A study on the oral bioavailability and pharmacokinetics of an anticoccidal agent, toltrazuril, was conducted in broilers following a single oral doses of 10 mg/kg body weight (BW) or 40 mg/kg BW. The concentrations of toltrazuril in plasma were determined by a high-performance liquid chromatography/mass spectrometry. Plasma concentration-time data after single oral administration were analyzed by a non-compartmental analysis. Toltrazuril was very well-absorbed through the gastrointestinal tract with $C_{max}$ of $18.04{\pm}5.80{\mu}g/mL$ and $47.15{\pm}9.40{\mu]g/mL$ at $4.33{\pm}1.51h$ and $3.67{\pm}1.15h$ after oral dose of 10 mg/kg and 40 mg/kg in broilers, respectively. A comparison between 10 mg/kg and 40 mg/kg dose groups showed that $t_{max}$ were similar while $C_{max}$ and area under curve (AUC) increased with increasing dose.
Park, Ju-Hun;Sung, Ki-Seung;Kim, Sung-Soo;Shim, Gun-Sub;Han, Chan-Kyu
Journal of the Korean Society of Food Science and Nutrition
/
v.41
no.5
/
pp.630-637
/
2012
This study was performed to investigate the effects of puffed and fermented red ginseng on blood glucose-related biomarkers in streptozotocin-induced diabetic rats. Male Sprague-Dawley diabetic rats were orally injected with 0.85% NaCL as a diabetic control (DC), 300 mg/kg general red ginseng (RG), 300 mg/kg puffing red ginseng fermented by mixed strain culture of $Bifidobacterium$$breve$ and $Lactobacillus$$delbrueckii$ (BL), and 300 mg/kg puffing red ginseng fermented by $Enterococcus$$faecalis$ (EF) for 5 weeks. The blood glucose level of group BL was significantly lower maintained than in groups DC and RG for the experimental period (p<0.05). It was also significantly lower than in groups DC, RG, and EF at the 5th week (p<0.05). In the oral glucose tolerance test, the blood glucose of group BL was maintained the lowest level (p<0.05), and the area under the blood glucose curve (AUC) was also significantly lower in group BL than in group DC (p<0.05). The fasting blood glucose and insulin levels after the experiment were significantly low in group BL (p<0.05), and the HOMA-IR was more significantly low in groups BL and EF than in group DC (p<0.05). Also, the HbA1c content of group BL was significantly low than in groups DC and RG (p<0.05). The serum TC level was significantly decreased in groups RG, BL, and EF than in group DC (p<0.05), and the LDL-C content was significantly low in group BL than in group DC (p<0.05). From the findings, it was shown that the puffed and fermented red ginseng made using a mixed strain culture of $B.$$breve$ and $L.$$delbrueckii$ could improve blood glucose-related biomarkers.
The purpose of this study was to determine the effect of energy supplement on responses of plasma insulin-like growth factor (IGF)-1 and IGF binding proteins (IGFBPs) to growth hormone-releasing peptide-2 (GHRP-2) administration in normal protein-fed wethers, and to observe the effect of GHRP-2 treatment on hepatic growth hormone (GH) receptor in well-fed wethers. Plasma IGF-1 and 39-42 kDa IGFBP-3 during the HENP (CP, crude protein 0.34 and TDN, total digestible nutrients 1.83 kg/day DM, dry matter intake) treatment period were higher than in the LENP (CP 0.32 kg and TDN 0.87 kg/day DM intake) period (P<0.05). The response of GH was stimulated by GHRP-2 ($12.5\;{\mu}g/kg$ body weight/day) administration during both of the feed treatment periods (P<0.05). The area under curve (AUC) increment and average concentration of GH (0-180 min) with GHRP-2 administration was higher during HENP treatment than LENP treatment (P<0.01). During the HENP treatment period from day 1 to day 7 of twice daily GHRP-2 treatment, the plasma IGF-1 increment was increased on days 2, 6 and 7 of GHRP-2 administration (P<0.05). On the basis of ligand blotting, the proportions of plasma 39-43 kDa IGFBP-3 during the HENP treatment period only showed a significant difference on days 6 and 7 with GHRP-2 administration. No significant difference in the specific binding of $^{125}I-labeled$ oGH to hepatic membranes was detected between the saline and GHRP-2 treatments of the HENP-fed wethers. These results suggest that the nutritional balance between energy and protein may affect the endogenous GH / IGF-1 axis as well as plasma IGFBP-3 levels.
