• Title/Summary/Keyword: metabolites analysis

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1H NMR-based metabolomic study of Cornus officinalis from different geographical origin

  • Jung, Young-Ae;Jung, Young-Sang;Hwang, Geum-Sook
    • Journal of the Korean Magnetic Resonance Society
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    • v.15 no.2
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    • pp.90-103
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    • 2011
  • Cornus officinalis (Cornaceae) is primarily grown in Asian countries. The pericarp of C. officinalis (Corni Fructus) is a well-known traditional medicine with tonic, analgesic, and diuretic properties. We analyzed methanolic extracts of Corni Fructus (grown in Korea and China) by $^1H$ NMR spectroscopy. Metabolite profiling was performed to characterize the metabolic difference between different Corni Fructus origins (Korea or China). Principal components analysis revealed significant separation between Comus Fructus from different origins. The metabolites responsible for differences were identified using loading plots, coefficients plots, and variable influence on projection followed by t-tests. As a result, 16 metabolites were identified and quantified; tyrosine, acetate, sucrose, and malate differed the most between origins. These data suggest that NMR-based metabolomics can be used to identify differences between Corni Fructus samples obtained from different regions.

Induction of Secondary Metabolites by Virginiamycin Inducing Factor, Virginiae Butanolide C (Virginiamycin 생합성 유도인자 Virginiae butanolide C에 의한 2차 대사산물 생산의 유도)

  • 김현수;강선영
    • Microbiology and Biotechnology Letters
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    • v.22 no.5
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    • pp.459-466
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    • 1994
  • Virginiae butanolide C(VB-C) is one of the butyrolactone autoregulators, which triggers the production of virginiamycin in Streptomyces virginiae. Streptomyces longwoodensis was selected as a test strain to investigate new VB-C functions. When 100 ng/ml of the synthetic VB-C was added into the culture at 5 hour and 0 hour, the initial production time of antibiotics and a dark blue pigment were shortened by 4~6 hours and 2~4 hours, respectively. HPLC analysis revealed the production of several new antibiotics by VB-C addition. In the SDS-PAGE analysis of the total protein from mycelium several new protein bands showed up and the amounts of certain protein bands increased in the presense of VB-C. The existence of specific VB-C binding protein was confirmed from S. longwoodensis in relation to VB-C signal transduction. These results suggest that the VB-C might have an ability to induce the production of secondary metabolites in Streptomy- ces longwoodensis.

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Quantative Analysis of dextromethorphan, Carisoprodol and their metabolites in hair by GC/MS

  • Yang, Won-Kyung;Han, Eun-Young;Lee, Jae-Sin;Park, Yong-Hoon;Park, Hwa-Kyung;Lim, Mi-Ae;Chung, Hee-Sun
    • Proceedings of the PSK Conference
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    • 2003.10b
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    • pp.111.2-112
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    • 2003
  • Dextromethophan and carisoprodol have been abused to obtain a hallucination for longer than 10 years in Korea. Due to their seriousness of abuse liablility, recently government decided to control them as a psychotropic agents. As these are controlled, it is necessary for us to establish the analysis of these medicine and their metabolites in hair to prove the abuse of these drugs. This study is described for the determination of dextrometorphan and carisoprodol in hair. (omitted)

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Discrimination Model of Cultivation Area of Alismatis Rhizoma using a GC-MS-Based Metabolomics Approach (GC-MS 기반 대사체학 기법을 이용한 택사의 산지판별모델)

