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The Length of Postoperative Antituberculous Therapy in Patients with Pulmonary Tuberculosis (폐결핵 환자의 폐절제술 후 항결핵제 투여기간)

  • Kwon, Eun-Su;Song, Jin-Ho;Song, Sun-Dae
    • Tuberculosis and Respiratory Diseases
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    • v.49 no.4
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    • pp.421-431
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    • 2000
  • Background : The length of postoperative drug therapy remains controversial in pulmonary tuberculosis. We analyzed our experiences to determine the postoperative duration of chemotherapy after resection. Method : A retrospective review was performed in 66 of 95 patients that underwent pulmonary resection for pulmonary tuberculosis between January 1993 and December 1998. We compared the relapse rates according to the length of postoperative chemotherapy in each group, classified by the results of sputum AFB culture before the surgery, the number of resistant drugs, the number of prior treatment and the division of anti-TB drugs used postoperatively. Results : Fifty three of 66(80.3%) were men and 13(19.7%) were women with a median age of 33.5 years(range, 16 to 63). The mean lengths of the pre- and post-operative chemotherapies were 4.9 months, and 12.9 months respectively. Five of 66 patients (7.6%) relapsed during the mean period of follow up (39.7 months). In the group less than three times of the prior treatment, there were two relapses (20%) in Ed-the highlight above-rephrase 10 patients that were medicated for 6 months or less, and one relapse in 43 patients (2.3%) that took medicine for more than 6 months (p=0.03). In the group using second-line drugs postoperatively, there was one relapse (25%) in four patients that were medicated for 12 months or less. No patient in a total of 17 that received medicine for more than 12 months relapsed (p=0.03). Conclusion : We recommend that patients with the prior treatment less than three times should be treated for more than 6 months after resection and patients using the second-line drugs postoperatively should be medicated for more than 12 months.

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Statistical Analysis of Patients Referred to Pediatric Cardiology Clinic for Diagnosis of Heart Disease (심장질환의 진단을 위해 의뢰된 환아들에 대한 자료 분석)

  • Choi, Kwang-Hae;Lee, Young-Hwan
    • Journal of Yeungnam Medical Science
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    • v.17 no.1
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    • pp.49-54
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    • 2000
  • Background: Echocardiography is rapidly establishing itself as the primary diagnostic technique for investigation of children with heart diseases, and referrals are increasing to the pediatric cardiology clinic for investigation. However, because there is a lack of analyzed data on the patients referred to the pediatric cardiology clinics, we have proceeded to compare and analyze their characteristics to provide basic data base. Methods: From Oct. 1, 1998 to Jul. 10, 1999, total 443 cases referred to the pediatric cardiology clinic of Yeungnam University Hospital were studied retrospectively by medical records, chest X-ray, EKG and echocardiography, etc. Results: The results were as follows. 1. The proportion of male was 61.0%(261 cases) and that of female was 39.0%(67 cases). The ratio of male to female was 1.6:1. The proportion infants less than 1 year-old was 62.6% (26R cases) of all patients. 2. Cardiac murmur was present in 248 cases(57.9%), which was the most common case of referral ed to the pediatric cardiology clinic. The impression at referral was more congenital heart disease(70.6%) than acquired heart disease(17.8%) and arrhythmia01.6%). 3. The final diagnosis was as follows : congenital heart disease was present in 212 cases(49.5%), acquired heart disease, 59 cases(13.9%); arrhythmia. 13 cases(3.0%); normal heart. 144 cases(33.6%). Conclusion: Among the patients referred to pediatric cardiology clinic, 33.6%(144 cases) had normal hearts and why these patients were referred may be possibly due to more dependence on echocardiography than on auscultation instruction. Therefore, clinical and auscultatory skill should be emphasized to minimize dependence on expensive echocardiography for evaluation of pediatric heart disease.

