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        돼지 써코바이러스 2형의 진단을 위한 PCR법 적용

        박효선 ( Hyo Sun Park ),이효상 ( Hyo Sang Lee ),나기복 ( Ki Bok Na ),이관복 ( Kwan Bok Lee ),강수정 ( Su Jung Kang ),문순화 ( Sun Hwa Moon ) 한국가축위생학회 2006 韓國家畜衛生學會誌 Vol.29 No.1

        Porcine circovirus (PCV) is a small, nonenveloped virus that contains a single-stranded circular DNA genome of about 1.76kb and belongs to the family circoviridae. The PCV-2 has been incriminated as the cause of post-weaning multisystemic wasting syndrome(PMWS), an emerging disease in pigs. In the present study, a PCR assay was applied to detect PCV-2 in tissue samples. The presence of PCV-2 antigen in the porcine tissues was confirmed by indirect immunofluorescence(IIF) with PCV-2 specific monoclonal antibodies. And then DNA extracted from PCV-2 positive tissues was used as a template. One oligonucleotide primer suitable for PCR was selected from a published PCV-2 sequence(Genbank). Amplified PCR product was detected the same fragment lengths of 416bp as a control. Based on these results, it was suggested that the PCR is a simple and sensitive method for support diagnostic purposes.

      • KCI등재

        PCR기법을 이용한 젖소 결핵균 검색 분리 조사

        공신국 ( Shin Koog Kong ),이건택 ( Gun Taek Lee ),임종묵 ( Jong Mook Lim ),양승민 ( Seung Min Yang ),이요안나 ( Jho An Na Lee ),문순화 ( Sun Hwa Moon ) 한국가축위생학회 2002 韓國家畜衛生學會誌 Vol.25 No.2

        The purpose of this study was to detect Mycobacterium bovis in cattle(serum, milk, lung, lymph node) by PCR. Nineteen samples from 7 skin test-positive cattle were analyzed. The amplified band of IS6110 by PCR was detected from 2 samples in lung and lymph node. But the sensitivities of the present methods for detecting M bovis in milk and serum are deficient. Because the PCR sensitivity has been shown to he hindered by the method used to isolate the nucleic acid target. PCR-based methods have the potential to be faster, more accurate, and the most efficient means of detecting M bovis. The detection of M bovis by PCR will contribute to the more efficient detection and control of tuberculosis.

      • KCI등재후보

        당뇨병이 없는 한국 성인에서 인슐린 저항성의 임상지표

        김지현 ( Ji Hyun Kim ),권혁상 ( Hyuk Sang Kwon ),박용 ( Yong Moon Park ),임선영 ( Sun Young Lim ),이진희 ( Jin Hee Lee ),이승환 ( Seung Hwan Lee ),임동준 ( Dong Joon Lim ),순화 ( Soon Hwa Hong ),조재형 ( Jae Hyoung Cho ),김성 대한내과학회 2007 대한내과학회지 Vol.73 No.6

        목적: 당뇨병을 가지지 않은 한국 성인에서 인슐린 저항성을 가장 잘 나타낼 수 있는 단일 지표가 무엇인지를 알아보고자 하였다. 방법: 충주지역에 거주하는 40세 이상 인구 총 6,149명을 대상으로 각종 신체계측지표 및 대사지표 중에서 인슐린 저항성지표(HOMA-IR)의 상위사분위수에 해당하는 집단을 인슐린저항성군으로 정의할 때 이를 가장 잘 반영하는 지표를 분석하기 위해 단순회귀분석과 다중회귀분석 방법을 이용하여 각각 비교하였다. 결과: 일상적으로 비교적 쉽게 측정할 수 있는 신체계측지표인 체질량지수, 허리둘레, 허리둘레-둔부둘레비, 허리둘레-신장비와 대사지표인 총 콜레스테롤/HDL 콜레스테롤비(TC/HDL), non-HDL 콜레스테롤, 중성지방/고밀도 콜레스테롤비(TG/HDL ratio), 중성지방(TG) 중에서 체질량지수가 모든 지표를 통틀어 인슐린저항성에 대한 진단적 가치가 가장 우수한 것으로 분석되었다. 체질량지수의 cut off value는 남, 여 공히 24 kg/m2이었다. 결론: 당뇨병이 없는 한국 성인에서 인슐린저항성을 가장 잘 반영할 수 있는 단일지표는 체질량지수였고, 24 kg/m2 이상일 경우 인슐린저항성이 있다고 할 수 있겠다. Background: To investigate the best surrogate marker for insulin resistance in the non-diabetic middle-aged population in Korea. Methods: This study was performed from February to April 2003-2005 in adults over 40 years of age living in Chungju City, South Korea, selected by stratified random cluster sampling. We analyzed the data from a total 6,149 non-diabetic subjects that completed a survey consisting of anthropometric measurement and blood chemistry. We defined the highest quartile of the homeostasis model for insulin resistance (HOMA-IR) as the insulin resistant group in our study population. We also analyzed the correlation of various anthropometric (body mass index, waist circumference, waist to hip ratio, waist to height ratio) and biochemical parameters (total cholesterol to HDL cholesterol ratio, non-HDL cholesterol level, triglycerides to HDL cholesterol ratio and level of triglycerides) with insulin resistance using simple and multiple regression analysis for detecting the insulin resistance group. Results: By simple regression analysis, among the anthropometric parameters including the body mass index, waist circumference, waist to hip ratio, waist to height ratio, and the biochemical parameters, including the total cholesterol to HDL cholesterol ratio, non-HDL cholesterol level, triglyceride to HDL cholesterol ratio and triglycerides level, the body mass index was the best surrogate marker for insulin resistance (95% CI 1.215-1.262). The cut-off value of the body mass index was 24.6 kg/m2 (male; 24.7, female; 24.6 kg/m2), with a sensitivity of 62.6% and specificity of 66.9%. Multiple logistic regression analysis for insulin resistance also gave the same results. Furthermore, the cut-off value of the body mass index for the metabolic syndrome as defined by NCEP-ATP III was also 24.1 kg/m2 (male; 24.0, female; 24.2 kg/m2). Conclusions: Our study results suggest that the body mass index was the best surrogate marker for insulin resistance of a non-diabetic population and its cut-off value was approximately 24 kg/m2. (Korean J Med 73:611-617, 2007)

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