• Journal of Preventive Medicine and Public Health
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• v.49 no.3
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• pp.143-152
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• 2016

Objectives: Metabolic syndrome is a cluster of risk factors for type 2 diabetes mellitus and cardiovascular disease. Associations between metabolic syndrome and several types of cancer have recently been documented. Methods: We analyzed the sample cohort data from the Korean National Health Insurance Service from 2002, with a follow-up period extending to 2013. The cohort data included 99 565 individuals who participated in the health examination program and whose data were therefore present in the cohort database. The metabolic risk profile of each participant was assessed based on obesity, high serum glucose and total cholesterol levels, and high blood pressure. The occurrence of cancer was identified using Korean National Health Insurance claims data. Hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated using Cox proportional hazards models, adjusting for age group, smoking status, alcohol intake, and regular exercise. Results: A total of 5937 cases of cancer occurred during a mean follow-up period of 10.4 years. In men with a high-risk metabolic profile, the risk of colon cancer was elevated (HR, 1.40; 95% CI, 1.14 to 1.71). In women, a high-risk metabolic profile was associated with a significantly increased risk of gallbladder and biliary tract cancer (HR, 2.05; 95% CI, 1.24 to 3.42). Non-significantly increased risks were observed in men for pharynx, larynx, rectum, and kidney cancer, and in women for colon, liver, breast, and ovarian cancer. Conclusions: The findings of this study support the previously suggested association between metabolic syndrome and the risk of several cancers. A high-risk metabolic profile may be an important risk factor for colon cancer in Korean men and gallbladder and biliary tract cancer in Korean women.

• Journal of Korean society of Dental Hygiene
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• v.18 no.6
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• pp.1079-1090
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• 2018

Objectives: This study aims to provide fundamental data on seeking more effective programs for metabolic syndrome patients' oral health by researching their knowledge, attitude and behaviors on oral health and considering the effects each factor has on the oral health impact profile. Methods: The research was conducted on 155 patients with metabolic syndrome who visited the metabolic syndrome center of S district between July $19^{th}$, 2016 and August 27th, 2016. Results: When the subjects had experiences of oral treatment within the past year, which indicated lower quality of life in relation to oral health. Oral health knowledge had a positive correlation with oral health attitude (0.241) and oral health behaviors (0.362), had a negative correlation with oral health impact profile (-0.283). Oral health attitude showed a positive correlation with oral health behaviors (0.476) (p<0.001). Conclusions: By conducting a oral health promotion business among metabolic syndrome patients including a oral care and treatment program which aim to enhance the oral knowledge, attitude and behaviors and comprehensively manage the oral health education program, it is expected that their quality of life related to oral health could be further improved.

• Archives of Pharmacal Research
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• v.7 no.2
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• pp.101-107
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• 1984

The concentrations of metabolites of low molecular weights (90 to 310 amu) present in rat urine were determined by field ionization mass spectrometry. Three groups of rats were examined; intact controls, sham-operated rats and rats with selective lesions in their hypothalamus. The latter lesions are shown to induce characteristic aberrations in the metabolic profile, demonstrable five weeks after treatment, which are distinct from those induced by a sham operation.

• 한국생물공학회:학술대회논문집
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• 2003.04a
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• pp.311-314
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• 2003

Under hyperosmotic stress, rCHO cells display decreased specific growth rate $({\mu})$ and increased specific antibody productivity $(q_{Ab})$. The effects of hyperosmotic stress on batch culture cellular dynamics are not well understood. To this end, we conducted a proteome profile of rCHO cells, using 2D-gel, MALDI-TOF-MS and MS/MS. As a result, the proteome profile of rCHO cells could be established using 41 identified proteins. Based on this proteome profile of rCHO cells, we have found at least 8 differently expressed spots at hyperosmotic osmolality (450 mOsm/kg). Among these spots, two metabolic enzymes were found to be up-regulated (pyruvate kinase and GAPDH), while down-regulated protein was identified as tubulin. It shows that hyperosmotic stress can alter metabolic state, by up-regulated activities of two glycolysis enzymes, which could lead to activate the generation of metabolic energy. Tubulin expression was down-regulated, suggesting a reduction of cell division. Finally, the increased conversion energy could leads to improve overall productivity.

• Biomedical Science Letters
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• v.18 no.3
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• pp.260-267
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• 2012

Obesity is associated with cardiovascular risk factors, such as dyslipidemia, hypertension and diabetes. However the presence of the obesity related deranged metabolic profiles varies widely among obese individuals. These individuals, known as 'metabolically healthy obese phenotype (MHO)', despite having excessive body fatness, display favorable metabolic profiles characterized by insulin sensitivity, no hypertension, as well as less dyslipidemia, less inflammation. The purpose of this study was to compare cardiac characterization and clinical profile of MHO and Non-MHO (nonmetabolically healthy obese) subjects in men. We measured treadmill exercise capacity (METs) and maximum blood pressure (BP) in 210 subjects through a medical checkup at J General Hospital. Metabolic syndrome was defined according to the modified Adult Treatment Panel III definition criteria. Both MHO and Non-MHO subjects showed statistically significant changes in the left ventricular mass index (P<.001, P<.01, respectively), A-velocity (P<.01, P<.001, respectively), E/A ratio (P<.01, P<.001, respectively), E'-velocity (P<.001, P<.001, respectively), HOMA-IR (P<.01, P<.001, respectively) and maximum systolic BP (P<.01, respectively) compared with the MH-NO (metabolically healthy non obese) subjects. In conclusion, MHO participants were at increased risk of cardiovascular disease and partly metabolic disorder.