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Cystic Diseases of the Kidney in Children (소아의 낭포성 신질환)

  • Lee Ji-Suk;Rho Kwang-Sik;Kim Ji-Hong;Lee Jae-Seung;Kim Pyung-Kil
    • Childhood Kidney Diseases
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    • v.1 no.2
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    • pp.144-150
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    • 1997
  • Purpose : The kidney is one of the most common sites of cyst formation. Cystic diseases of the kidney are a diverse group of clinicopathologic entities and variable prognosis. They span a wide range of both age of presentation and severity of the renal disease. And many of them are systemic disorders, sharing similar process of cyst formation in other organs. Recently, development of imaging studies has been contributing widely to the diagnosis of the diseases. Treatment, however, is not established satisfactorily. We performed this study to evaluate the occurrence and treatment of cystic diseases of the kidney. Methods : We reviewed retrospectively the medical records of 44 patients with cystic diseases of the kidney in the Department of Pediatrics, during last 11 years. Results : In the 44 patients with cystic diseases of the kidney, 31 patients(71%) had multicystic dysplastic kidney and 11(35%) of them received nephrectomy due to differentiation from neoplasms or severe abdominal distension. Seven patients(16%) had polycystic kidney disease, and all of them were infantile type. Five patients(11%) were diagnosed as having a simple renal cysts. Progression to renal failure was noted in none of the cases. In 14(32%) out of total 44 patients, the diagnosis was made in neonatal or infantile pelted. Conclusion : The incidence of cystic diseases of the kidney appeared very low, but further investigation on their pathogenesis, classification, and indication of treatment is needed.

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Regionality and Variability of Net Primary Productivity and Rice Yield in Korea (우리 나라의 순1차생산력 및 벼 수량의 지역성과 변이성)

  • JUNG YEONG-SANG;BANG JUNG-HO;HAYASHI YOSEI
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.1 no.1
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    • pp.1-11
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    • 1999
  • Rice yield and primary productivity (NPP) are dependent upon the variability of climate and soil. The variability and regionality of the rice yield and net primary productivity were evaluated with the meteorological data collected from Korea Meteorology Administration and the actual rice yield data from the Ministration of Agriculture and Forestry, Korea. The estimated NPP using the three models, dependent upon temperature(NPP-T), precipitation(NPP-P) and net radiation(NPP-R), ranged from 10.87 to 17.52 Mg ha$^{-1}$ with average of 14.69 Mg ha$^{-1}$ in the South Korea and was ranged 6.47 to 15.58 Mg ha$^{-1}$ with average of 12.59 Mg ha$^{-1}$ in the North Korea. The primary limiting factor of NPP in Korea was net radiation, and the secondary limiting factor was temperature. Spectral analysis on the long term change in air temperature in July and August showed periodicity. The short periodicity was 3 to 7 years and the long periodicity was 15 to 43 years. The coefficient of variances, CV, of the rice yield from 1989 to 1998 ranged 3.23 percents to 12.37 percents which were lower than past decades. The CV's in Kangwon and Kyeongbuk were high while that in Chonbuk was the lowest. The prediction model based on th e yield index and yield response to temperature obtain ed from the field crop situation showed reasonable results and thus the spatial distributions of rice yield and predicted yield could be expressed in the maps. The predicted yields was well fitted with the actual yield except Kyungbuk. For better prediction, modification should be made considering radiation factor in further development.

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Effects of Various Diets on Growth and Body Composition of Juvenile Parrot Fish, Oplegnathus fasciatus (먹이 종류가 돌돔 Oplegnathus fasciatus 치어의 성장 및 체성분에 미치는 영향)

  • Moon Lee, HaeYoung;Nam, Myung-Mo
    • Korean Journal of Ichthyology
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    • v.27 no.4
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    • pp.293-299
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    • 2015
  • The feeding experiment was conducted to investigate the effects of one experimental diet (EDP) and five different commercial diets (CEPs) on growth and body composition for juvenile parrot fish, Oplegnathus fasciatus. An EDP was formulated to contain 50% crude protein (CP) from fishmeal, casein, zein and wheat flour and 15% crude lipid (CL) from squid liver oil. Five CEPs for seawater fish were two domestic E commercial diet (DECD) and C commercial diet (DCCD), three imported H commercial diet (IHCD), L commercial diet (ILCD) and O commercial diet (IOCD) containing 53.1~66.6% CP and 10.7~14.6% CL, respectively. Each diet was fed to triplicate groups of juvenile parrot fish initially weighing $1.14{\pm}.01g/fish$ (mean${\pm}$SD) in a flow-through seawater system with a water temperature of $19.0{\sim}25.0^{\circ}C$. Weight gain (WG) and feed efficiency (FE) were significantly greatest in fish fed the DCCD and IOCD; intermediate responses were observed for fish fed the ILCD, while the IECD, IHCD, and the EDP produced the lowest WG and FE values. Survival with no significant difference approached 100% for fish fed the all six diets in this experiment. Whole-body moisture, protein, lipid and ash contents were not affected by the different type of diets. Therefore, type of diets appeared to be important factor in influencing WG and FE of juvenile parrot fish; the best diets for juvenile parrot fish was determined to be the domestic commercial C and the imported commercial O diets containing high protein (61.3, 66.6%) and lipid (14.6, 13.0%) in natural seawater based on highest WG, and FE, respectively. This study indicates that the two commercially formulated diets containing two highest proteins and lipids used in this experiment could be practical diets for juvenile parrot fish; these differences of growth performance between experimental diet and commercial diets may be reason for different dietary protein and lipid levels.

