performed to gain novel understandings of H. pylori infections. As a result, it was found that the glycolytic pathway, the tricarboxylic acid cycle, and the choline pathway tended to be upregulated at 1 month after the H. pylori SS1 infection. The urea cycle tended to be downregulated at 6 months after the infection. High levels of some amino acids were observed in the stomach tissue of the H. pylori SS1-infected mice at 1 month after the infection, whereas low levels of many amino acids were detected at 3 and 6 months after the infection. These results suggest that H. pylori infection causes various metabolic alterations at lesional sites, and these alterations might be linked to the crosstalk between H. pylori and the host leading to transition of disease conditions.

Adrenic acid as an inflammation enhancer in non-alcoholic fatty liver disease.

BACKGROUND: This study was designed to identify novel links between lipid species and disease progression in non-alcoholic fatty liver disease (NAFLD). METHODS: We analyzed lipid species in the liver and plasma of db/db mice fed a choline-deficient l-amino acid-defined, high-fat diet (CDAHFD) using liquid chromatography/mass spectrometry (LC/MS). An in vitro experiment was performed using HepG2 cells stimulated with recombinant human TNFα or IL1ß. The expression of steatosis-, inflammation-, and fibrosis-related genes were analyzed. Plasma samples from NAFLD patients were also analyzed by LC/MS. RESULTS: The CDAHFD-fed db/db mice with hepatic steatosis, inflammation, mild fibrosis, obesity, and hypercholesterolemia displayed significantly higher hepatic and plasma levels of free adrenic acid (p < 0.05). The accumulated adrenic acid in the CDAHFD-fed db/db mice was associated with increased expression of ELOVL2 and 5, and the suppression of the acyl-CoA oxidase 1 gene during peroxisomal ß-oxidation. The pretreatment of HepG2 cells with adrenic acid enhanced their cytokine-induced cytokines and chemokines mRNA expression. In NAFLD patients, the group with the highest ALT levels exhibited higher plasma adrenic acid concentrations than the other ALT groups (p-value for trend <0.001). CONCLUSION: Data obtained demonstrated that adrenic acid accumulation contributes to disease progression in NAFLD.

Differences in elongation of very long chain fatty acids and fatty acid metabolism between triple-negative and hormone receptor-positive breast cancer.

BACKGROUND: Triple-negative breast cancer (TN) is more aggressive than other subtypes of breast cancer and has a lower survival rate. Furthermore, detailed biological information about the disease is lacking. This study investigated characteristics of metabolic pathways in TN. METHODS: We performed the metabolome analysis of 74 breast cancer tissues and the corresponding normal breast tissues using LC/MS. Furthermore, we classified the breast cancer tissues into ER-positive, PgR-positive, HER2-negative breast cancer (EP+H-) and TN, and then the differences in their metabolic pathways were investigated. The RT-PCR and immunostaining were carried out to examine the expression of ELOVL1, 2, 3, 4, 5, 6, and 7. RESULTS: We identified 142 of hydrophilic metabolites and 278 of hydrophobic lipid metabolites in breast tissues. We found the differences between breast cancer and normal breast tissues in choline metabolism, glutamine metabolism, lipid metabolism, and so on. Most characteristic of comparison between EP+H- and TN were differences in fatty acid metabolism was which were related to the elongation of very long chain fatty acids were detected between TN and EP+H-. Real-time RT-PCR showed that the mRNA expression levels of ELOVL1, 5, and 6 were significantly upregulated by 8.5-, 4.6- and 7.0-fold, respectively, in the TN tumors compared with their levels in the corresponding normal breast tissue samples. Similarly, the mRNA expression levels of ELOVL1, 5, and 6 were also significantly higher in the EP+H- tissues than in the corresponding normal breast tissues (by 4.9-, 3.4-, and 2.1-fold, respectively). The mRNA expression level of ELOVL6 was 2.6-fold higher in the TN tumors than in the EP+H- tumors. During immunostaining, the TN and EP+H- tumors demonstrated stronger ELOVL1 and 6 staining than the corresponding normal breast tissues, but ELOVL5 was not stained strongly in the TN or EP+H- tumors. Furthermore, the TN tumors exhibited stronger ELOVL1 and 6 staining than the EP+H- tumors. CONCLUSIONS: Marked differences in fatty acid metabolism pathways, including those related to ELOVL1 and 6, were detected between TN and EP+H-, and it was suggested that ELOVL1 and 6-related fatty acid metabolism pathways may be targets for therapies against TN.

