• Journal of Korean Society of Forest Science
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• v.98 no.6
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• pp.681-689
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• 2009

We investigated the effect of Rhus verniciflua Stokes extract ingestion with exercise training on plasma lipids and insulin resistance for 8 weeks. Forty SD (Sprague-Dawley) male rats were used as the experimental animals that were divided into CON (control), RVS (Rhus verniciflua Stokes), EXE (exercise training), and RVS-EXE (Rhus verniciflua Stokes with exercise training), respectively. Body weight gain in EXE (202%) and RVS-EXE (203%) was significantly lower than CON (253%) and RVS (239). Stored fats were significantly lower with RVS and/or exercise training. Blood lipids were enhanced in RVS and RVS-EXE compared to CON. Blood glucose was significantly high in CON compared to the other groups. Insulin and HOMA index has the same tendencies with glucose, however, the synergic effect was found in RVS-EXE. In conclusion, Rhus verniciflua Stokes extract ingestion with exercise training has the effect of lowering amount of stored fats, reducing blood lipids, and enhancing insulin resistance, therefore, metabolic syndrome, diabetes, obesity, and hyperlipidemia might be prevented.

• Journal of Nutrition and Health
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• v.40 no.3
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• pp.259-269
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• 2007

Recently, dietary pattern analysis was emerged as an approach to examine the relationships between diet and risk of chronic diseases. This study was to identify groups with population who report similar dietary pattern in Korean genome epidemiology study (KoGES) and association with several chronic diseases. The cohort participants living in Ansung and Ansan (Gyeonggi province) were totally 10,038. Among those, 6,873 subjects with no missing values in food frequency questionnaire were included in this analysis. After combining 103 food items into 17 food groups, 4 dietary factors were obtained by factor analysis based on their weights. Factor 1 showed high factor loadings in vegetables, mushrooms, meats, fish, beverages, and oriental-cereals. Factor 2 had high factor loadings in vegetables, fruits, fish, and factor 3 had high factor loadings in cereal-oriental, cerial-western and snacks. Factor 4 showed positive high factor loadings in rice and Kimchi and negative factor loadings in mushrooms and milk and dairy products. Using factor scores of four factors, subjects were classified into 3 clusters by K-means clustering. We named those 'Rice and Kimchi eating' group, 'Contented eating' group, and 'Healthy and light eating' group depending on their eating characteristics. 'Rice and Kimchi eating' group showed high prevalence in men, farmers and 60s. 'Contented eating' group and 'Healthy and light eating' group had high prevalence in women, people living in urban area (Ansan Citizen), with high-school education and above, and a monthly income of one million won and more. 'Contented eating' group appeared lower distribution proportion in the sixties and 'Healthy and light eating' group does higher in the fifties. 'Contented eating' versus 'Rice and Kimchi eating', odds ratio for hypertension, diabetes, metabolic syndrome and obesity significantly decreased after adjusting age and sex (OR=0.64, 0.73, and 0.85 respectively, 95% CI). Although our results were from a cross-sectional study, these imply that the dietary patterns were related to diseases.

• Clinical and Experimental Pediatrics
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• v.55 no.4
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• pp.121-127
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• 2012

Purpose: Improved survival of patients with childhood acute lymphoblastic leukemia (ALL) has drawn attention to the potential for late consequences of previous treatments among survivors, including metabolic syndrome. In this study, we evaluated changes in 3 parameters, namely, random blood glucose, body mass index (BMI), and Z score for BMI (Z-BMI), in children with ALL during chemotherapy and after completion of treatment. Methods: Patients newly diagnosed with ALL from January, 2005 to December, 2008 at Saint Mary's Hospital, The Catholic University of Korea, who completed treatment with chemotherapy only were included (n=107). Random glucose, BMI, and Z-BMI were recorded at 5 intervals: at diagnosis, before maintenance treatment, at completion of maintenance treatment, and 6 and 12 months after completion of maintenance treatment. Similar analyses were conducted on 2 subcohorts based on ALL risk groups. Results: For random glucose, a paired comparison showed significantly lower levels at 12 months post-treatment compared to those at initial diagnosis ($P$ <0.001) and before maintenance ($P$ <0.001). The Z-BMI score was significantly higher before maintenance than at diagnosis ($P$ <0.001), but decreased significantly at the end of treatment ($P$ <0.001) and remained low at 6 months ($P$ <0.001) and 12 months ($P$ <0.001) post-treatment. Similar results were obtained upon analysis of risk group-based subcohorts. Conclusion: For a cohort of ALL patients treated without allogeneic transplantation or cranial irradiation, decrease in random glucose and Z-BMI after completion of chemotherapy does not indicate future glucose intolerance or obesity.

