• The Journal of the Korea institute of electronic communication sciences
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• v.11 no.10
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• pp.969-982
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• 2016

Recently, the researches to discovery drug candidates from natural herbs have received considerable attention. In human body, enzyme mostly metabolize the compounds of natural herbs. In this study, we analysis the enzyme interactions using assoication mining. We get this data from BRENDA(: BRaunschweig ENzyme DAtabase) system. Based on enzyme interaction model, we divide the metabolites into substrate metabolites, product metabolites, inhibitor metabolites, and activating metabolites. We then compose substrate metabolite transaction, product metabolite transaction with each metabolites and enzyme interaction transaction with all metabolites. Also we take account of organism for each transactions. We mine frequent metabolites and patterns from six transactions using association rule mining. And we analysis the relationship among metabolites. As a result, we identify the distributions and patterns of metabolites consist in enzyme interactions. We found that metabolites include in only substrate are identified and have very low supports. This results can be useful to develop the effective metabolism prediction model for compounds of natural herbs.

• Journal of Microbiology and Biotechnology
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• v.22 no.1
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• pp.100-106
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• 2012

In this study, the metabolite profiles of three Aspergillus strains during rice koji fermentation were compared. In the partial least squares discriminant analysis-based gas chromatography-mass spectrometry data sets, the metabolite patterns of A. oryzae (KCCM 60345) were clearly distinguished from A. kawachii (KCCM 60552) and only marginal differences were observed for A. oryzae (KCCM 60551) fermentation. In the 2 days fermentation samples, the overall metabolite levels of A. oryzae (KCCM 60345) were similar to the A. oryzae (KCCM 60551) levels and lower than the A. kawachii (KCCM 60552) levels. In addition, we identified discriminators that were mainly contributing tyrosinase inhibition (kojic acid) and antioxidant activities (pyranonigrin A) in A. oryzae (KCCM 60345) and A. kawachii (KCCM 60552) inoculated rice koji, respectively. In this study, we demonstrated that the optimal inoculant Aspergillus strains and fermentation time for functional rice koji could be determined through a metabolomics approach with bioactivity correlations.

• Biomolecules & Therapeutics
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• v.6 no.3
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• pp.283-288
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• 1998

YH 1885 (5,6-dimethyl -2-(4-fluorophenylamino)-4-(1-methyl -1,2,3,4-tetrahydroisoquinolin -2- yl) pyrimidine hydrochloride) was developed as an antiulcer drug. The objective of this study was to examine a comparative metabolism of YH1885 in rat, dog, monkey and human liver tissues and to determine the metabolite profiles produced by the four species. YH1885 was metabolized by liver 59 fractions from all four species. Control incubations containing 59 fraction but no cofactors, contained essentially no metabolites. Metabolism of YH1885 apparently became saturated in the concentration range studied because the % of YH 1885 metabolized decreased with increasing drug concentration for all four species. Six to nine metabolite peaks were detected in the incubations and the particular profile of metabolites varied with species. The total amount of metabolites formed by liver microsomes from human and monkey were less than microsomes from rat or dog. The major metabolite peak formed by rat liver 597actions fluted near the solvent front on the HPLC or remained at the origin in TLC, indicating that it contained one or more polar metabolites. Dog liver 59 fractions incubations contained four major metabolites that each accounted for about 15 to 20 % of the total radioactivity at the low concentration of YH1885. The metabolite profiles of YH1885 appeared to be similar in incubations with rhesus monkey and human liver 59 fraction. The amount of metabolites formed by rhesus monkey liver preparations was greater than that of human liver that contained prominent metabolite peaks with approximate relative retention time of 0.14 and 0.43.

