• Journal of Korean Biological Nursing Science
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• 제23권2호
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• pp.100-109
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• 2021

Purpose: This study aimed to compare the differences in the prevalence of metabolic syndrome between menopausal women and women of childbearing age and to determine the risk of metabolic syndrome among women in each group depending on whether they eat alone. Methods: Data of 1,813 women from the seventh Korea National Health and Nutrition Examination Survey (2016) were used. The collected data were analyzed using SPSS 20.0, and complex sample frequency analysis, descriptive statistics, complex sample cross analysis, complex sample general linear regression, and complex sample logistic regression analysis were performed. Results: According to the results of the study, there was no difference in the prevalence and risk of metabolic syndrome according to the presence of companions during meals between women of childbearing age and post-menopausal women, but there was a difference in health behavior. In other words, women of childbearing age who ate alone had a lot of experience of drinking, and menopausal women who ate alone did not tend to make any efforts to control their weight and did not perform aerobic exercise. In particular, the negative health behavior of menopausal women who ate alone increased the risk of prevalence of metabolic syndrome. Conclusion: The findings indicate that, for women who eat alone, interventions to prevent metabolic syndrome should be differentiated before and after menopause. Therefore, it is suggested to offer an educational program to prevent metabolic syndrome in women of childbearing age as well as provide regular assessments to diagnose metabolic syndrome and health behavior improvement programs for menopausal women.

• 한국생물공학회:학술대회논문집
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• 한국생물공학회 2003년도 생물공학의 동향(XIII)
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• pp.604-605
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• 2003

• 한국치위생학회지
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• 제13권4호
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• pp.581-588
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• 2013

Objectives : The aim of the study si to investigate correlation between metabolic syndrome risk factors and oral health status in workers and to propose the integrated and effective management measures. Methods : Subjects were 4,600 workers in industrial company. Data by medical checkup and oral examination were collected from July 13, 2010 to September 12, 2010. Self-reported questionnaire included general characteristics, job description, smoking, drinking, and metabolic syndrome risk factor indicators. Gingivitis, dental calculus and missing tooth tended to have more metabolic syndrome risk factors. Data were analyzed by descriptive statistics, chi-square test, correlation analysis, logistic regression using SPSS version 18.0. Results : Dental caries revealed 1.146 times higher than the control group. Risk group showed the following results; gingivitis was 1.317 times higher in risk group and 1.612 times in metabolic syndrome. Dental calculus was 1.532 times higher in risk group and 1.557 times in metabolic syndrome. Mssing teeth were 1.976 higher in metabolic syndrome. Conclusions : Metabolic syndrome risk factors had close correlation to poor raol health status. It is necessary to establish the effective plan for the oral health in workers.

• Biotechnology and Bioprocess Engineering:BBE
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• 제10권5호
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• pp.408-417
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• 2005

Increasing numbers of value added chemicals are being produced using microbial fermentation strategies. Computational modeling and simulation of microbial metabolism is rapidly becoming an enabling technology that is driving a new paradigm to accelerate the bioprocess development cycle. In particular, constraint-based modeling and the development of genome-scale models of industrial microbes are finding increasing utility across many phases of the bioprocess development workflow. Herein, we review and discuss the requirements and trends in the industrial application of this technology as we build toward integrated computational/experimental platforms for bioprocess engineering. Specifically we cover the following topics: (1) genome-scale models as genetically and biochemically consistent representations of metabolic networks; (2) the ability of these models to predict, assess, and interpret metabolic physiology and flux states of metabolism; (3) the model-guided integrative analysis of high throughput 'omics' data; (4) the reconciliation and analysis of on- and off-line fermentation data as well as flux tracing data; (5) model-aided strain design strategies and the integration of calculated biotransformation routes; and (6) control and optimization of the fermentation processes. Collectively, constraint-based modeling strategies are impacting the iterative characterization of metabolic flux states throughout the bioprocess development cycle, while also driving metabolic engineering strategies and fermentation optimization.

• 한국치위생학회지
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• 제16권6호
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• pp.979-991
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• 2016

Objectives: The objective of the study is to investigate the effect of oral health belief and metabolic syndrome on CPITN. Methods: A self-reported questionnaire was completed by 847 adult visitors over 20 years old in Busan from August 1 to December 31, 2011. Except incomplete answers, 776 data were analyzed by t-test, one way ANOVA, and logistic regression analysis using SPSS 20.0 program. The questionnaire comprised general characteristics of the subjects, oral health behavior, and metabolic syndrome related risk factors. Results: There was statistically significant difference of an oral health belief rating between the groups receiving oral health education. Community periodontal index had statistically significant difference depending on smoking and waist circumference. To analyze related factors of community periodontal index, multiple logistic regression analysis was performed. As the final outcome, gender, age, benefit, salience, scaling experience, experience of oral health education, and related factors and metabolic syndrome were shown to impact on significant influence (p<0.05). Conclusions: Thus, To manage the effective oral health, it is necessary to control the factors of metabolic syndrome and oral health.