Journal of the Korean Society of Food Science and Nutrition
/
v.32
no.4
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pp.603-607
/
2003
To investigate the alcohol metabolizing system in liver of rats drunken 10% ethanol with Monascus pigment extract (MPE), Sprague-Dawley male rats weighing about 250 g have been drunken 10% ethanol containing 1, 2.5 and 5% Monascus pigment extract for a month. Three groups of rats drunken 10% ethanol with MPE gained somewhat less body weight than normal group, but the changes of body weight was not significantly different among the former groups. All groups drunken MPE supplemented alcohol had no remarkable changes in liver function on the basis of liver weight/body weight, the serum levels of alanine aminotransferase and xanthine oxidase activity. 10% alcohol drunken animals (control group) showed significantly increased activity of hepatic alcohol dehydrogenase (ADH) by 87% compared with normal group and the animals drunken 1%, 2.5% and 5% MPE showed respectively 34%, 29% and 21% increased activity of hepatic ADH, whileas Km value of ADH in 1, 2.5 and 5% MPE group decreased by 40%, 30% and 19% respectively compared with the control, but Vmax showed no significant changes among MPE groups. In case of aldehyde dehydrogenase (ALDH), 1% MPE group showed significantly increased activity by 32% and 2.5% or 5% MPE group showed increasing tendency compared with control, and Km value in three experimental groups declined by 27% and no particular changes were found among those. Furthermore, Vmax value in 1, 2.5 and 5% MEP group increased by 88,56 and 22% respectively with the control. In the aspect of the area under the curve of a ethanol concentration versus time (AUC) profile obtained after administration of 10% alcohol with 1 or 5% MPE, the decreasing rate of AUC to the control was 18% in 1% MPE treated rats whereas 10% in 5% MPE group.
Park, Ju-Hun;Lee, Kyoung-Won;Sung, Ki-Seung;Kim, Sung-Soo;Cho, Kyung-Dong;Lee, Bog-Hieu;Han, Chan-Kyu
Journal of the Korean Society of Food Science and Nutrition
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v.41
no.6
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pp.766-773
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2012
This study investigates the effects of diets with mulberry leaf and Cudrania tricuspidata leaf supplements on blood glucose-related biomarkers in streptozotocin-induced diabetic rats. Male diabetic Sprague-Dawley rats were divided into groups and fed several diets. Group A was fed a diet with a 10% supplement of mulberry leaves. Group B was fed a diet with a 10% supplement of mulberry leaves and an additional 10% supplement of Cudrania tricuspidata leaves. Group C was fed a diet with a 10% supplement of mulberry leaves and an additional 30% supplement of Cudrania tricuspidata leaves. Group D was fed a diet with a 10% supplement of Cudrania tricuspidata leaves. Group E was the DM control. All diets were based on AIN-93G diet and they all lasted 6 weeks. The blood glucose levels of groups B and C stayed similar to initial levels (reference blood glucose) for the experimental period, which was significantly lower than levels in groups A, D, and E at the 6th week (p<0.05). And the area under the blood glucose curve (AUC) was also significantly lower in groups B and C than in groups D and E (p<0.05). The fasting blood glucose level after the experiment was significantly lower in groups B and C (p<0.05), and the C-peptide content of group C was as high as 50 pmol/L on average. The HbA1c content was also significantly lower in groups A and B than in group E (p<0.05). The serum TG, AST, and ALT levels were significantly decreased in groups A, B, and D than in group E (p<0.05). From the findings, it is shown that a diet of 1:1 mulberry and Cudrania tricuspidata leaf supplements could improve blood glucose-related biomarkers.