Indigo Naturalis Ameliorates Oxazolone-Induced Dermatitis but Aggravates Colitis by Changing the Composition of Gut Microflora.

BACKGROUND: Indigo naturalis (IND) is an herbal medicine that has been used as an anti-inflammatory agent to treat diseases including dermatitis and inflammatory bowel disease in China. However, the mechanism by which IND exerts its immunomodulatory effect is not well understood. METHODS: A murine model of dermatitis and inflammatory bowel disease, both induced by oxazolone (OXA), was treated with IND. The severity of dermatitis was evaluated based on ear thickness measurements and histological scoring. The severity of colitis was evaluated by measuring body weight, histological scoring, and endoscopic scoring. The expression of inflammatory cytokines in ear and colon tissue was evaluated using real-time PCR. 16S rRNA DNA sequencing of feces from OXA-induced colitis mice was performed before and after IND treatment. The effects of IND on OXA-induced colitis were also evaluated after depleting the gut flora with antibiotics to test whether alteration of the gut flora by IND influenced the course of intestinal inflammation in this model. RESULTS: IND treatment ameliorated OXA dermatitis with a reduction in IL-4 and eosinophil recruitment. However, OXA colitis was significantly aggravated in spite of a reduction in intestinal IL-13, a pivotal cytokine in the induction of the colitis. It was found that IND dramatically altered the gut flora and IND no longer exacerbated colitis when colitis was induced after gut flora depletion. CONCLUSIONS: Our data suggest that IND could modify the inflammatory immune response in multiple ways, either directly (i.e., modification of the allergic immune cell activity) or indirectly (i.e., alteration of commensal compositions).

Use of on-line supercritical fluid extraction-supercritical fluid chromatography/tandem mass spectrometry to analyze disease biomarkers in dried serum spots compared with serum analysis using liquid chromatography/tandem mass spectrometry.

RATIONALE: The analytical stability and throughput of biomarker assays based on dried serum spots (DSS) are strongly dependent on the extraction process and determination method. In the present study, an on-line system based on supercritical fluid extraction-supercritical fluid chromatography coupled with tandem mass spectrometry (SFE-SFC/MS/MS) was established for analyzing the levels of disease biomarkers in DSS. METHODS: The chromatographic conditions were investigated using the ODS-EP, diol, and SIL-100A columns. Then, we optimized the SFE-SFC/MS/MS method using the diol column, focusing on candidate biomarkers of oral, colorectal, and pancreatic cancer that were identified using liquid chromatography (LC)/MS/MS. RESULTS: By using this system, four hydrophilic metabolites and 17 hydrophobic metabolites were simultaneously detected within 15 min. In an experiment involving clinical samples, PC 16:0-18:2/16:1-18:1 exhibited 93.8% sensitivity and 64.3% specificity, whereas PC 17:1-18:1/17:0-18:2 showed 81.3% sensitivity and 92.9% specificity for detecting oral cancer. In addition, assessments of the creatine levels demonstrated 92.3% sensitivity and 78.6% specificity for detecting colorectal cancer. CONCLUSIONS: The results of this study indicate that our method has great potential for clinical diagnosis and would be suitable for large-scale screening. Copyright © 2017 John Wiley & Sons, Ltd.