• Microbiology and Biotechnology Letters
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• v.38 no.4
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• pp.475-480
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• 2010

Actinomycetes are Gram-positive soil bacteria and one of the most important industrial microorganisms due to superior biosynthetic capabilities of many valuable secondary metabolites as well as production of various valuable bioconversion enzymes. Among them are cytochrome P450 hydroxylase (CYP), which are hemoproteins encoded by a super family of genes, are universally distributed in most of the organisms from all biological kingdoms. Actinomycetes are a rich source of soluble CYP enzymes, which play critical roles in the bioactivation and detoxification of a wide variety of metabolite biosynthesis and xenobiotic transformation. Cyclosporin A (CyA), one of the most commonly-prescribed immunosuppressive drugs, was previously reported to be hydroxylated at the position of 4th N-methyl leucine by a rare actinomycetes called Sebekia benihana, leading to display different biological activity spectrum such as loss of immunosuppressive activities yet retaining hair growth-stimulating side effect. In order to improve this regio-selective CyA hydroxylation in S. benihana, previously-identified several secondary metabolite up-regulatory genes from Streptomyces coelicolor and S. avermitilis were heterologously overexpressed in S. benihana using an $ermE^*$ promoter-containing Streptomyces integrative expression vector. Among tested, SCO4967 encoding a conserved hypothetical protein significantly stimulated region-specific CyA hydroxylation in S. benihana, implying that some common regulatory systems functioning in both biosynthesis and bioconversion of secondary metabolite might be present in different actinomycetes species.

• Journal of Microbiology and Biotechnology
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• v.32 no.3
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• pp.387-395
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• 2022

Deciphering the metabolites of human diseases is an important objective of biomedical research. Here, we aimed to capture the core metabolites of Fanconi anemia (FA) using the bioinformatics method of a multi-omics composite network. Based on the assumption that metabolite levels can directly mirror the physiological state of the human body, we used a multi-omics composite network that integrates six types of interactions in humans (gene-gene, disease phenotype-phenotype, disease-related metabolite-metabolite, gene-phenotype, gene-metabolite, and metabolite-phenotype) to procure the core metabolites of FA. This method is applicable in predicting and prioritizing disease candidate metabolites and is effective in a network without known disease metabolites. In this report, we first singled out the differentially expressed genes upon different groups that were related with FA and then constructed the multi-omics composite network of FA by integrating the aforementioned six networks. Ultimately, we utilized random walk with restart (RWR) to screen the prioritized candidate metabolites of FA, and meanwhile the co-expression gene network of FA was also obtained. As a result, the top 5 metabolites of FA were tenormin (TN), guanosine 5'-triphosphate, guanosine 5'-diphosphate, triphosadenine (DCF) and adenosine 5'-diphosphate, all of which were reported to have a direct or indirect relationship with FA. Furthermore, the top 5 co-expressed genes were CASP3, BCL2, HSPD1, RAF1 and MMP9. By prioritizing the metabolites, the multi-omics composite network may provide us with additional indicators closely linked to FA.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.33 no.4
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• pp.385-394
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• 2023

Objectives: Firefighters could be exposed to a range of toxic chemicals during firefighting. When tyre burns, various toxic chemicals including volatile organic compounds(VOCs) could be emitted. In this study, the researchers assessed the VOC exposure of firefighters during tyre fire suppression through biomonitoring. Methods: There was a big tyre fire on 12 March 2023. Of the responding firefighters, we recruited 14 participants to collect their urine after firefighting. One week later, researchers collected firefighters' urine again right after their off-duty period. We analyzed each metabolite of benzene, toluene, xylene, and styrene in urine and compared their exposure level based on sampling time. Results: The detection rate for metabolite of benzene, toluene, styrene, and xylene in urine sampled at each time was 43%-64%, 100%, 86%-100%, and 100%, respectively. Except for the benzene, metabolite levels measured in urine after firefighting were similar to that from off-duty period. However, the median concentration of benzene metabolite in urine sampled after firefighting was three times higher compared to that from off-duty period(34.2 ㎍/g crea. and 10.9 ㎍/g crea., respectively.) The estimated airborne concentration of benzene calculated from metabolite level in urine was 0.16 ppm, which exceeded the recommended exposure level set by the National Institute for Occupational Safety and Health. Conclusions: This study shows that firefighters could be exposed to the high level of VOCs including benzene during their firefighting especially at tyre fire. These results could be used as a valuable data to prove firefighters' exposure to hazardous chemicals during their duty.