• Journal of Applied Biological Chemistry
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• v.56 no.2
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• pp.109-112
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• 2013

Azole fungicides are one of the most wide-spread antifungal compounds in agriculture and pharmaceutical applications. Their major mode of action is the inhibition of ergosterol biosynthesis, giving depletion of ergosterol, precursors and abnormal steroids. However, metabolic consequences of such inhibition, other than steroidal metabolitesare not well established. Comprehensive metabolic profiles of Saccharomyces cerevisiae has been presented in this study. Wild type yeast was treated either with glucose as control or azole fungicide (ketoconazole). Both polar metabolites and lipids were analyzed with gas chromatography-mass spectrometry. Approximately over 180 metabolites were characterized, among which 18 of them were accumulated or depleted by fungicide treatment. Steroid profile gives the most prominent differences, including the accumulation of lanosterol and the depletion of zymosterol and ergosterol. However, the polar metabolite profile was also highly different in pesticide treatment. The concentration of proline and its precursors, glutamate and ornithine were markedly reduced by ketoconazole. Lysine and glycine level was also decreased while the concentrations of serine and homoserine were increased. The overall metabolic profile indicates that azole fungicide treatment induces the depletion of many polar metabolites, which are important in stress response.

• Journal of Microbiology and Biotechnology
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• v.16 no.7
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• pp.1139-1143
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• 2006

Various techniques and strategies have been developed for the identification of intracellular metabolic conditions, and among them, isotope balance-based flux analysis with gas chromatography/mass spectrometry (GC/ MS) has recently become popular. Even though isotope balance-based flux analysis allows a more accurate estimation of intracellular fluxes, its application has been restricted to relatively small metabolic systems because of the limited number of measurable metabolites. In this paper, a strategy for incorporating isotope balance-based flux data obtained for a small network into metabolic flux analysis was examined as a feasible alternative allowing more accurate quantification of intracellular flux distribution in a large metabolic system. To impose GC/MS based data into a large metabolic network and obtain optimum flux distribution profile, data reconciliation procedure was applied. As a result, metabolic flux values of 308 intracellular reactions could be estimated from 29 GC/ MS based fluxes with higher accuracy.

• Journal of the korean veterinary medical association
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• v.34 no.5
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• pp.301-312
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• 1998

• Korean Journal of Veterinary Service
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• v.42 no.2
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• pp.121-126
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• 2019

Metabolic profile test is used to evaluate nutritional imbalance and metabolic disease in dairy cows. The reference intervals of metabolic parameters may change according to nation, region, decades, and maintenance system. Despite the need to be periodically updated for the reference intervals of metabolic parameters, it has rarely been investigated in Korea. Therefore, this aim of study was to provide the reference intervals of metabolic parameters using dairy cows surveyed in Korea during recent years. A metabolic profile test was conducted for 2,976 clinically healthy dairy cows in Korea. Blood samples were collected for the analysis of serum metabolites. This study provided reference intervals of thirteen metabolic parameters (${\beta}$-hydroxybutyrate [${\beta}-HB$], non-esterified fatty acids [NEFA], glucose, total cholesterol [T-COL], total protein, albumin, globulin, blood urea nitrogen [BUN], aspartate aminotransferase [AST], gamma-glutamyl transferase [GGT], calcium, phosphorus, and magnesium). BUN and AST values of the current study were higher than those of previous studies. In the present study, the other metabolic parameters showed low or similar value compared to previous results. Moreover, ${\beta}-HB$, NEFA, T-COL, ALB, BUN, AST, and GGT values were affected by lactation period. This study provided information on the reference intervals of metabolites in healthy dairy cows in Korea. The reference intervals from the present study would be useful in managing and diagnosing disease of dairy cows. However, careful attention should be given in interpreting disease condition for metabolites affected by lactation.

• Journal of Interdisciplinary Genomics
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• v.4 no.2
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• pp.35-38
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• 2022

Background: Prader-Willi syndrome (PWS) is a complex genetic disease associated with growth impairment, severe obesity and metabolic dysfunctions. High proportion of PWS patients are born small for gestational age (SGA) than normal children, which also increase the risk of growth impairment and metabolic dysfunction in PWS. We aimed to compare growth outcome and metabolic profiles between SGA and appropriate for gestational age (AGA) PWS patients. Methods: Data of 55 PWS children and adults aged more than 2 years old (32 male and 23 female, age 2-18.8 years) from single center were studied. Only patients who were treated with GH were included. The clinical characteristics and laboratory findings were reviewed retrospectively. Results: Among 55 subjects, 39 had 15q11-13 deletion and 16 had uniparental disomy (UPD). Twenty (36.3%) were born SGA. All patients received GH treatment, and 11 (20%) discontinued GH treatment. Mean age at GH treatment initiation was 2.5 (range 0.3-12.4) years, and mean duration of treatment was 6.3 (range 1.0-11.3) years. Current height-SDS (-0.36 vs -0.16) and BMI-SDS (1.44 vs 1.33) did not differ between AGA and SGA group. Two patients in SGA group, but none in AGA group had diabetes mellitus. Mean glucose level was also higher in SGA group (100.1 vs 114.4 mg/dL). Conclusion: Our report gives an overview of growth profile and metabolic dysfunctions recorded in GH treated PWS patients. Growth profile did not differ between AGA and SGA group. Glucose level was higher in SGA group, so more careful monitoring and prevention for DM will be required in SGA group.