Computerized Multiple 15-hue tests for Quantifying Color Vision Acuity (색각 능력의 정량적 평가를 위한 전산화된 다중 15-색상 배열 검사법)

  • Ko S.T.;Hong S.C.;Choi M.J.
    • Journal of Biomedical Engineering Research
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    • v.21 no.3 s.61
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    • pp.321-331
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    • 2000
  • Multiple 15-hue tests were designed and implemented on a PC in the study so as to quickly and quantitatively evaluate color vision acuity. Difficulty of the test was control)ed by the value of CDBACC (color difference between adjacent color chips) calculated using a CIELAB formula. The multiple 15-hue tests consist of eight of the hue tests (test 3-10) and three of the basic color (red, green, blue) tests (test 11-13). The 15 colors used for the hue tests were specified by the 15 color coordinates that were located at a constant distance (d = 2. 3. 5. 7, 10, 20, 30. 40) from white reference in the CIE chromaticity coordinate system and were separated by a constant color difference (CDBACC = 0.75, 1.1, 1.8. 2.5. 3.5. 7.5. 11, 14) from the adjacent chips. The color coordinates for the 15 chips for the basic color tests were the same as those of the 15 points spaced equally by a constant color difference (6.87 for the green color test. 7.27 for the red color test, 7.86 for the blue color test) from the white reference along the axis of red, green and blue. Thirty normal subjects who were not color blind were taken to undergo the multiple 15-hue tests. It was observed that most of the subjects correctly arranged color chips for the tests with CDBACC greater than 5, whereas no one correctly answered for those with CDBACC less than 2. Rapid changes in the number of the subjects correctly arranged took place when CDBACC of the tests was between 2 and 4.5. In the basic color tests, unlike the hue tests having similar values of CDBACC, it was seen that the subjects arranged color chips even less correctly. It was found that JNCD (just noticeable color difference) - a measure of color vision acuity was about 3 in average for the subjects. The JNCD was chosen as the value of the CDBACC of the test for which about $50\%$ of the subjects failed to successfully arrange color chips. ERCCA (error rate of color chips arrangement) for the test with CDBACC the same as the JNCD was shown to be about $20\%$. It is expected that the multi 15-hue tests implemented on a PC in the study will be an economical tool to quickly and quantitatively evaluate color vision acuity and, accordingly, the tests can be used for early diagnosis to massive potential patients suffering from diseases (ex. diabetes, glaucoma) which may induce changes in color vision acuity.

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Environmental Geochemical Characteristics of the Acid Mine Drainage and Stream Sediments in the Abandoned Honam Coal Mine Area, Korea (호남탄전지역 폐탄광의 산성광산배수와 하상퇴적물의 환경지구화학적 특성)

  • Park, Young-Seog;Kim, Jong-Kyun;Kim, Jin;Jang, Woo-Seog;Lee, Ki-Hyung;Han, Min-Su
    • Economic and Environmental Geology
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    • v.35 no.3
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    • pp.241-255
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    • 2002
  • The purpose of this study is to investigate environmental geochemical characteristics for the acid mine drainage and stream sediments in the abandoned Honam coal mine area. For the chemical analysis, stream winter samples were collected at 54 sites and for the mineralogical and chemical analysis, stream sediments samples were collected at 34 sites. Physical and chemical characteristics of stream water were measured at the site and chemical compositions were analyzed by ICP-AES, ICP-MS and IC. Mineralogical characteristics of stream sediments samples were determined using XRD, SEM and EDS. In physical and chemical properties, stream water shows thats pH 2.85~8.12, Eh -62~215 mV, EC 0.205~146 ms/m, ER 0.234~255 {$\Omega}{\cdot}$m, DO 0.03~1068 mg/L and TDS 10.96~1420mg/L. In chemical compositions, we obtain that K 0.118~3.184 mg/L, Mg 2.1~114.48 mg/L, Ca 2.59~l25.02 mg/L, Al 0.01~44.72 mg/L, Fe 0.108~89.49 mg/L and Na 5.45~125.41 mg/L. Stream sediments are commonly composed of quartz, illite and goethite in the result of x-ray diffraction. After heat treatment at 98$0^{\circ}C$, the hematite peaks are distinctly shown. In consideration of heavy metals (include Fe) for steam sediments, Fe ranges 22575~34713 ppm, Zn 41.66~970.3 ppm, Cd 0.52~52.07 ppm, Cu 1.25~198.5 ppm and Pb 0.43~77.35 ppm.