• Progress in Medical Physics
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• v.18 no.3
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• pp.179-185
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• 2007

The purpose of this study is to investigate the spectra of a magnetic resonance spectroscopy (MRS) in accordance with the variance of TE and the volumes of metabolites in a localized voxel for the quality assurance using a designed single voxel spectroscopy QA phantom. Because a cone-shade phantom is designed as the volume of metabolite in a localized voxel is changeable, we try to analyze the peaks of each metabolite (NAA, Cr, Cho, Lac, etc.) in accordance with metabolite volume in a localized voxel as well as echo time (TE). All data were obtained using a 3T MRI/MRS machine and analyzed using $jMRUI^{(R)}$. The results of this study show that TE is in inverse proportion to the noise of MRS and the longer TE and the less metabolite volume in the localized voxel, the peak intensities of each metabolite decrease. In case of the lactate, its peak was observed on the all TE only if the greatest metabolite is included in the localized voxel. Then, the intensity of a metabolite is more sensitive to the metabolite volume in the localized voxel than the TE. These obtained in vitro MRS data is provide the guideline that is important for in vivo metabolite quantification. But, in the edge of cone-shape vial air bubbles were observed and spectrum could not obtained. Therefore our cone-shape MRS phantom needs to be modified in order to solve these problems.

• Asian-Australasian Journal of Animal Sciences
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• v.6 no.4
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• pp.607-617
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• 1993

Three experiments were carried out in which lactating Hereford ${\times}$ Friesian cattle walked up to ten kilometers a day for three periods of five days with two non-walking days between each walking period and in which the animals were fed different diets. Measurements were made of milk yield, milk constituent yields and concentrations and blood metabolite concentrations. Exercise caused significant reductions in milk yield and in the yields of lactose and milk protein. Milk fat yield was not reduced when animals were exercised. During exercise the concentrations of ${\beta}-OH$ butyrate and free fatty acids increased, whereas the concentrations of glucose, magnesium and inorganic phosphorus decreased. Diet influenced the effect of exercise on some blood metabolite concentrations.

• Journal of Microbiology and Biotechnology
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• v.12 no.6
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• pp.1017-1021
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• 2002

A novel antibacterial metabolite, ARK42, was elated from a xerophilic fungal strain K42, and Identified as Aspergillus repens based on its morphological characteristics. The metabolite exhibited antibacterial activities towards Staphylococcus aureus, Bacillus cereus, and Pseudomonas aeruginosa, with MICs of 25, 12.5, and $3.125{\mu}g/ml$, respectively, and killed Pseudomonas aeruginosa with minimal bactericidal concentration (MBC) of $12.5{\mu}g/ml$. Furthermore, anticancer activities were demonstrated against human colon cancer DLD- 1 and lung cancer LXFL529 cells with an $IC_50$ of 10 and $1{\mu}g/ml$, respectively.

• Journal of the Korean Magnetic Resonance Society
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• v.13 no.1
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• pp.7-14
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• 2009

The spectral data were collected from the two 600 MHz spectrometers from the two major manufacturers, Broker and Varian. The samples were prepared to create standard curves for quantitative measurements of metabolite concentrations. Instead of employing one-dimensional $^1H$ experiments, the two-dimensional $^1H-^{13}C$ HSQC experiments were performed for better separation of resonances. For some resonances, the high salt condition hindered the linear correlation between the intensity and actual metabolite concentration. Excluding overlapped ones, most resonances showed good linearity. Although the Varian spectrometer showed better linearity, both spectrometers were able to generate acceptable standard curves. From this data, we could identify resonances that could be used to better quantify the concentrations of the particular metabolites. With these standard curves, the quantitative measurements of the metabolites from the real samples will be facilitated.