• 제목/요약/키워드: Metabolic discrimination

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Metabolic Discrimination of Safflower Petals of Various Origins Using 1H NMR Spectroscopy and Multivariate Statistical Analysis

  • Whang, Wan-Kyun;Lee, Min-Won;Choi, Hyung-Kyoon
    • Bulletin of the Korean Chemical Society
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    • 제28권4호
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    • pp.557-560
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    • 2007
  • The metabolic discrimination of safflowers from various geographical origins was performed using 1H nuclear magnetic resonance (NMR) spectroscopy followed by principal components analysis. With a combination of these techniques, safflower samples from different origins could be discriminated using the first two principal components (PC) of the 1H NMR spectra of the 50% methanol fractions. PC1 and PC2 accounted cumulatively for 91.3% of the variation in all variables. The major peaks in the 1H NMR spectra that contributed to the discrimination were assigned to fatty acid (terminal CH3), lactic acid, acetic acid, choline derivatives, glycine, and safflower yellow derivatives. In this study, we suggest that various types of safflower can be discriminated using PCA and 1H NMR spectra.

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.

비만에 대한 편견, 낙인, 차별 및 이에 대한 개선 방안 (Understanding and Exploring Weight-Based Bias, Stigma, and Discrimination)

  • 이가영
    • 비만대사연구학술지
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    • 제2권1호
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    • pp.1-5
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    • 2023
  • The importance of weight discrimination for people with obesity has been highlighted by research which has found that more than 40% of those living with obesity have experienced weight discrimination. Evidence suggests that weight bias among obese individuals puts their health at risk more than health issues caused by obesity itself. Although bias, stigma, and discrimination towards individuals living with obesity are factors that make it difficult for them to lose weight, weight bias and stigma among healthcare professionals are common, causing individuals living with obesity to avoid treatment and potentially exacerbating obesity-related health issues. The concept that one's own efforts matter contributes to stigma, discrimination, and bias. This issue will be more frequent among primary care providers treating individuals living with obesity; thus, it is important to acknowledge the issues of bias, stigma, and discrimination towards individuals living with obesity and to seek out solutions. In this review, I will discuss the concept of weight bias, stigma, and discrimination, the problems they cause, and seek solutions to weight prejudice, stigma, and discrimination.

대사증후군 환자의 운동행위 변화단계 판별요인 (Discriminating Factors of Stages of Change for Exercise among Patients with Metabolic Syndrome)

  • 황현주;이은남;최은정
    • 근관절건강학회지
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    • 제21권1호
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    • pp.46-54
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    • 2014
  • Purpose: This study was designed to explore the stage distribution of subjects according to stages of change for exercise and to identify factors that could discriminate subjects in various stages. Methods: The sample consisted of 182 subjects who had metabolic syndrome. The instruments used in this study were the stage placement instrument for exercise, the metabolic syndrome knowledge and metabolic syndrome health belief scale, and the metabolic syndrome exercise self efficacy scale. Data were analyzed using chi-square, ANOVA, and discriminant analysis by using the SPSS 19.0 program. Results: For exercise stages, exercise efficacy, occupation, and exercise benefit showed high standardized canonical discriminant function coefficients. Subjects in precontemplation/contemplation stage for exercise were more likely to have occupations, had less exercise efficacy and exercise benefit than those in other stage. Conclusion: This study implies that the level of exercise efficacy and exercise benefit of subjects in precontemplation/contemplation stage need to be enhanced in developing exercise program incorporating the stage of change for metabolic syndrome patients.

배추 대사체 추출물의 FT-IR 스펙트럼 및 다변량 통계분석을 통한 계통 신속 식별 체계 (Rapid discrimination system of Chinese cabbage (Brassica rapa) at metabolic level using Fourier transform infrared spectroscopy (FT-IR) based on multivariate analysis)

  • 안명숙;임찬주;송승엽;민성란;이인호;노일섭;김석원
    • Journal of Plant Biotechnology
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    • 제43권3호
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    • pp.383-390
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    • 2016
  • 본 연구에서는 국내에서 재배중인 배추 전세포 추출물의 FT-IR 스펙트럼 데이터로부터 다변량 통계분석(PCA, PLS-DA, HCA)을 이용하여 신속하고 간편한 계통 구분체계를 확립하였다. 다변량 통계분석 결과 대사체 수준에서 배추의 부계, 모계, $F_1$ 계통들이 계통에 따라 유연관계가 높음을 알 수 있었다. 아울러 본 연구에서 얻어진 대사체 정보의 유연관계분석은 $F_1$ 계통의 부계와 모계에 대한 유연관계가 교배에 따라 달라질 수 있음을 보여주었다. 따라서 FT-IR 스펙트럼 데이터의 다변량 통계분석 기술은 대사체 정보를 기반으로 한 신품종 선발방법의 간편성과 신속성을 고려할 때 배추의 계통이나 품종의 신속한 식별 수단으로 활용이 가능할 것으로 기대된다.