Journal of the Korean Society of Food Science and Nutrition
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v.36
no.8
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pp.989-994
/
2007
This study was designed to investigate whether Sasa borealis leaves extracts (SLE) may inhibit yeast ${\alpha}-glucosidase$ and ${\alpha}-amylase$ activities and postprandial hyperglycemia in STZ-induced diabetic mice. Freeze-dried SLE was extracted with 70% methanol and followed by a sequential fractionation with dicholoromethan, ethylacetate, butanol, and water. Both ethylacetate and butanol fractions showed high inhibitory activities against the ${\alpha}-glucosidase$ and ${\alpha}-amylase$ enzymes. The $IC_{50}$ of ethylacetate and butanol fractions against ${\alpha}-glucosidase$ were 0.54 and 0.63 mg/mL, respectively, indicating a greater inhibition effect than acarbose (0.68 mg/mL) (p<0.05). Likewise, the two fractions exhibited a smaller $IC_{50}$ against ${\alpha}-amylase$, compared with acarbose (p<0.05). However, the yield of ethylacetate fraction of SLE was relatively small. Postprandial blood glucose testing of normal mice and STZ-induced diabetic mice by starch soln. loading (2 g/kg B.W.) showed that postprandial blood glucose level at 30, 60, and 120 min were markedly decreased by single oral administration of SLE butanol fraction (200 mg/kg B.W.) in both normal (p<0.0l) and diabetic mice (p<0.0l). Furthermore, the incremental area under the curve (AUC) was significantly lowered via SLE administration (5,745 versus 12,435 $mg{\cdot}mim/dL$) in the diabetic mice (p<0.0l). The incremental AUC in normal mice corroborated the hypoglycemic effect of SLE (p<0.0l) found in the diabetic mice. These results suggest that SLE may delay carbohydrate digestion and thus glucose absorption. In addition, SLE may have the potential to prevent and treat diabetes via its ability on lowering postprandial hyperglycemia.
Jinsol Hong;Heewon Hong;Sumin Pi;Soohyun Lee;Jae Ha Shin;Yongeun Kim;Kijong Cho
Korean Journal of Environmental Biology
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v.41
no.4
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pp.505-518
/
2023
The key to invasive pest management lies in preemptive action. However, most current research using species distribution models is conducted after an invasion has occurred. This study modeled the potential distribution of the globally notorious sweet potato pest, the sweet potato weevil(Cylas formicarius), that has not yet invaded Korea using MaxEnt. Using global occurrence data, bioclimatic variables, and topsoil characteristics, MaxEnt showed high explanatory power as both the training and test areas under the curve exceeded 0.9. Among the environmental variables used in this study, minimum temperature in the coldest month (BIO06), precipitation in the driest month (BIO14), mean diurnal range (BIO02), and bulk density (BDOD) were identified as key variables. The predicted global distribution showed high values in most countries where the species is currently present, with a significant potential invasion risk in most South American countries where C. formicarius is not yet present. In Korea, Jeju Island and the southwestern coasts of Jeollanam-do showed very high probabilities. The impact of climate change under shared socioeconomic pathway (SSP) scenarios indicated an expansion along coasts as climate change progresses. By applying the 10th percentile minimum training presence rule, the potential area of occurrence was estimated at 1,439 km2 under current climate conditions and could expand up to 9,485 km2 under the SSP585 scenario. However, the model predicted that an inland invasion would not be serious. The results of this study suggest a need to focus on the risk of invasion in islands and coastal areas.
Purpose: The performance of nitroglycerin-challenged Tc-99m-MIBI quantitative gated SPECT for the detection of viable myocardium was compared with rest/24-hour redistribution Tl-201 SPECT Materials and Methods: In 22 patients with coronary artery disease, rest Tl-20l/ dipyridamole stress Tc-99m-MIBI gated/24-hour redistribution Tl-201 SPECT were peformed, and gated SPECT was repeated on-site after sublingual administration of nitroglycerin (0.6 mg). Follow-up gated SPECT was done 3 months after coronary artery bypass graft surgery. For 20 segments per patient, perfusion at rest and 24-hour redistribution, and wall motion and thickening at baseline and nitroglycerin-challenged state were quantified. Quantitative viability markers were evaluated and compared;(1) rest thallium uptake, (2) thallium uptake on 24-hour redistribution SPECT, (3) systolic wall thickening at baseline, and (4) systolic wall thickening with nitroglycerin-challenge. Results: Among 100 revascularized dysfunctional segments, wall motion improved in 66 segments (66%) on follow-up gated myocardial SPECT after bypass surgery. On receiver operating characteristic (ROC) curve analysis, the sensitivity and specificity of rest and 24-hour delayed redistribution Tl-201 SPECT were 79%, 44% and 82%, 44%, respectively, at the optimal cutoff value of 50% of Tl-201 uptake. The sensitivity and specificity of systolic wall thickening at baseline and nitroglycerin-challenge were 49%, 50% and 64%, 65% at the optimal cutoff value of 15% of systolic wall thickening. Area under the ROC curve of nitroglycerin-challenged systolic wall thickening was significantly larger than that of baseline systolic wall thickening (p=0.004). Conclusion: Nitroglycerin-challenged quantitative gated Tc-99m-MIBI SPECT was a useful method for predicting functional recovery of dysfunctional myocardium.
