• 제목/요약/키워드: metabolic profiling

검색결과 134건 처리시간 0.032초

Metabolomic Investigation on Fermentation Products of Achyranthes japonica Nakai by Lactobacillus plantarum

  • Lee, Chang-Wan;Lee, Do Yup
    • Journal of Microbiology and Biotechnology
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    • 제30권3호
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    • pp.378-381
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    • 2020
  • Fermentation has recently re-emerged as an approach for improved functionality of food products in addition to the traditional roles such as shelf life, taste, and texture. Here, we report dynamic changes in the metabolite profiles of Achyranthes japonica Nakai by Lactobacillus plantarum fermentation, primarily, the significant increases in representative functional ingredients, 20-hydroxyecdysone and 25S-inokosterone. Additionally, untargeted metabolite profiling showed 58% of metabolites underwent significant alteration. The most dynamic change was observed in cellobiose, which showed a 56-fold increase. Others were sugar alcohols and amino acids, while lyxitol and erythritol that were among the most dynamically down-regulated.

Applications of NMR spectroscopy based metabolomics: a review

  • Yoon, Dahye;Lee, Minji;Kim, Siwon;Kim, Suhkmann
    • 한국자기공명학회논문지
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    • 제17권1호
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    • pp.1-10
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    • 2013
  • Metabolomics is the study which detects the changes of metabolites level. Metabolomics is a terminal view of the biological system. The end products of the metabolism, metabolites, reflect the responses to external environment. Therefore metabolomics gives the additional information about understanding the metabolic pathways. These metabolites can be used as biomarkers that indicate the disease or external stresses such as exposure to toxicant. Many kinds of biological samples are used in metabolomics, for example, cell, tissue, and bio fluids. NMR spectroscopy is one of the tools of metabolomics. NMR data are analyzed by multivariate statistical analysis and target profiling technique. Recently, NMR-based metabolomics is a growing field in various studies such as disease diagnosis, forensic science, and toxicity assessment.

NMR Metabolomic Profiles for Quality Control of Korean Green Tea (Camellia sinensis) Classified by the Plucking Season

  • Choi, Kwang-Ho;Park, Ji Su;Kim, Hyeon Su;Choi, Ye Hun;Jeon, Jun Hyeok;Lee, Joon-Hwa
    • 한국자기공명학회논문지
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    • 제21권4호
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    • pp.119-125
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    • 2017
  • The plucking season of green tea leaves is one of the important parameters that decide their metabolic diversity, quality, and prices. The effects of plucking sghlwleasons on green tea metabolites were investigated through metabolite profiling by $^1H$ NMR spectroscopy. The orthogonal projection on latent structure-discriminant analysis (OPLS-DA) showed clear discriminations of green teas by three different grades depending on plucking seasons: Ujeon, Sejak, and Jungjak. These results suggested that the nine peak groups could be used for diagnostics for identification of high quality Ujeon grade of green tea.

Simultaneous Profiling Analysis of Urinary Organic Acids and Amino Acids by Gas Chromatography and Gas Chromatography-Mass Spectrometry for Biochemical Diagnosis of Inherited Metabolic Disorders

  • Paik, Man-Jeong;Lee, Yoon-Suk;Lee, Hong-Jin;Kim, Sook-Za;Kim, Kyoung-Rae
    • 대한약학회:학술대회논문집
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    • 대한약학회 2002년도 Proceedings of the Convention of the Pharmaceutical Society of Korea Vol.2
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    • pp.234.2-235
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    • 2002
  • An efficient method for the simultaneous profiling analysis of organic acids and amino acids combined with a simple graphic pattern recognition method was developed for more objective diagnosis of organic acidurias and amino acidurias. In this method, extractive ethoxycarbonly (EOC) reaction of amino and sufhydry groups with ethyl chloroformate was followed by methodime (MO) formation of carbonyl group in aqueous solution (omitted)

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Metabolomics Approach for Classification of Medicinal Plants