FT-IR 스펙트럼 기반 다변량통계분석기법에 의한 두과작물의 대사체 수준 식별체계 확립 (Establishment of rapid discrimination system of leguminous plants at metabolic level using FT-IR spectroscopy with multivariate analysis)

  • 송승엽;하태정;장기창;김인중;김석원
    • Journal of Plant Biotechnology
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    • 제39권3호
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    • pp.121-126
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    • 2012
  • 본 연구에서는 국내에서 재배중인 대표적인 두과작물(대두, 완두, 강낭콩, 팥, 녹두, 동부)종자로부터 전세포추출물의 FT-IR 스펙트럼 데이터로부터 다변량통계분석(PCA, PLS-DA, HCA)을 이용하여 신속하고 간편한 종 구분체계를 확립하였다. 대사체수준에서 팥, 녹두, 동부는 유연관계가 높음을 알 수 있었으며 대두, 완두, 강낭콩은 비록 두과작물이지만 차이가 매우 큼을 알 수 있었다. 아울러 본 연구에서 얻어진 대사체 정보의 다변량통계분석에 의한 유연관계분석은 흥미롭게도 두과작물의 계통분류학적 유연관계와 밀접한 상관관계를 나타내었다. 따라서 FT-IR 스펙트럼 데이터의 다변량통계분석은 방법의 간편성과 신속성을 고려할 때 두과작물의 계통이나 품종의 신속한 식별 수단으로 활용이 가능할 것으로 기대된다. 또한 두과작물의 기능성 성분 함량 정보가 성공적으로 연계된다면 본 연구에서 확립된 대사체 기반 신속식별체계는 기능성 성분의 함량이 높은 계통이나 품종의 조기 선발수단으로 활용이 가능할 것으로 기대된다.

Metabolic classification of herb plants by NMR-based metabolomics

  • Kim, Hee-Eun;Choi, Ye Hun;Choi, Kwang-Ho;Park, Ji Su;Kim, Hyeon Su;Jeon, Jun Hyeok;Heu, Min Soo;Shin, Dong-Seon;Lee, Joon-Hwa
    • 한국자기공명학회논문지
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    • 제16권2호
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    • pp.91-102
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    • 2012
  • Metabolomics is the systematic identification and quantification of all metabolites in an organism or biological sample. NMR has been used as a major application tool in plant metabolomics such as quality control, chemotaxonomy, and analysis of genetically modified plants. Herbal medicines are the important therapeutics and are used to manage common diseases such as cold, inflammation, pain, heart diseases, liver cirrhosis, diabetes and central nerve system diseases. Herb plants include various kinds of species such as geranium, mint, and thyme and so on and contain different kinds of metabolites. We performed NMR-based metabolomics study on the seven different species of herb plants using $^1H$ NMR experiments and OPLS-DA to understand the correlation between the classification of herb plants and their metabolite contents. This study showed clear metabolic discrimination among various herb plants. This metabolmics study found several diagnostic NMR signals which are able to be used as bio-markers for identification of the specific herb plants among various species. Clear metabolic discrimination of herb plants suggests three chemotaxonomic groups of herb species.

Metabolic changes during adaptation to saline condition and stress memory of Arabidopsis cells

  • Chun, Hyun Jin;Park, Mi Suk;Lee, Su Hyeon;Jin, Byung-Jun;Cho, Hyun Min;Hong, Young-Shick;Kim, Min Chul
    • 한국작물학회:학술대회논문집
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    • 한국작물학회 2017년도 9th Asian Crop Science Association conference
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    • pp.175-175
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    • 2017
  • To understand molecular mechanisms underlying adaptation of plant cells to saline stress and stress memory, we developed Arabidopsis callus suspension-cultured cells adapted to high salt. Adapted cells to high salt exhibited enhanced tolerance compared to control cells. Moreover, the salt tolerance of adapted cells was stably maintained even after the stress is relieved, indicating that the acquired salt tolerance of adapted cells was memorized. In order to characterize metabolic responses of plant cells during adaptation to high salt stress as well as stress memory, we compared metabolic profiles of salt-adapted and stress-memorized cells with control cells by using NMR spectroscopy. A principle component analysis showed clear metabolic discrimination among control, salt-adapted and stress-memorized cells. Compared with control cells, metabolites related to shikimate metabolism such as tyrosine, and flavonol glycosides, which are related to protective mechanism of plant against stresses were largely up-regulated in adapted cell lines. Moreover, coniferin, a precursor of lignin, was more abundant in salt-adapted cells than control cells. Cell morphology analysis using transmission electron microscopy indicated that cell wall thickness of salt-adapted cells was significantly induced compared to control cells. Consistently, salt adapted cells contained more lignin in their cell walls compared to control cells. The results provide new insight into mechanisms of plant adaptation to saline stress as well as stress memory in metabolic level.