  • Leem, Jae-Yoon
    • YAKHAK HOEJI
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    • v.60 no.1
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    • pp.29-35
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    • 2016
  • Traditional Korean medicines may be managed more scientifically, through the development of logical criterion to verify their cultivation region. It contributes to advance the industry of traditional herbal medicines. Volatile compounds were obtained from 14 samples of domestic Taeksa and 30 samples of Chinese Taeksa by steam distillation. The metabolites were identified by NIST mass spectral library in the obtained gas chromatography/mass spectrometer (GC/MS) data of 35 training samples. The multivariate statistical analysis, such as Principal Component Analysis (PCA), Partial Least Squares Discriminant Analysis (PLS-DA), and Orthogonal Partial Least Squares Discriminant Analysis (OPLS-DA), were performed based on the qualitative and quantitative data. Finally trans-(2,3-diphenylcyclopropyl)methyl phenyl sulfoxide (47.265 min), 1,2,3,4-tetrahydro-1-phenyl-naphthalene (47.781 min), spiro[4-oxatricyclo[5.3.0.0.(2,6)]decan-3-one-5,2'-cyclohexane] (54.62 min), 6-[7-nitrobenzofurazan-4-yl]amino-morphinan-4,5-epoxy (54.86 min), p-hydroxynorephedrine (55.14 min) were determined as marker metabolites to verify candidates for the origin of Taeksa. The statistical model was well established to determine the origin of Taeksa. The cultivation areas of test samples, each 3 domestic and 6 Chinese Taeksa were predicted by the established OPLS-DA model and it was confirmed that all 9 samples were precisely classified.

Gas Chromatographic Analysis of Zipeprol in Blood (혈액중 지페프롤의 가스크로마토그래피에 의한 분석)

  • Yoo, Young-Chan;Chung, Hee-Sun;Kim, Eun-Mi
    • YAKHAK HOEJI
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    • v.36 no.3
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    • pp.191-198
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    • 1992
  • The abuse of zipeprol, an antitussive agent, is prevalent among young people. Ten fatal cases of zipeprol concentration in blood after its abuse had caused death are disscussed. GC equipped with TSD was used to quantify the drug in postmortem blood and GC/MS to identify the metabolites in urine after preliminary test. The calibration curve of zipeprol was linear (r = 0.998) and the recoveries of zipeprol 5, 10 and $20\;{\mu}g$ added to 1 ml postmortem blood were $97.2{\pm}3.9$, $92.5{\pm}3.9$ and $86.9{\pm}4.6%$ respectively. The blood zipeprol concentration varied 2.9 to $24.69\;{\mu}g/ml$ in 10 fatal cases. All the deaths were young adults with the age of 16-21. Three metabolites were identified in drug abuser's urine, 2-methoxy-2-phenyl ethylpiperazine, 2-hydroxy-3-methoxy-3-phenyl propylpiperazine and a demethylated zipeprol.

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Rapid Analysis of Major Putrefactive Metabolites by GC and GC/MSD (GC 및 GC/MSD를 이용한 주요 분변 부패산물 신속분석법)

  • 박규용;김민철;우강융;이나경;백현동
    • KSBB Journal
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    • v.18 no.1
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    • pp.74-77
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    • 2003
  • A simple, reproducible, and rapid gas chromatographic method for putrefactive metabolite determination in feces was developed. The method involves the direct injection of fecal supernatants into the gas chromatograph, without pretreatment. The mass spectra of these metabolites were obtained using an HP 5971 mass selective detector operated in electron impact (EI) ionization mode. This method produced sharp peaks and allowed the simultaneous determination of fecal putrefactive metabolites.

Metabolite analysis in the type 1 diabetic mouse model

  • Park, Sung Jean
    • Journal of the Korean Magnetic Resonance Society
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    • v.25 no.3
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    • pp.33-38
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    • 2021
  • Type 1 diabetes mellitus (T1DM) is caused by insufficient production of insulin, which is involved in carbohydrate metabolism. Type 2 diabetes mellitus (T2DM) has insulin resistance in which cells do not respond adequately to insulin. The purpose of this study was to estimate the characteristics of type 1 diabetes using streptozotocin-treated mice (STZ-mouse). The sera samples were collected from the models of hyperglycemic mouse and healthy mouse. Based on the pair-wise comparison, five metabolites were found to be noticeable: glucose, malonic acid, 3-hyroxybutyrate, methanol, and tryptophan. It was very natural glucose was upregulated in STZ-mouse. 3-hyroxybutyrate was also increased in the model. However, malonic acid, tryptophan, and methanol was downregulated in STZ-mouse. Several metabolites acetoacetate, acetone, alanine, arginine, asparagine, histidine, lysine, malate, methionine, ornithine, proline, propylene glycol, threonine, tyrosine, and urea tended to be varied in STZ-mouse while the statistical significance was not stratified for the variation. The multivariate model of PCA clearly showed the group separation between healthy control and STZ-mouse. The most significant metabolites that contributed the group separation included glucose, citrate, ascorbate, and lactate. Lactate did not show the statistical significance of change in t-test while it tends to down-regulated both in DNP and Diabetes.