  • Lee, Dong-Ho
    • 한국자원식물학회:학술대회논문집
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    • 한국자원식물학회 2010년도 정기총회 및 춘계학술발표회
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    • pp.5-5
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    • 2010
  • Selection of specific medicinal sources as well as bioactive compounds is important for the preparation of medicine and related products with good quality. It is necessary to pay close attention for choosing correct medicinal sources, particularly in case of medicinal plants, because of their diversity, which can affect the quality and efficacy of medicine. Discrimination of plants based on morphological or genetic characteristics has been used as a conventional classification method of pharmaceutical sources so far; however, more need demands more general methods for accurate quality assessment of medicinal plants. In this study, ultra performance liquid chromatography/quadrupole time-of-flight mass spectrometry (UPLC/Q-TOF MS) technique applied to this metabolic profiling is a powerful tool due to its higher sensitivity, resolution, and speed compared to conventional HPLC technique. The metabolite profiling of several medicinal plants including Panax ginseng was carried out using UPLC/Q-TOF MS and total metabolites were then subsequently applied to various statistical tools to compare the patterns. The developed metabolomics tool with UPLC/Q-TOF MS successfully identified and classified the samples tested according to their origins.

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Effect of Exogenous Proline on Metabolic Response of Tetragenococcus halophilus under Salt Stress

  • He, Guiqiang;Wu, Chongde;Huang, Jun;Zhou, Rongqing
    • Journal of Microbiology and Biotechnology
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    • 제27권9호
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    • pp.1681-1691
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    • 2017
  • This study investigated the effect of proline addition on the salt tolerance of Tetragenococcus halophilus. Salt stress led to the accumulation of intracellular proline in T. halophilus. When 0.5 g/l proline was added to hyperhaline medium, the biomass increased 34.6% (12% NaCl) and 27.7% (18% NaCl) compared with the control (without proline addition), respectively. A metabolomic approach was employed to reveal the cellular metabolic responses and protective mechanisms of proline upon salt stress. The results showed that both the cellular membrane fatty acid composition and metabolite profiling responded by increasing unsaturated and cyclopropane fatty acid proportions, as well as accumulating some specific intracellular metabolites (environmental stress protector). Higher contents of intermediates involved in glycolysis, the tricarboxylic acid cycle, and the pentose phosphate pathway were observed in the cells supplemented with proline. In addition, addition of proline resulted in increased concentrations of many organic osmolytes, including glutamate, alanine, citrulline, N-acetyl-tryptophan, and mannitol, which may be beneficial for osmotic homeostasis. Taken together, results in this study suggested that proline plays a protective role in improving the salt tolerance of T. halophilus by regulating the related metabolic pathways.

Metabolome-Wide Reprogramming Modulated by Wnt/β-Catenin Signaling Pathway

  • Soo Jin Park;Joo-Hyun Kim;Sangtaek Oh;Do Yup Lee
    • Journal of Microbiology and Biotechnology
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    • 제33권1호
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    • pp.114-122
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    • 2023
  • A family of signal transduction pathways known as wingless type (Wnt) signaling pathways is essential to developmental processes like cell division and proliferation. Mutation in Wnt signaling results in a variety of diseases, including cancers of the breast, colon, and skin, metabolic disease, and neurodegenerative disease; thus, the Wnt signaling pathways have been attractive targets for disease treatment. However, the complicatedness and large involveness of the pathway often hampers pinpointing the specific targets of the metabolic process. In our current study, we investigated the differential metabolic regulation by the overexpression of the Wnt signaling pathway in a timely-resolved manner by applying high-throughput and un-targeted metabolite profiling. We have detected and annotated 321 metabolite peaks from a total of 36 human embryonic kidney (HEK) 293 cells using GC-TOF MS and LC-Orbitrap MS. The un-targeted metabolomic analysis identified the radical reprogramming of a range of central carbon/nitrogen metabolism pathways, including glycolysis, TCA cycle, and glutaminolysis, and fatty acid pathways. The investigation, combined with targeted mRNA profiles, elucidated an explicit understanding of activated fatty acid metabolism (β-oxidation and biosynthesis). The findings proposed detailed mechanistic biochemical dynamics in response to Wnt-driven metabolic changes, which may help design precise therapeutic targets for Wnt-related diseases.

