• 대한의생명과학회지
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• 제29권4호
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• pp.355-362
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• 2023

This study aimed to determine whether smoking affects the metabolic syndrome and its components through long-term follow-up. Of the 10,030 cohort subjects in the community-based Korean Genome and Epidemiology Study (KoGES) from 2001 to 2018, 2,848 people with metabolic syndrome and 4,854 people with insufficient data for analysis were excluded for this study. The study population comprised 2,328 individuals (1,123 men, 1,205 women) who were eligible for inclusion. The mean age of the participants was 49.2±7.5 years, and 21.9% were current smoker. In log rank test, current smoker had a significantly higher cumulative incidence of metabolic syndrome compared with non smoker (P<0.001). In the Cox proportional hazards model adjusted for key variables, metabolic syndrome (hazard ratio [HR] 1.57, P<0.001), high fasting glucose (HR 1.40, P<0.01), hypertriglyceridemia (HR 1.60, P<0.001), low HDL-cholesterol (HR, 1.30, P<0.01), and abdominal obesity (HR 1.32, P<0.01) in current smoker compared with non smoker were statistically significant, respectively, but not hypertension (HR 1.00, P>0.05). After adjustment for confounders, the time (P-time<0.001) and group (P-group<0.001) effects on metabolic syndrome score change were statistically significant. Furthermore, the interaction analysis of time and smoking group on the change in metabolic syndrome score was statistically significant (P-interaction<0.001). In long-term follow-up, smoking worsens metabolic syndrome.

• 한국생물공학회:학술대회논문집
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• 한국생물공학회 2005년도 생물공학의 동향(XVII)
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• pp.296-296
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• 2005

• 한국생물공학회:학술대회논문집
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• 한국생물공학회 2005년도 생물공학의 동향(XVII)
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• pp.870-870
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• 2005

• 한국생물공학회:학술대회논문집
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• 한국생물공학회 2005년도 생물공학의 동향(XVII)
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• pp.884-884
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• 2005

• 한국생물공학회:학술대회논문집
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• 한국생물공학회 2005년도 생물공학의 동향(XVII)
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• pp.910-910
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• 2005

• 한국생물공학회:학술대회논문집
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• 한국생물공학회 2005년도 생물공학의 동향(XVII)
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• pp.295-295
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• 2005

• Journal of Nutrition and Health
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• 제43권1호
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• pp.69-78
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• 2010

The prevalence rate of metabolic syndrome has increased rapidly among the middle-aged and seems to be affected by socioeconomic factors, lifestyles and dietary habits. This research tries to find out the difference in dietary intake between middle-aged with and without metabolic syndrome. Using Korean National Health and Nutrition Survey (KNHANES) in 2005 and 2007, this study investigated 2,382 people (normal: 1,575, disease: 807) in 2005 and 1152 people (normal: 747, disease: 405) in 2007 (between the age of 40 and 64). Analysis was performed to discover the difference in nutrient intakes between people with and without metabolic syndrome. Also differences among people with various socioeconomic factors (such as age, education level, and income level), which can affect nutrient intake, were analyzed. In the nutrient intake people with metabolic syndrome has lower intake in most of nutrients than those of normal group, except carbohydrate. In 2007, normal group had higher intake in most nutrients, except for carbohydrate, sodium, potassium and vitamin A. Carbohydrate: protein: fat (C: P: F) ratio for metabolic syndrome group showed higher rate for carbohydrate, than normal group, in 2005, and 2007. Overall, the higher age and income level, the more carbohydrate intake rate is increase in metabolic syndrome group. The Quality of each nutrient intake was assessed using NAR (Nutrient adequacy ratio) and MAR (Mean adequacy ratio). According to the MAR, there was significant difference in 2005, 0.83 for normal group and 0.81 for metabolic syndrome group but there wasn't any in 2007 (0.81 for normal group, 0.82 for metabolic syndrome group). By NAR, in 2005, all nutrient except phosphorus, iron, vitamin A for Normal group higher then those of metabolic syndrome group (p < 0.05). In 2007 intake of metabolic syndrome group were higher then those normal group in most of nutrient by NAR. For age, education and income, MAR for normal group is higher then that of metabolic syndrome. In conclusion, Quality of nutrient intake in normal group is better then in metabolic syndrome group. Therefore, it is necessary to monitor dietary of intake people with metabolic syndrome, and necessary measures should be taken.