Reliability of a Cobalt Silicide on Counter Electrodes for Dye Sensitized Solar Cells (코발트실리사이드를 이용한 염료감응형 태양전지 상대전극의 신뢰성 평가)

  • Kim, Kwangbae;Park, Taeyeul;Song, Ohsung
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.18 no.4
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    • pp.1-7
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    • 2017
  • Cobalt silicide was used as a counter electrode in order to confirm its reliability in dye-sensitized solar cell (DSSC) devices. 100 nm-Co/300 nm-Si/quartz was formed by an evaporator and cobalt silicide was formed by vacuum heat treatment at $700^{\circ}C$ for 60 min to form approximately 350 nm-CoSi. This process was followed by etching in $80^{\circ}C$-30% $H_2SO_4$ to remove the cobalt residue on the cobalt silicide surface. Also, for the comparison against Pt, we prepared a 100 nm-Pt/glass counter electrode. Cobalt silicide was used for the counter electrode in order to confirm its reliability in DSSC devices and maintained for 0, 168, 336, 504, 672, and 840 hours at $80^{\circ}C$. The photovoltaic properties of the DSSCs employing cobalt silicide were confirmed by using a simulator and potentiostat. Cyclic-voltammetry, field emission scanning electron microscopy, focused ion beam scanning electron microscopy, and energy dispersive spectrometry analyses were used to confirm the catalytic activity, microstructure, and composition, respectively. The energy conversion efficiency (ECE) as a function of time and ECE of the DSSC with Pt and CoSi counter electrodes were maintained for 504 hours. However, after 672 hours, the ECEs decreased to a half of their initial values. The results of the catalytic activity analysis showed that the catalytic activities of the Pt and CoSi counter electrodes decreased to 64% and 57% of their initial values, respectively(after 840 hours). The microstructure analysis showed that the CoSi layer improved the durability in the electrolyte, but because the stress concentrates on the contact surface between the lower quartz substrate and the CoSi layer, cracks are formed locally and flaking occurs. Thus, deterioration occurs due to the residual stress built up during the silicidation of the CoSi counter electrode, so it is necessary to take measures against these residual stresses, in order to ensure the reliability of the electrode.

The Prediction of Export Credit Guarantee Accident using Machine Learning (기계학습을 이용한 수출신용보증 사고예측)