Postmortem interval estimation: a novel approach utilizing gas chromatography/mass spectrometry-based biochemical profiling.

While the molecular mechanisms underlying postmortem change have been exhaustively investigated, the establishment of an objective and reliable means for estimating postmortem interval (PMI) remains an elusive feat. In the present study, we exploit low molecular weight metabolites to estimate postmortem interval in mice. After sacrifice, serum and muscle samples were procured from C57BL/6J mice (n = 52) at seven predetermined postmortem intervals (0, 1, 3, 6, 12, 24, and 48 h). After extraction and isolation, low molecular weight metabolites were measured via gas chromatography/mass spectrometry (GC/MS) and examined via semi-quantification studies. Then, PMI prediction models were generated for each of the 175 and 163 metabolites identified in muscle and serum, respectively, using a non-linear least squares curve fitting program. A PMI estimation panel for muscle and serum was then erected which consisted of 17 (9.7%) and 14 (8.5%) of the best PMI biomarkers identified in muscle and serum profiles demonstrating statistically significant correlations between metabolite quantity and PMI. Using a single-blinded assessment, we carried out validation studies on the PMI estimation panels. Mean ± standard deviation for accuracy of muscle and serum PMI prediction panels was -0.27 ± 2.88 and -0.89 ± 2.31 h, respectively. Ultimately, these studies elucidate the utility of metabolomic profiling in PMI estimation and pave the path toward biochemical profiling studies involving human samples.

Catechins in tea suppress the activity of cytochrome P450 1A1 through the aryl hydrocarbon receptor activation pathway in rat livers.

Polycyclic aromatic hydrocarbons (PAHs) and halogenated aromatic hydrocarbons (HAHs) develop various adverse effects through activation of an aryl hydrocarbon receptor (AhR). The suppressive effects of brewed green tea and black tea on 3-methylcholanthrene (MC)-induced AhR activation and its downstream events were examined in the liver of rats. Ad-libitum drinking of green tea and black tea suppressed MC-induced AhR activation and elevation of ethoxyresorufin O-deethylase activity in the liver, whereas the teas themselves did not induce them. Tea showed a suppressive fashion on the expression of cytochrome P450 1A1 (CYP1A1). Tea suppressed the AhR activation induced by 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD) ex vivo. A part of catechins and theaflavins was present in plasma and liver as conjugated and intact forms. The results of this study suggested that active component(s) of tea are incorporated in the liver and suppress the activity of CYP1As through the AhR activation pathway.

[Gastroenterological Cancer Diagnosis by Metabolomics-Discovery of Pancreatic Cancer Biomarker].

The field of omics involves comprehensive investigations based on genomics, transcriptomics, proteomics, and metabolomics, and omics studies have developed rapidly. Metabolomics, metabolome analysis, involves technology to analyze the concentrations of low-molecular-weight metabolites comprehensively, and has recently rapidly developed along with improvements in analytical technology. Therefore, metabolome analysis is just beginning to be applied to not only food science and environmental research fields but also medical research. In the medical research field, especially, metabolome analysis plays an important role in novel disease biomarker discovery. The metabolome represents the endpoint of the omics cascade and, therefore, is considered to be closer to the phenotype. In addition, there is also a possibility that the metabolome is affected by exogenous factors such as environmental and food factors, as well as endogenous factors such as DNA/mRNA/protein. Therefore, metabolome analysis can be a useful approach for discovering effective biomarkers. Here, we explain the characteristics of metabolome analysis, and also outline metabolome analysis using a liquid chromatograph mass spectrometer (LC-MS), gas chromatograph mass spectrometer (GC-MS), capillary electrophoresis mass spectrometer (CE-MS), and matrix-assisted laser desorption ionization mass spectrometer (MALDI-MS). Then, we describe the findings of studies that used metabolome analysis in an attempt to discover biomarker candidates for pancreatic cancer, and discuss metabolome analysis-based disease diagnosis.