• 생명과학회지
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• 제33권3호
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• pp.287-294
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• 2023

건강한 adipose tissue는 대사 항상성 통해 비만을 막는데 중요하다고 할 수 있다. Adipose tissue는 포도당과 지질 대사를 통해 에너지 균형에 중요한 역할을 한다. 영양분 상태에 따라, adipose tissue는 지질을 저장하여 커지기도 하고, 지질 분해를 통해 에너지를 소비하기도 한다. 게다가, adipose tissue는 호르몬 분비기관으로 작용이 부각되고 있다. 다양한 adipose tissue 호르몬이 존재하며, metabolic signaling을 통해 다른장기와 조직에 영향을 준다. 예를 들면, adipose tissue에서 분비하는 대표적인 펩타이드 호르몬(adipokine)은 섭식조절을 위해 뇌의 중추신경을 자극한다. 또한 adipocytes도 염증성 cytokines을 분비하여 adipose tissue의 immune cells을 표적으로 한다. 당연하게도, adipocytes는 지질에서 만들어지는 호르몬(lipokine)이 분비되어 특정 수용체와 결합하여 paracrine 및 endocrine으로 영향을 준다. 이러한 adipose tissue 호르몬에 의한 장기 조직 간의 상호작용을 이해하기 위해서는, 세부적인 adipocytes 및 다른 표적 세포에서 metabolic sig- naling이 규명되어야 한다. 그러므로, 과체중이나 비만의 건강하지 못한 adipose tissue에서는 metabolic sig- naling의 비정상적인 조절이 일어난다고 할 수 있다. 새로운 adipose metabolic signaling을 표적으로 하는 치료제는 항 비만 약물개발을 이끌어 낼 수 있다. 본 총설논문은 비만과 대사질환 관점에서 adipose tissue 호르몬과 metabolic signaling의 최신 연구결과를 요약 정리한다.

• 한국학교ㆍ지역보건교육학회지
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• 제16권2호
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• pp.17-31
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• 2015

Objectives: This study aimed to analyze the relationship between metabolic syndrome and cataract in a middle-aged men over the age of 40's by using the data from the 5th Korean National Health and Nutrition Examination Survey(2010~2012). Methods: The subjects for the analysis were comprised of 5,808 patients who were at least 40 years or more with metabolic syndrome and cataract. The comparison between the metabolic syndrome and ophthalmic diseases according to the health demographic characteristics, health behavior and health conditions was analyzed with ${\chi}^2-test$. The complex samples logistic regression analysis was used to calculate the odds ratio of cataract according to the health demographic characteristics, health behavior and health conditions and the combination of the comprising factors of the metabolic syndrome. Results: After controlling the confounding factors, the odds ratio of cataract in the metabolic syndrome group was OR 1.30, which was significantly high (p<0.01). Furthermore, the odds ratio of cataract was significantly high in the case of males, as the age increased, educational level decreased, with exercising habits of less than 3 days a week, sun exposure of at least 5 hours, with hypertension and diabetes (p<0.01). The results of analyzing the odds ratio for the occurrence of cataract with the components of metabolic syndrome were OR 1.36 (concurrent high fasting blood glucose, high triglycerides, low HDL cholesterol), OR 1.63 (concurrent high fasting blood glucose, high triglycerides, high waist circumference) and OR 1.33 (high triglycerides, low HDL cholesterol, high waist circumference), which showed significantly high odds ratio for cataract occurrence (p<0.05). Conclusions: We come to know that the relation between metabolic syndrome and components are associate with cataract. Therefore the thorough management of metabolic syndrome and components is needed to prevent cataract.

• 한국생물정보학회:학술대회논문집
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• 한국생물정보시스템생물학회 2003년도 제2차 연례학술대회 발표논문집
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• pp.251-257
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• 2003

Metabolic engineering has become a new paradigm for the more efficient production of desired bioproducts. Metabolic engineering can be defined as directed modification of cellular metabolism and properties through the introduction, deletion, and modification of metabolic pathways by using recombinant DNA and other molecular biological tools. During the last decade, metabolic flux analysis(MFA) has become an essential tool fur metabolic engineering. By MFA, the intracellular metabolic fluxes can be quantified by the measurement of extracellular metabolite concentrations in combination with the stoichiometry of intracellular reactions and mass balances. The usefulness and functionality of MFA are demonstrated by applying to metabolic pathways in E. coli. First, a large-scale in silico E. coli model is constructed, and then the effects of carbon sources on intracellular flux distributions and succinic acid production were investigated on the basis of the uptake and secretion rates of the relevant metabolites. The results indicated that succinic acid yields increased in order of gluconate, glucose and sorbitol. Acetic acid and lactic acid were produced as major products rather than when gluconate and glucose were used carbon sources. The results indicated that among three carbon sources available, the most reduced substrate is sorbitol which yields efficient succinic acid production.