  • Cho, Jaeyoung;Joo, Jihwan;Han, Ingoo
    • Journal of Intelligence and Information Systems
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    • v.27 no.1
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    • pp.83-102
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    • 2021
  • The government recently announced various policies for developing big-data and artificial intelligence fields to provide a great opportunity to the public with respect to disclosure of high-quality data within public institutions. KSURE(Korea Trade Insurance Corporation) is a major public institution for financial policy in Korea, and thus the company is strongly committed to backing export companies with various systems. Nevertheless, there are still fewer cases of realized business model based on big-data analyses. In this situation, this paper aims to develop a new business model which can be applied to an ex-ante prediction for the likelihood of the insurance accident of credit guarantee. We utilize internal data from KSURE which supports export companies in Korea and apply machine learning models. Then, we conduct performance comparison among the predictive models including Logistic Regression, Random Forest, XGBoost, LightGBM, and DNN(Deep Neural Network). For decades, many researchers have tried to find better models which can help to predict bankruptcy since the ex-ante prediction is crucial for corporate managers, investors, creditors, and other stakeholders. The development of the prediction for financial distress or bankruptcy was originated from Smith(1930), Fitzpatrick(1932), or Merwin(1942). One of the most famous models is the Altman's Z-score model(Altman, 1968) which was based on the multiple discriminant analysis. This model is widely used in both research and practice by this time. The author suggests the score model that utilizes five key financial ratios to predict the probability of bankruptcy in the next two years. Ohlson(1980) introduces logit model to complement some limitations of previous models. Furthermore, Elmer and Borowski(1988) develop and examine a rule-based, automated system which conducts the financial analysis of savings and loans. Since the 1980s, researchers in Korea have started to examine analyses on the prediction of financial distress or bankruptcy. Kim(1987) analyzes financial ratios and develops the prediction model. Also, Han et al.(1995, 1996, 1997, 2003, 2005, 2006) construct the prediction model using various techniques including artificial neural network. Yang(1996) introduces multiple discriminant analysis and logit model. Besides, Kim and Kim(2001) utilize artificial neural network techniques for ex-ante prediction of insolvent enterprises. After that, many scholars have been trying to predict financial distress or bankruptcy more precisely based on diverse models such as Random Forest or SVM. One major distinction of our research from the previous research is that we focus on examining the predicted probability of default for each sample case, not only on investigating the classification accuracy of each model for the entire sample. Most predictive models in this paper show that the level of the accuracy of classification is about 70% based on the entire sample. To be specific, LightGBM model shows the highest accuracy of 71.1% and Logit model indicates the lowest accuracy of 69%. However, we confirm that there are open to multiple interpretations. In the context of the business, we have to put more emphasis on efforts to minimize type 2 error which causes more harmful operating losses for the guaranty company. Thus, we also compare the classification accuracy by splitting predicted probability of the default into ten equal intervals. When we examine the classification accuracy for each interval, Logit model has the highest accuracy of 100% for 0~10% of the predicted probability of the default, however, Logit model has a relatively lower accuracy of 61.5% for 90~100% of the predicted probability of the default. On the other hand, Random Forest, XGBoost, LightGBM, and DNN indicate more desirable results since they indicate a higher level of accuracy for both 0~10% and 90~100% of the predicted probability of the default but have a lower level of accuracy around 50% of the predicted probability of the default. When it comes to the distribution of samples for each predicted probability of the default, both LightGBM and XGBoost models have a relatively large number of samples for both 0~10% and 90~100% of the predicted probability of the default. Although Random Forest model has an advantage with regard to the perspective of classification accuracy with small number of cases, LightGBM or XGBoost could become a more desirable model since they classify large number of cases into the two extreme intervals of the predicted probability of the default, even allowing for their relatively low classification accuracy. Considering the importance of type 2 error and total prediction accuracy, XGBoost and DNN show superior performance. Next, Random Forest and LightGBM show good results, but logistic regression shows the worst performance. However, each predictive model has a comparative advantage in terms of various evaluation standards. For instance, Random Forest model shows almost 100% accuracy for samples which are expected to have a high level of the probability of default. Collectively, we can construct more comprehensive ensemble models which contain multiple classification machine learning models and conduct majority voting for maximizing its overall performance.

The Effect of Nonspecific Endothelin-1 Receptor Blocker ($Bosentan^{(R)}$) on Paraquat Induced Pulmonary Fibrosis in Rat (Paraquat에 의한 백서의 폐섬유화증에서 비선택적 Endothelin-1 receptor blocker($Bosentan^{(R)}$)의 치료효과)