생체시료 중 미량 아미노산 대사 프로필을 위한 분석법 응용 (Applied Analysis for Metabolic Profiling of Trace-level Amino Acid in Biological Fluid)

  • 남형욱;박송자;표희수;팽기정
    • 분석과학
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    • 제16권5호
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    • pp.349-357
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    • 2003
  • 유전학적으로 밝혀지지 않은 생물학적 연구에 있어서 작은 분자량의 아미노산 또는 홀몬과 같은 대사체들은 그 변화와 여러 생물학적 데이타와 결합 되어 직접적인 생화학적 의미 해석을 가능하게 한다. 미량의 생체 시료에 존재하는 아미노산을 분석하기 위해서 HPLC/FLD를 사용하였으며, 감도가 우수하고 반응시간이 빠른 유도체화 방법인 OPA/3-MPA로 형광 유도체화 하여 세포 배지를 바탕시료로 하여 아미노산을 분석하였다. 유도체화물의 시간에 대한 불안정성을 개선하기 위하여 다 단계의 injector program을 사용하여 유도체화 반응 후 시료 주입시간을 일정하게 조절하여 유도체화 과정 중 발생할 수 있는 불순물 제거 및 정량성을 개선하였다. 19종 아미노산의 표준 검정 곡선은 0.5 - 100.0 ppb의 범위에서 $r^2=0.99$ 이상의 직선성을 나타냈으며, 검출 한계는 1.70 pmol(GLU) - 23.81 pmol(SER) 범위로 측정되었다. 이를 통해 다량의 세포를 대상으로 하는 대사 프로필을 위해 감도가 우수하고 안정적으로 정량할 수 있는 분석법을 설정하였다.

1H NMR 스펙트럼 데이터의 다변량 통계분석에 의한 벼 품종의 구분 및 주요 당 화합물의 정량분석 (Metabolic Discrimination of Rice Cultivars and Relative Quantification of Major Sugar Compounds Using 1H NMR Spectroscopy Combined by Multivariate Statistical Analysis)

  • 김석원;구본초;김종현;유장렬
    • Journal of Plant Biotechnology
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    • 제33권4호
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    • pp.283-288
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    • 2006
  • 건조된 벼 5 품종의 whole cell extracts로부터 $^1H$ NMR 스펙트럼 조사를 통해 다변량 통계분석법을 활용하여 벼 종자의 품종 구분이 가능함을 조사하였다. $^1H$ NMR스펙트럼 데이터에 기초한 PCA분석 결과 크게 3개의 그룹으로 구분이 이루어졌다. 즉, 상주벼가 나머지 4 품종의 벼와 크게 다르게 구분이 이루어졌으며 동진벼와 심백벼, 그리고 화만벼와 심백hetero 품종이 각각 하나의 소그룹으로 구분이 이루어졌다. 스펙트럼 영역에 있어서는 carbohydrate region이 품종에 따라 크게 달라지는 것으로 보아 탄수화물의 정량정성적 차이가 metabolic profiting에 의한 품종 구분에 중요한 역할을 하는 것으로 추론된다. 또한 $^1H$ NMR 스펙트럼 데이터에 기초하여 주요 당 화합물 (sucrose, glucose, maltose 등)의 상대적인 정량분석을 조사한 결과 상주벼의 경우 다른 벼 품종에 비해 sucrose 및 glucose 함량은 큰 차이가 없었으나 maltose 함량이 타 품종에 비해 약 2-4배 높음을 알 수 있었다. 따라서 본 연구에서 확립한 벼 종자의 whole cell extracts로부터 $^1H$ NMR 스펙트럼을 이용한 metabolic profiling 방법은 다양한 벼 종자의 신속한 품종구분은 물론 주요 carbohydrates의 간편한 정량분석 체계로 활용이 가능할 것으로 예상된다.