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- 저자 : Eunhui yoon (검색결과 5 건)
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Seo, Eunhui,Oh, Yoon Sin,Kim, Donghee,Lee, Mi-Young,Chae, Sungwook,Jun, Hee-Sook Hindawi Publishing Corporation 2013 Evidence-based Complementary and Alternative Medic Vol.2013 No.-
<P>The accumulation of oxidative damage and mitochondrial dysfunction is an important factor that contributes to aging. The <I>Psoralea corylifolia </I>seeds (PCS), commonly known as “Boh-Gol-Zhee” in Korea, have been used traditionally as a medicinal remedy. We investigated whether an extract of PCS has protective effects on oxidative stress and mitochondrial function in hepatocytes. The PCS extract showed an antisenescence effect on human diploid fibroblasts as evidenced by a decreased expression of p16<SUP>INK4a</SUP> mRNA and senescence-associated <I><I>β</I></I>-galactosidase staining. PCS extract treatment reduced H<SUB>2</SUB>O<SUB>2</SUB>-induced reactive oxygen species (ROS) production in HepG2 cells, inhibited ROS production in hepatocytes of aged mice, and increased superoxide dismutase activity. In H<SUB>2</SUB>O<SUB>2</SUB>-treated HepG2 cells, PCS extract treatment recovered ATP production. PCS extract treatment recovered the oxygen consumption rate and inhibited reduction of mitochondrial membrane potential induced by oxidative stress, suggesting improvement of mitochondrial function. In addition, PCS extract treatment recovered peroxisome proliferator-activated receptor <I><I>γ</I></I> coactivator 1<I><I>α</I></I> and carnitine palmitoyltransferase 1 mRNA and protein expression, and inhibited mitochondrial genome damage. Treatment with the major component of PCS extract, bakuchiol, also recovered mitochondrial dysfunction. On the basis of these results, we conclude that PCS extract inhibits ROS production and mitochondrial dysfunction induced by oxidative stress in hepatocytes.</P>
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김혁훈,최상천,박은정,Eunhui yoon,민영기,샘슨램포탕 대한응급의학회 2018 Clinical and Experimental Emergency Medicine Vol.5 No.3
Objective Reliable biomarkers of delayed neuropsychological sequelae (DNS) after acute carbon monoxide (CO) poisoning are lacking. This study investigated the associations between potential serum markers and the development of DNS after acute CO poisoning. Methods Retrospective chart reviews were conducted for patients diagnosed with acute CO poisoning during a 28-month period. The patients were divided into two groups according to the presence or absence of having developed DNS. Multivariate analysis was performed to identify predictors of DNS after CO poisoning. Results Of a total of 102 patients, 10 (9.8%) developed DNS. The levels of serum osmolarity, S100B protein, and serum lactate, as well as serum anion gap, were statistically significant in univariate analysis. Multiple logistic regression analysis showed that anion gap (adjusted odds ratio [AOR], 1.36; 95% confidence interval [CI], 1.11 to 1.88), serum lactate level (AOR, 1.74; 95% CI, 1.26 to 2.75), and serum S100B protein level ([AOR, 7.02×105; 95% CI, 4.56×102 to 9.00×1010] in model 1, [AOR, 3.69×105; 95% CI, 2.49×102 to 2.71×1011] in model 2) were independently associated with DNS development. Conclusion Based on our preliminary results, serum lactate level, serum anion gap, and serum S100B protein level in the emergency department could be informative predictors of DNS development in patients with acute CO poisoning. These markers might have the potential to improve early recognition of DNS in patients with acute CO poisoning.
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IoT기반의 증강현실을 활용한 Total 스마트 미러 기초 실태조사 연구: 뷰티산업을 중심으로
황은희,윤천성,Hwang, Eunhui,Yoon, Chunsung 디지털산업정보학회 2018 디지털산업정보학회논문지 Vol.14 No.1
The purpose of this study is to learn the current perception of Total Smart Mirror Display devised with IoT, focused on Hair beauty industry. In detail, this study is to analyze domestic and foreign precedented case studies and conditions of Smart Mirror in beauty industry, and to learn, through survey, the real condition of use of Hair Smart Mirror, which is devised and applied according to the actual state of our country. First, the mean comparison for Total Smart Mirror by gender showed that Function1, Technology 2 and 3 had differences. Second, the mean comparison each by age, external design, function, marketing and technologies showed that Function 4, Marketing 1 to 3, Technology 1 and 3 had differences.
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Do Hee Kim,Woojae Choi,Younghye Ro,Leegon Hong,Seongdae Kim,Ilsu Yoon,Eunhui Choe,김단일 한국임상수의학회 2022 한국임상수의학회지 Vol.39 No.5
Postpartum diseases should be predicted to prevent productivity loss before calving especially in organic dairy farms. This study was aimed to inves- tigate the incidence of postpartum metabolic diseases in an organic dairy farm in Korea, to confirm the association between diseases and prepartum blood biochemical parameters, and to evaluate the accuracy of these parameters with a receiver operating characteristic (ROC) analysis for identifying vulnerable cows. Data were collected from 58 Holstein cows (16 primiparous and 42 multiparous) having calved for 2 years on an organic farm. During a transition period from 4 weeks prepartum to 4 weeks postpartum, blood biochemistry was performed through blood collection every 2 weeks with a physical examination. Thirty-one (53.4%) cows (9 primiparous and 22 multiparous) were diagnosed with at least one postpartum disease. Each incidence was 27.6% for subclinical ketosis, 22.4% for subclinical hypocalcemia, 12.1% for retained placenta, 10.3% for displaced abomasum and 5.2% for clinical ketosis. Between at least one disease and no disease, there were significant differences in the prepartum levels of parameters like body condition score (BCS), non-esterified fatty acid (NEFA), total bilirubin (T-bil), direct bilirubin (D-bil) and NEFA to total cholesterol (T-chol) ratio (p < 0.05). The ROC analysis of each of these prepartum parameters had the area under the curve (AUC) <0.7. However, the ROC analysis with logistic regression including all these parameters revealed a higher AUC (0.769), sensitivity (71.0%), and spec- ificity (77.8%). The ROC analysis with logistic regression including the prepartum BCS, NEFA, T-bil, D-bil, and NEFA to T-chol ratio can be used to identify cows that are vulnerable to postpartum diseases with moderate accuracy.
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