  • Jeong, Hye-Cheol;Jung, Ki-Hwan;Kim, Byung-Gyu;Lee, Seung-Heon;Kim, Min-Kyung;Kim, Chung-Yeul;Park, Sang-Myun;Lee, Sin-Hyung;Shin, Chol;Cho, Jae-Youn;Shim, Jae-Jeong;In, Kwang-Ho;Kim, Han-Gyum;Yoo, Se-Hwa;Kang, Kyung-Ho
    • Tuberculosis and Respiratory Diseases
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    • v.50 no.2
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    • pp.182-195
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    • 2001
  • Background : Idiopathic pulmonary fibrosis(IPF) is a devastating illness for which there is little effective treatment. The key cytokines currently implicated in the fibrotic process are the transforming growth factor-${\beta}_1$(TGF-${\beta}_1$), tumor necrosis factor-$\alpha$(TNF-$\alpha$), endothelin-1(ET-1) and interferon-$\gamma$(IFN-$\gamma$). The rat model for paraquat-induced pulmonary fibrosis was chosen to investigate the role of ET-1 in this disease. Both ET-1 and TGF-${\beta}_1$ expression in lung lesions were examined using immunohistochemical staining. After $Bosentan^{(R)}$ administration, an orally active ET-$l_A$ and ET-$1_B$ receptor antagonist, the degree of pulmonary fibrosis and ET-1 and TGF-${\beta}_1$ expression were analyzed. Method : Sprague-Dawley rats were divided into three groups, the control group, the fibrosis group, and the fibrosis-$Bosentan^{(R)}$-treated group. The animals were sacrificed periodically at 1, 3, 5, 7, 10, 14 days after administering saline or paraquat. The effects between groups were compared with the results of light microscopy and immunohistochemical staining for ET-1 and TGF-${\beta}_1$. The degree of fibrosis was evaluated by H&E and Masson's trichrome staining, which were graded by a computerized image analyzer. The degree of immunohistochemical staining was categorized by a semi-quantitative analysis method. Results : The lung collagen content had increased in the paraquat instillated animals by day 3, and continued to increase up to day 14. A daily treatment by gavage with $Bosentan^{(R)}$ (100mg/kg) did not prevent the increase in collagen deposition on the lung that was induced by paraquat instillation. There were increased immunohistochemical stains of ET-1 on the exudate, macrophages, vascular endothelial cells and pneumocytes in the paraquat instillated group. Furthermore, TGF-${\beta}_1$ expression was higher on the exudate, macrophages, some inflammatory cells, pneumocytes( type I, and II), vascular endothelium and the respiratory epithelial cells around the fibrotic area. After Bosentan treatment, there were no definite changes in ET-1 and TGF-${\beta}_1$ expression. Conclusion : Fibrosis of the Paraquat instillated group was more advanced when compared with the control group. In addition, there was increased ET-1 and TGF-${\beta}_1$ expression around the fibrotic area. ET-1 is associated with lung fibrosis but there was little effect of the ET-1 receptor blocker($Bosentan^{(R)}$) on antifibrosis.Background : Idiopathic pulmonary fibrosis(IPF) is a devastating illness for which there is little effective treatment. The key cytokines currently implicated in the fibrotic process are the transforming growth factor-${\beta}_1$(TGF-${\beta}_1$), tumor necrosis factor-$\alpha$(TNF-$\alpha$), endothelin-1(ET-1) and interferon-$\gamma$(IFN-$\gamma$). The rat model for paraquat-induced pulmonary fibrosis was chosen to investigate the role of ET-1 in this disease. Both ET-1 and TGF-${\beta}_1$ expression in lung lesions were examined using immunohistochemical staining. After $Bosentan^{(R)}$ administration, an orally active ET-$1_A$ and ET-$1_B$ receptor antagonist, the degree of pulmonary fibrosis and ET-1 and TGF-${\beta}_1$ expression were analyzed. Method : Sprague-Dawley rats were divided into three groups, the control group, the fibrosis group, and the fibrosis-$Bosentan^{(R)}$-treated group. The animals were sacrificed periodically at 1, 3, 5, 7, 10, 14 days after administering saline or paraquat. The effects between groups were compared with the results of light microscopy and immunohistochemical staining for ET-1 and TGF-${\beta}_1$. The degree of fibrosis was evaluated by H&E and Masson's trichrome staining, which were graded by a computerized image analyzer. The degree of immunohistochemical staining was categorized by a semi-quantitative analysis method. Results : The lung collagen content had increased in the paraquat instillated animals by day 3, and continued to increase up to day 14. A daily treatment by gavage with $Bosentan^{(R)}$ (100mg/kg) did not prevent the increase in collagen deposition on the lung that was induced by paraquat instillation. There were increased immunohistochemical stains of ET-1 on the exudate, macrophages, vascular endothelial cells and pneumocytes in the paraquat instillated group. Furthermore, TGF-${\beta}_1$ expression was higher on the exudate, macrophages, some inflammatory cells, pneumocytes( type I, and II), vascular endothelium and the respiratory epithelial cells around the fibrotic area. After Bosentan treatment, there were no definite changes in ET-1 and TGF-${\beta}_1$ expression. Conclusion : Fibrosis of the Paraquat instillated group was more advanced when compared with the control group. In addition, there was increased ET-1 and TGF-${\beta}_1$ expression around the fibrotic area. ET-1 is associated with lung fibrosis but there was little effect of the ET-1 receptor blocker($Bosentan^{(R)}$) on antifibrosis.

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