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Lee, Yang-Bong,Raghavan, Sivakumar,Nam, Min-Hee,Choi, Mi-Ae,Hettiarachchy, Navam S.,Kristinsson, Hordur G.,Marshall, Maurice R. The Korean Society of Food Science and Nutrition 2009 Preventive Nutrition and Food Science Vol.14 No.4
Cryotin F could be used for hydrolyzing shrimp byproducts into bioactive ingredients, which could be used as value-added products. The objective of this study was to investigate the optimum condition for antioxidative activities of the enzymatic hydrolysate produced with Cryotin F using response surface methodology with central composite rotatable design. Shrimp byproducts (shells and heads) were hydrolyzed with Cryotin F. The experimental ranges of the independent variables for 20 experimental runs were 28.2-61.8${^{\circ}C}$ reaction temperature, pH 6-10 and 0.5-5.5% enzyme concentration. The degree of hydrolysis for the reaction products was measured. Their antioxidative activities were measured using 1,1-diphenyl-2-picryl-hydrazyl (DPPH) scavenging activity and Fe-chelating activity. The experimental method with central composite rotatable design was well designed to investigate the optimum condition for biofunctional ingredients with antioxidative activities using Cryotin F because of their high R2 values of 0.97 and 0.95 for DPPH-scavenging activity and Fe-chelating activity, respectively. Change in enzyme concentration did not significantly affect their antioxidative activities (p<0.05). Both DPPH scavenging activity and chelating activity against Fe for the enzyme hydrolysates were more affected by the pH of enzyme hydrolysis than by their action temperature. DPPH-scavenging activity was higher at acidic pH than alkali pH, while chelating activity against Few was inversely affected. Hydrolysate of shrimp byproducts showed high antioxidative activities depending on the treatment condition, so the optimum treatment of enzymatic hydrolysate with Cryotin F and other proteases can be applied to shrimp byproducts (shells) and other protein sources for biofunctional ingredients.
Yang-Bong Lee,Sivakumar Raghavan,Min-Hee Nam,Mi-Ae Choi,Navam S. Hettiarachchy,Hordur G. Kristinsson,Maurice R. Marshall 한국식품영양과학회 2009 Preventive Nutrition and Food Science Vol.14 No.4
Cryotin F could be used for hydrolyzing shrimp byproducts into bioactive ingredients, which could be used as value-added products. The objective of this study was to investigate the optimum condition for antioxidative activities of the enzymatic hydrolysate produced with Cryotin F using response surface methodology with central composite rotatable design. Shrimp byproducts (shells and heads) were hydrolyzed with Cryotin F. The experimental ranges of the independent variables for 20 experimental runs were 28.2~61.8℃ reaction temperature, pH 6~10 and 0.5~5.5% enzyme concentration. The degree of hydrolysis for the reaction products was measured. Their antioxidative activities were measured using 1,1-diphenyl-2-picryl-hydrazyl (DPPH) scavenging activity and Fe-chelating activity. The experimental method with central composite rotatable design was well designed to investigate the optimum condition for biofunctional ingredients with antioxidative activities using Cryotin F because of their high R² values of 0.97 and 0.95 for DPPH-scavenging activity and Fe-chelating activity, respectively. Change in enzyme concentration did not significantly affect their antioxidative activities (p<0.05). Both DPPH scavenging activity and chelating activity against Fe for the enzyme hydrolysates were more affected by the pH of enzyme hydrolysis than by their action temperature. DPPH-scavenging activity was higher at acidic pH than alkali pH, while chelating activity against Few was inversely affected. Hydrolysate of shrimp byproducts showed high antioxidative activities depending on the treatment condition, so the optimum treatment of enzymatic hydrolysate with Cryotin F and other proteases can be applied to shrimp byproducts (shells) and other protein sources for biofunctional ingredients.