• Journal of Microbiology and Biotechnology
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• 제34권6호
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• pp.1214-1221
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• 2024

The accumulating evidence substantiates the indispensable role of gut microbiota in modulating the pathogenesis of type 2 diabetes. Uncovering the intricacies of the mechanism is imperative in aiding disease control efforts. Revealing key bacterial species, their metabolites and/or metabolic pathways from the vast array of gut microorganisms can significantly contribute to precise treatment of the disease. With a high prevalence of type 2 diabetes in Inner Mongolia, China, we recruited volunteers from among the Mongolian population to investigate the relationship between gut microbiota and the disease. Fecal samples were collected from the Volunteers of Mongolia with Type 2 Diabetes group and a Control group, and detected by metagenomic analysis and untargeted metabolomics analysis. The findings suggest that Firmicutes and Bacteroidetes phyla are the predominant gut microorganisms that exert significant influence on the pathogenesis of type 2 diabetes in the Mongolian population. In the disease group, despite an increase in the quantity of most gut microbial metabolic enzymes, there was a concomitant weakening of gut metabolic function, suggesting that the gut microbiota may be in a compensatory state during the disease stage. β-Tocotrienol may serve as a pivotal gut metabolite produced by gut microorganisms and a potential biomarker for type 2 diabetes. The metabolic biosynthesis pathways of ubiquinone and other terpenoid quinones could be the crucial mechanism through which the gut microbiota regulates type 2 diabetes. Additionally, certain Clostridium gut species may play a pivotal role in the progression of the disease.

• 한방안이비인후피부과학회지
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• 제30권3호
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• pp.166-181
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• 2017

Objectives : The study was done to verify the relation between early-onset androgenetic alopecia(AGA) and metabolic syndrome(MetS). Methods : Data were collected through electronic database including KoreaMed, National Assembly Library, KMBASE, NDSL, KCI, KERIS, Google Scholar, Pubmed, Cochrane CENTRAL and EBSCO MEDLINE. A total of 13 case-control studies related to the MetS of early-onset alopecia patients were used for the systematic review and meta-analysis. Risk of bias of included studies were assessed by RoBANS tool. RevMan5.3, CMA3 were used for the meta-analysis. Results : In 13 evaluated articles, most frequent bias was the participant selection bias that was found in 10 articles. Significant association between early-onset AGA and MetS was found in 10(76.9%) out of 13 articles in the systematic review. In meta-analysis, early-onset male AGA was associated with increased risk of metabolic syndrome(OR: 3.73, 95% CI:2.49 -5.61). Conclusions : AGA, particularly early -onset male AGA, is significantly associated with MetS. Therefore all patients with early onset male AGA should be suggested to take preventive treatment to reduce the risk of MetS and various problems associated with it.

• 대한임상검사과학회지
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• 제46권3호
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• pp.85-90
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• 2014

The purpose of this study was to investigate the prevalence and differences of risk factors of Metabolic syndrome according to menopausal status. From the database of the 5th Korea National Health and Nutrition Examination Survey (KNHANES V) conducted in 2012, data of 3,537 women who responded to health interview and health examination questionnaires. The presence of Metabolic syndrome was assessed using the International Diabetes Federation (IDF) criteria. The prevalence of Metabolic syndrome was 17.3% in premenopause and 54.3% in postmenopause. BMI, waist circumference, blood pressure, total cholesterol, LDL cholesterol, triglyceride, and Ferritin were higher in postmenopausal women compared to premenopausal women. However, postmenopausal women had lower HDL cholesterol and TIBC when compared to premenopausal women. Hypertension was the most prominent characteristic of postmenopausal women. Low HDL cholesterol showed up as a meaningful factor in premenopausal women. According to multiple regression analysis, waist circumference, fasting glucose, and HDL cholesterol were independent predictors of menopause. Therefore, obesity control and blood lipids management is recommended for postmenopausal women.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2002년도 ICCAS
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• pp.57.3-57
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• 2002

1. Introduction 2. General flux balance model 3. MetaFluxNet 3.1 Overview of MetaFluxNet 3.2 Project file format 3.3 Construction of metabolite reaction model 3.4 Metabolic flux analysis using linear programming 3.5 Visualization of MFA results 4. Conclusion and plan 5. Acknowledgement. References.

• 대한약학회:학술대회논문집
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• 대한약학회 2003년도 Proceedings of the Convention of the Pharmaceutical Society of Korea Vol.2-2
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• pp.214.1-214.1
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• 2003

Metabonomic analysis using Liquid Chromatography-Mass Spectrometry (LC-MS) was employed to test the feasibility to predict chemical-induced toxicity. Time-dependent metabolic variations were evaluated in rats treated with the model hepatotoxin, ${\alpha}$- naphthylisothiocyanate (ANIT). Urine samples of ANIT treated group and control group were collected up to 7 days postdose. Urine samples were analyzed by gradient HPLC combined with electrospray mass spectrometry. The chromatographic results were data-reduced and analyzed using principal component analysis to show the time dependent biochemical variations induced by ANIT toxicity. (omitted)