NMR-based metabolomic profiling of the liver, serum, and urine of piglets treated with deoxynivalenol

  • Jeong, Jin Young;Kim, Min Seok;Jung, Hyun Jung;Kim, Min Ji;Lee, Hyun Jeong;Lee, Sung Dae
    • Korean Journal of Agricultural Science
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    • v.45 no.3
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    • pp.455-461
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    • 2018
  • Deoxynivalenol (DON), a Fusarium mycotoxin, causes health hazards for both humans and livestock. Therefore, the aim of this study was to investigate the metabolic profiles of the liver, serum, and urine of piglets fed DON using proton nuclear magnetic resonance ($^1H-NMR$) spectroscopy. The $^1H-NMR$ spectra of the liver, serum, and urine samples of the piglets provided with feed containing 8 mg DON/kg for 4 weeks were aligned and identified using the icoshift algorithm of MATLAB $R^2013b$. The data were analyzed by multivariate analysis and by MetaboAnalyst 4.0. The DON-treated groups exhibited discriminating metabolites in the three different sample types. Metabolic profiling by $^1H-NMR$ spectroscopy revealed potential metabolites including lactate, glucose, taurine, alanine, glycine, glutamate, creatine, and glutamine upon mycotoxin exposure (variable importance in the projection, VIP > 1). Forty-six metabolites selected from the principal component analysis (PCA) helped to predict sixty-five pathways in the DON-treated piglets using metabolite sets containing at least two compounds. The DON treatment catalyzed the citrate synthase reactions which led to an increase in the acetate and a decrease in the glucose concentrations. Therefore, our findings suggest that glyceraldehyde-3-phosphate dehydrogenase, citrate synthase, ATP synthase, and pyruvate carboxylase should be considered important in piglets fed DON contaminated feed. Metabolomics analysis could be a powerful method for the discovery of novel indicators underlying mycotoxin treatments.

Investigation of Germicide and Growth Enhancer Effects on Bean Sprout using NMR-based Metabolomics

  • Yoon, Dahye;Ma, Seohee;Choi, Hyeonsoo;Noh, Hyeonkyung;Ok, Youngjun;Kim, Suhkmann
    • Journal of the Korean Magnetic Resonance Society
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    • v.20 no.4
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    • pp.121-128
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    • 2016
  • Bean sprouts are often cultivated in the circumstances prevailing in the improper using of germicide and growth enhancer. The influence of ingestion those bean sprouts are unknown. The components of the bean sprouts are needed to evaluate for food safety. The extracts of the control, 0.5 g/L germicide, 1 g/L germicide, 12.5 mL/L growth enhancer and 25 mL/L growth enhancer were used to compare the components in the experiment. Nuclear Magnetic Resonance spectroscopy (NMR) was used to analyze the extracts. Statistical analysis of metabolomics showed significant changes between the control and head and the stem of the bean sprouts. Significant changes in metabolites were identified with the bean sprouts cultivated with germicide and growth enhancer by applying qualitative and quantitative analysis. Similar changes in the area of the bean sprouts were observed after treated to germicide and growth enhancer. Although treating germicide and growth enhancer showed no particular harmful metabolites changes to human, it made significant changes in the morphological and the metabolites of the bean sprouts. These changes indicate that the germicide and growth enhancer has substantially potential to influence the growth of the bean sprouts.