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FT-IR 스펙트럼 데이터 기반 다변량통계분석기법을 이용한 아티초크의 대사체 수준 품종 분류 (Establishment of discrimination system using multivariate analysis of FT-IR spectroscopy data from different species of artichoke (Cynara cardunculus var. scolymus L.))

  • 김천환;성기철;정영빈;임찬규;문두경;송승엽
    • 원예과학기술지
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    • 제34권2호
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    • pp.324-330
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    • 2016
  • 본 연구는 FT-IR 스펙트럼 데이터를 기반한 다변량통계분석을 이용한 대사체 수준에서 아티초크(Cynara cardunculus var. scolymus L.) 품종 구분하였다. FT-IR 스펙트럼 데이터로부터 PCA(principal component analysis), PLS-DA(partial least square discriminant analysis) 그리고 HCA(hierarchical clustering analysis) 분석을 실시하였다. 아티초크 품종들은 1700-1500, 1500-1300, $1100-950cm^{-1}$ 부위에서 대사체의 양적, 질적 패턴 변화가 FT-IR 스펙트럼상에서 나타났다. FT-IR 스펙트럼의 $1700-1500cm^{-1}$ 부위는 주로 Amide I 과 II을 포함하는 아미노산 및 단백질계열의 화합물들의 질적, 양적 정보를 나타내고, $1700-1300cm^{-1}$ 부위는 phosphodiester group을 포함한 핵산 및 인지질의 정보가 반영이 되고, $1100-950cm^{-1}$ 부위는 단당류나 복합 다당류를 포함하는 carbohydrates 계열의 화합물들이 질적, 양적 정보가 반영되는 부위이다. PCA 상에 나타난 10품종의 아티초크들은 품종간에 중첩이 많이 이뤄지는 모습을 나타냈다. 아티초크 10개의 품종 중에서 'Cardoon'과 'Green Globe'가 계통분류학적으로 유연관계가 낮고, 서로간에 대사체 수준의 차이가 뚜렷하게 나타나는 것으로 보아 대사체 수준에서 마커 탐색에 가장 중요한 품종으로 작용할 것으로 판단된다. PLS-DA 분석의 경우 PCA 분석 보다 아티초크의 종간 식별이 뚜렷하게 나타났다. 따라서 본 연구에서 확립된 대사체 수준에서 아티초크의 품종 식별 기술은 품종, 계통의 신속한 선발 수단으로 활용이 가능할 것으로 기대되며 육종을 통한 품종개발 가속화에 기여 할 수 있을 것으로 예상된다.

Metabolomic approach for discrimination of processed ginseng genus (Panax ginseng and Panax quinquefolius) using UPLC-QTOF MS

  • Park, Hee-Won;In, Gyo;Kim, Jeong-Han;Cho, Byung-Goo;Han, Gyeong-Ho;Chang, Il-Moo
    • Journal of Ginseng Research
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    • 제38권1호
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    • pp.59-65
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    • 2014
  • Discriminating between two herbal medicines (Panax ginseng and Panax quinquefolius), with similar chemical and physical properties but different therapeutic effects, is a very serious and difficult problem. Differentiation between two processed ginseng genera is even more difficult because the characteristics of their appearance are very similar. An ultraperformance liquid chromatography-quadrupole time-of-flight mass spectrometry (UPLC-QTOF MS)-based metabolomic technique was applied for the metabolite profiling of 40 processed P. ginseng and processed P. quinquefolius. Currently known biomarkers such as ginsenoside Rf and F11 have been used for the analysis using the UPLC-photodiode array detector. However, this method was not able to fully discriminate between the two processed ginseng genera. Thus, an optimized UPLC-QTOF-based metabolic profiling method was adapted for the analysis and evaluation of two processed ginseng genera. As a result, all known biomarkers were identified by the proposed metabolomics, and additional potential biomarkers were extracted from the huge amounts of global analysis data. Therefore, it is expected that such metabolomics techniques would be widely applied to the ginseng research field.