• Bulletin of the Korean Chemical Society
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• v.30 no.5
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• pp.1152-1156
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• 2009

Silent information regulator 2 (Sir2) or sirtuins are NAD(+)-dependent deacetylases, which hydrolyze the acetyllysine residues. In mammals, sirtuins are classified into seven different classes (SIRT1-7). SIRT1 was reported to be involved in age related disorders like obesity, metabolic syndrome, type II diabetes mellitus and Parkinson’s disease. Activation of SIRT1 is one of the promising approaches to treat these age related diseases. In this study, we have used HipHop module of CATALYST to identify a series of pharmacophore models to screen SIRT1 enhancing molecules. Three molecules from Sirtris Pharmaceuticals were selected as training set and 607 sirtuin activator molecules were used as test set. Five different hypotheses were developed and then validated using the training set and the test set. The results showed that the best pharmacophore model has four features, ring aromatic, positive ionization and two hydrogen-bond acceptors. The best hypothesis from our study, Hypo2, screened high number of active molecules from the test set. Thus, we suggest that this four feature pharmacophore model could be helpful to screen novel SIRT1 activator molecules. Hypo2-virtual screening against Maybridge database reveals seven molecules, which contains all the critical features. Moreover, two new scaffolds were identified from this study. These scaffolds may be a potent lead for the SIRT1 activation.

• Journal of the Korean Data and Information Science Society
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• v.28 no.4
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• pp.769-781
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• 2017

The purpose of this study was to investigate the effects of nurses' perceived burden from work and health problems on the presentism of nurses. The study subjects were recruited from four general and tertiary hospitals in K province and D metropolitan city. A quarter of nurses had shoulder, back, and neck pain and average number of health problems was 3.62. The nurses' presenteeism score was $43.37{\pm}12.43$ points out of 100 points. There was a statistically significant relationship between nurses' perceived burden, numbers of health problems, and presenteeism. The numbers of health problems and perceived burden of nurses had significant effects on presenteeism of nurses while controlling demographic factors such as length of work experience, job position, types of hospital, and gender. These results suggested that the less burden from work and the lower number health problems could result in the lower level of presenteeism of nurses. Therefore, it is necessary to develop diverse strategies to reduce the burden of nurses and health problems at both individual and organizational levels as a way to increase productivity of hospital.

• Journal of the Korean Society of Radiology
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• v.15 no.3
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• pp.337-344
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• 2021

Coronary artery calcification is associated with cardiovascular risk factors and metabolic syndrome, and several studies have already reported that coronary artery calcification score are closely related to the amount of atherosclerotic plaques. This study was conducted on 109 patients who underwent coronary calcium CT who visited the comprehensive health examination center in Daegu city during the period from December 2020 to February 2021. we would like to investigate the relationship between coronary artery calcification score and blood factors. As a result of the study, the abnormal group increased the risk of calcification by 1.113 times compared to the normal group in the waist circumference factor. In the fasting glucose factor, the abnormal group increased the risk of calcification by 1.036 times compared to the normal group, and in the triglyceride factor, the abnormal group was normal. As the risk of calcification increased 1.008 times compared to the group, the waist circumference factor, fasting glucose factor, and triglyceride factor were found to be factors affecting coronary artery calcification score. The risk of developing calcification is primarily associated with waist circumference, anemia and triglycerides, and health care and health checks are expected to help reduce the incidence of cardiovascular disease and reduce medical costs.

• Journal of Korea Society of Industrial Information Systems
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• v.25 no.6
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• pp.33-45
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• 2020

This paper aims to look at the perspective that the latest cutting-edge technologies are predicting individual diseases in the actual medical environment in a situation where various types of wearable devices are rapidly increasing and used in the healthcare domain. Through the process of collecting, processing, and transmitting data by merging clinical data, genetic data, and life log data through a user-participating wearable device, it presents the process of connecting the learning model and the feedback model in the environment of the Deep Neural Network. In the case of the actual field that has undergone clinical trial procedures of medical IT occurring in such a high-tech medical field, the effect of a specific gene caused by metabolic syndrome on the disease is measured, and clinical information and life log data are merged to process different heterogeneous data. That is, it proves the objective suitability and certainty of the deep neural network of heterogeneous data, and through this, the performance evaluation according to the noise in the actual deep learning environment is performed. In the case of the automatic encoder, we proved that the accuracy and predicted value varying per 1,000 EPOCH are linearly changed several times with the increasing value of the variable.