Corporate bankruptcy can cause great losses not only to stakeholders but also to many related sectors in society. Through the economic crises, bankruptcy have increased and bankruptcy prediction models have become more and more important. Therefore, corporate bankruptcy has been regarded as one of the major topics of research in business management. Also, many studies in the industry are in progress and important. Previous studies attempted to utilize various methodologies to improve the bankruptcy prediction accuracy and to resolve the overfitting problem, such as Multivariate Discriminant Analysis (MDA), Generalized Linear Model (GLM). These methods are based on statistics. Recently, researchers have used machine learning methodologies such as Support Vector Machine (SVM), Artificial Neural Network (ANN). Furthermore, fuzzy theory and genetic algorithms were used. Because of this change, many of bankruptcy models are developed. Also, performance has been improved. In general, the company's financial and accounting information will change over time. Likewise, the market situation also changes, so there are many difficulties in predicting bankruptcy only with information at a certain point in time. However, even though traditional research has problems that don't take into account the time effect, dynamic model has not been studied much. When we ignore the time effect, we get the biased results. So the static model may not be suitable for predicting bankruptcy. Thus, using the dynamic model, there is a possibility that bankruptcy prediction model is improved. In this paper, we propose RNN (Recurrent Neural Network) which is one of the deep learning methodologies. The RNN learns time series data and the performance is known to be good. Prior to experiment, we selected non-financial firms listed on the KOSPI, KOSDAQ and KONEX markets from 2010 to 2016 for the estimation of the bankruptcy prediction model and the comparison of forecasting performance. In order to prevent a mistake of predicting bankruptcy by using the financial information already reflected in the deterioration of the financial condition of the company, the financial information was collected with a lag of two years, and the default period was defined from January to December of the year. Then we defined the bankruptcy. The bankruptcy we defined is the abolition of the listing due to sluggish earnings. We confirmed abolition of the list at KIND that is corporate stock information website. Then we selected variables at previous papers. The first set of variables are Z-score variables. These variables have become traditional variables in predicting bankruptcy. The second set of variables are dynamic variable set. Finally we selected 240 normal companies and 226 bankrupt companies at the first variable set. Likewise, we selected 229 normal companies and 226 bankrupt companies at the second variable set. We created a model that reflects dynamic changes in time-series financial data and by comparing the suggested model with the analysis of existing bankruptcy predictive models, we found that the suggested model could help to improve the accuracy of bankruptcy predictions. We used financial data in KIS Value (Financial database) and selected Multivariate Discriminant Analysis (MDA), Generalized Linear Model called logistic regression (GLM), Support Vector Machine (SVM), Artificial Neural Network (ANN) model as benchmark. The result of the experiment proved that RNN's performance was better than comparative model. The accuracy of RNN was high in both sets of variables and the Area Under the Curve (AUC) value was also high. Also when we saw the hit-ratio table, the ratio of RNNs that predicted a poor company to be bankrupt was higher than that of other comparative models. However the limitation of this paper is that an overfitting problem occurs during RNN learning. But we expect to be able to solve the overfitting problem by selecting more learning data and appropriate variables. From these result, it is expected that this research will contribute to the development of a bankruptcy prediction by proposing a new dynamic model.
The purpose of this study is to evaluate the clinical application of the no carrier added $[^{51}Cr]Cr(III)$-EDTA complexes, produced at Korea Cancer Center Hospital. The $[^{51}Cr]Cr(III)$-EDTA complexes, usefut for measurement of GFR were prepared at room temperature in the presence of bicarbonate catalysts. The radiochemical purity of $[^{51}Cr]Cr(III)$-EDTA was over 99% by paper electrophoresis. The time activity curves were obtained by counting the blood samples from 5 volunteers and counting the head and neck regions with whole body counter after injection of the $^{51}Cr$-EDTA, respectively. After the nonlinear regression, the area under curve was obtained. The plasma clearance of the $^{51}Cr$-EDTA was calculated with injected dose/AUC. The clearance rate calculated with the head and neck counting data was in good agreement with the result from the plasma sample radioactivity at 1-3 hrs after injection. From this result, the counting of head and neck region and the nonlinear regression by 2-compartment model could be applied for the measurement of the clearance rate. Using MIRD system, the absorbed radiation dose was calculated by residence $time{\times}S$. The absorbed whole body radiation dose was negligibly small.
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