Lee, Yu-Mi,Bae, Sang-Geun,Lee, Seon-Hwa,Jacobs Jr, David R.,Lee, Duk-Hee The Korean Academy of Medical Sciences 2013 JOURNAL OF KOREAN MEDICAL SCIENCE Vol.28 No.8
<P>There are substantial variations of relative risks (RR) in smoking-related mortality by country and time. We hypothesized the RRs in smoking-related mortality might differ depending on serum concentrations of persistent organic pollutants (POPs). We evaluated the associations of cigarette smoking with total mortality in 610 elderly (aged ≥ 70 yr) (702 elderly for organochlorine pesticides [OCPs]) after stratification by serum concentration of POPs, in the National Health and Nutrition Examination Survey (NHANES) 1999-2004 followed through 2006. Summary measures of POPs subclasses showed significant or marginally significant interaction with cigarette smoking on the risk of total mortality. <I>P</I> values for interaction were 0.069 for polychlorinated dibenzo-p-dioxins (PCDDs), 0.008 for polychlorinated biphenyls (PCBs), and 0.024 for OCPs. The effect of smoking on total mortality showed different patterns according to the serum concentration of some POPs. Former or current smokers had 1.4 to 2.9 times higher mortality rates compared with never smokers among participants with higher serum concentrations of POPs (2nd or 3rd tertiles). However, when the level of PCBs or OCPs were low (1st tertile), there were little positive associations between smoking and mortality. Our study suggests that the background exposure to several POPs may be related to variability in smoking-related total mortality.</P>
Lee, Sang Kyu,Lee, Dong Ju,Jeong, Hemin,Bista, Sudeep R.,Kang, Mi Jeong,Lee, Eung Seok,Son, Jong Keun,Nam, Doo Hyun,Chang, Hyeun Wook,Lee, Seung Ho,Jahng, Yurngdong,Jeong, Tae Cheon Taylor Francis 2007 Journal of toxicology and environmental health. Pa Vol.70 No.15
<P> To determine a possible role of glutathione (GSH) conjugation in 1,3-dibromopropane (1,3-DBP)-induced hepatotoxicity and immunotoxicity, female BALB/c mice were treated orally with 1,3-DBP. Based on the liquid chromatography/electrospray ionization-tandem mass spectrometry (LC/ESI-MS) analyses, two forms of S-bromopropyl GSH were observed at m/z 427.9 and 429.9 in the positive ESI spectrum with a retention time of 5.29 and 5.23 min, respectively. Following single treatment of mice with 150, 300 or 600 mg/kg 1,3-DBP for 12 hr, the amount of S-bromopropyl GSH was detected maximally in liver homogenates at 600 mg/kg 1,3-DBP. Hepatic GSH levels were significantly decreased by treatment with 1,3-DBP. In a time course study, production of S-bromopropyl GSH rose maximally 6 hr after treatment and decreased gradually thereafter. The liver weights were significantly increased by treatment with 600 mg/kg 1,3-DBP. When mice were treated orally with 600 mg/kg 1,3-DBP for 12 hr, the activities of serum alanine aminotransferase (ALT) and aspartate aminotransferase (AST) were increased by 365- and 83-fold. In addition, oral 1,3-DBP significantly suppressed the antibody response to a T-dependent antigen at 600 mg/kg 1,3-DBP. 1,3-DBP elevated hepatic levels of malondialdehyde and suppressed the activities of some hepatic enzymes involved in anti-oxidation. Taken together, the formation of GSH conjugate with 1,3-DBP may deplete cellular GSH and, subsequently, produce hepatotoxicity and immunotoxicity via damage to the cellular anti-oxidative system.</P>
Seung Mi Lee,Suhyun Hwangbo,Errol R. Norwitz,Ja Nam Koo,Ig Hwan Oh,Eun Saem Choi,Young Mi Jung,Sun Min Kim,Byoung Jae Kim,Sang Youn Kim,Gyoung Min Kim,김원,Sae Kyung Joo,Sue Shin,Chan-Wook Park,Taesung 대한간학회 2022 Clinical and Molecular Hepatology(대한간학회지) Vol.28 No.1
Background/Aims: To develop an early prediction model for gestational diabetes mellitus (GDM) using machine learning and to evaluate whether the inclusion of nonalcoholic fatty liver disease (NAFLD)-associated variables increases the performance of model. Methods: This prospective cohort study evaluated pregnant women for NAFLD using ultrasound at 10–14 weeks and screened them for GDM at 24–28 weeks of gestation. The clinical variables before 14 weeks were used to develop prediction models for GDM (setting 1, conventional risk factors; setting 2, addition of new risk factors in recent guidelines; setting 3, addition of routine clinical variables; setting 4, addition of NALFD-associated variables, including the presence of NAFLD and laboratory results; and setting 5, top 11 variables identified from a stepwise variable selection method). The predictive models were constructed using machine learning methods, including logistic regression, random forest, support vector machine, and deep neural networks. Results: Among 1,443 women, 86 (6.0%) were diagnosed with GDM. The highest performing prediction model among settings 1–4 was setting 4, which included both clinical and NAFLD-associated variables (area under the receiver operating characteristic curve [AUC] 0.563–0.697 in settings 1–3 vs. 0.740–0.781 in setting 4). Setting 5, with top 11 variables (which included NAFLD and hepatic steatosis index), showed similar predictive power to setting 4 (AUC 0.719– 0.819 in setting 5, P=not significant between settings 4 and 5). Conclusions: We developed an early prediction model for GDM using machine learning. The inclusion of NAFLDassociated variables significantly improved the performance of GDM prediction. (ClinicalTrials.gov Identifier: NCT02276144)
Distribution and Characteristics of Avian Influenza Viruses from Wild Birds in Mongolia
Hyun Mi Kang,Ok Mi Jeong,Min Chul Kim,Ji Sun Kwon,Mi Ra Paek,Hye Ryoung Kim,Yong Joo Kim,Kang Seuk Choi,Batchuluun D,Erdene Ochir T,Sodnomdarjaa R,Jun Hun Kwon,Youn Jeong Lee 대한인수공통전염병학회 2008 창립총회 및 학술대회 초록집 Vol.2008 No.1