• Journal of the Korean Society of Radiology
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• v.17 no.3
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• pp.423-431
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• 2023

The purpose of this study is to analyze the factors affecting the classification of the severity of contrast media side effects based on the patient's body information using artificial intelligence techniques to be used as basic data to reduce the degree of contrast medium side effects. The data used in this study were 606 examiners who had no contrast medium side effects in the past history survey among 1,235 cases of contrast medium side effects among 58,000 CT scans performed at a general hospital in Seoul. The total data is 606, of which 70% was used as a training set and the remaining 30% was used as a test set for validation. Age, BMI(Body Mass Index), GFR(Glomerular Filtration Rate), BUN(Blood Urea Nitrogen), GGT(Gamma Glutamyl Transgerase), AST(Aspartate Amino Transferase,), and ALT(Alanine Amiono Transferase) features were used as independent variables, and contrast media severity was used as a target variable. AUC(Area under curve), CA(Classification Accuracy), F1, Precision, and Recall were identified through AdaBoost, Tree, Neural network, SVM, and Random foest algorithm. AdaBoost and Random Forest show the highest evaluation index in the classification prediction algorithm. The largest factors in the predictions of all models were GFR, BMI, and GGT. It was found that the difference in the amount of contrast media injected according to renal filtration function and obesity, and the presence or absence of metabolic syndrome affected the severity of contrast medium side effects.

• Applied Microscopy
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• v.41 no.2
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• pp.109-116
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• 2011

Polycystic ovary syndrome (PCOS) is hormonal imbalance condition as the endocrine and metabolic disorder that induces the infertility and various complications in reproductive age women. Estradiol valerate (EV) is used hormone replacement therapy in menopausal women and is reported that excessive administration of EV induces the PCOS. Nerve growth factor (NGF) is the factor to regulate the survival and maturation of developing neuronal cell and is also synthesized in ovary. And NGF is overexpressed in EV-induced polycystic ovary (PCO) as previously reported. Therefore, this study examined the possibility of NGF as can be used the biological marker in diagnosis of PCOS, the hormonal imbalance condition, using PCO and CHO (chinese hamster ovarian) cell lines. The concentration of EV treatment is optimized a 1 mg as not influence on the proliferation of CHO cell but 2 mg and 3 mg of EV treatment have the inhibition effect at initial stage. The morphological change was not observed in CHO cell after dose dependent manner treatment of EV. Expression of NGF mRNA and protein is significantly increased at 30 min after EV treatment in CHO cells compared to that of control. And NGF protein expression is strongly increased in PCO tissue, which observed many follicular cysts compared to normal ovary tissue. Taken together, overexpression of NGF may be act as a molecule to induce an abnormal development of follicle, suggesting that NGF can be used as a biological marker in diagnosis of PCOS.

• Journal of Life Science
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• v.29 no.4
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• pp.484-491
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• 2019

Proanthocyanidins are naturally occurring polyphenolic compounds abundant in many vegetables, plant skins (rind/bark), seeds, flowers, fruits, and nuts. Numerous in vitro and in vivo studies have demonstrated myriad effects potentially beneficial to human health, such as antioxidation, immunomodulation, DNA repair, and antitumor activity. Among immune cells, macrophages are crucial players in a variety of inflammatory responses to environmental conditions. However, it has been widely reported that macrophages cause chronic inflammation and are involved in a variety of diseases, such as obesity, diabetes, metabolic syndrome, and cancer. In this study, we report the suppressive effect of proanthocyanidins via the heme oxygenase-1 (HO-1)-related system, on the immune response of the LPS-stimulated mouse macrophage cell line RAW264.7. Increased HO-1 expression at mRNA and protein levels were found in proanthocyanidins-treated RAW264.7 cells. Further, proanthocyanidins enhanced nuclear factor-erythroid 2-related factor 2 translocation into the nucleus. RAW264.7 cells were treated with lipopolysaccharide (LPS) with or without proanthocyanidins, and inflammatory mediator expression levels were assessed. Proanthocyanidins treatment resulted in the attenuation of nitric oxide production and inducible nitric oxide synthase expression in LPS-stimulated RAW264.7 cells. In addition, mRNA and protein expression of proinflammatory cytokines, such as tumor necrosis factor-${\alpha}$ and interleukin-6, was inhibited by proanthocyanidins treatment in LPS-stimulated RAW264.7 cells. These findings support proanthocyanidins as a promising anti-inflammatory agent.