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성견 치주질환시 치은 열구액내의 μ-glucuronidase에 관한 실험적 연구
김평환,한세희,김형섭 全北大學校 齒醫學硏究所 1989 전북치대논문집 Vol.7 No.1
Analysis of an enzyme in gingival crevicular fluid is considered as a valuable diagnostic method for periodontal inflammation. The relationship between enzyme activity and clinical parameters can also be employed to evaluate the periodontal status. The object of this study was to present the diagnostic value of the β-glucuronidase in gingival crevicular fluid during periodontal breakdown. This study was examined with 4 dogs weighed 13-15㎏, being ligated with wire at third and forth premolars of both jaws while contralateral teeth were brushed three times a week as a control. Two months after the ligation, when periodontitis was induced, the gingival crevicular fluid was collected every one week to be calculated. The following results were obtained by comparison of enzyme activity with clinical parameters : sulcus bleeding index, plaque index, pocket depth. 1. The optical density of β-glucuronidase activity were 0.180±0.060 at the experimental sites and 0.128±0.030 at the control sites (p<0.01). 2. The relationships between clinical indices and periotron units, and β-glucuronidase activity were statistically significant (p<0.01), while correlation between β-glucuronidase activity and pocket depth was less significant(p<0.05). 3. As the grade of sulcus bleeding index was increased, the periotron units and β-glucuronidase activity were increased significantly (periotron unit ; Grade Ⅲ p<0.01, Ⅳ : p<0.01., β-glucuronidase activity ; Grade Ⅳ : p<0.05). 4. As the grade of pocket depth was increased, periotron units increased significantly (p<0.05).
치주 질환 심도와 치은열구액내 β-glucuronidase에 관한 연구
문진균,김평환,김형섭 全北大學校 齒醫學硏究所 1990 전북치대논문집 Vol.8 No.1
Because traditional clinical measures of human periodontal disease cannot be detected or predicted the occurance of clinical attachment loss, new biochemical workers were developed in diagnosis of periodontal disease. β-glucuronidase, for such a marker associated with tissue breakdown, was analysed from gingival crevicular fluid of 101 periodontal patients aged 27-62 years. The filter paper strip was inserted into the gingival sulcus of the labial surface of the maxillary left central incisor and gingival crevicular fluid colleted. By the modification of the method of Dingle (9172), β-glucuronidase was assayed spectrophotometrically from supernatant enzyme preparation, and compared with clinical parameters such as pocket depth or sulcus bleeding index. 1. As the grade of sulcus bleeding index was increased, the periotron units and β-glucuronidase activity were increased significant(P<0.05). 2. Correlation between SBI and β-glucuronidase, SBI and periotron units, periotron units and β-glucuronidase were relatively low. Those correlation between periotron units and β-glucuronidase was the highest (γ=0.34). 3. As the grade or pocket depth was increased, periotron units and β-glucuronidase were not increased significantly(P>0.05).
치주 질환 심도와 치은 열구액내 Arysulfatase에 관한 연구
김성호,김평환,김형섭 全北大學校 齒醫學硏究所 1990 전북치대논문집 Vol.8 No.1
The Object of this study to present the diagnostic value of the arylsulfatase in gingival crevicular fluid associated with periodontal disease severity during periodntal breakdown. I investigated 73 subject aged 27-62 years showing varying degrees of periodontal disease. The filter paper strip was inserted into the gingival sulcus of the labial surface of the mixillary left central incisor and gingival crevicular fluid was collected. And then periotron units was measured. By the modification of the method of Griffiths, arylsulfatase was assayed spectrophotometrically from supernatant enzyme preparation and compared with clinical parameters such as pocket depth or SBI. 1. The periotron unit and arylsulfatase in the SBI-2 group was higher statistically than those in the SBI-1, 3 groups (P<0.01). 2. Correlation coefficients between S. B. I. and periotron unit, S. B. I. and arylsulfatase, periotron unit and arylsulfatase were 0.40, 0.47, 0.47, respectively. (P<0.01). 3. As the pocket depth increased, periotron unit and arylsulfatase also increased, but statistically not significant (P>0.05).
장현경,김평환,김동욱,조현민,정미진,김대한,정윤기,임경섭,김한별,임한철,한동근,홍영준,조제열 생화학분자생물학회 2018 Experimental and molecular medicine Vol.50 No.-
Atherosclerotic plaques within the vasculature may eventually lead to heart failure. Currently, cardiac stenting is the most effective and least invasive approach to treat this disease. However, in-stent restenosis is a complex chronic side effect of stenting treatment. This study used coronary stents coated with stem cells secreting angiogenic growth factors via an inducible genome-editing system to reduce stent restenosis and induce re-endothelialization within the artery. The characteristics of the cells and their adhesion properties on the stents were confirmed, and the stents were transplanted into a swine model to evaluate restenosis and the potential therapeutic use of stents with stem cells. Restenosis was evaluated using optical coherence tomography (OCT), microcomputed tomography (mCT) and angiography, and re-endothelialization was evaluated by immunostaining after cardiac stent treatment. Compared to a bare metal stent (BMS) or a parental umbilical cord blood-derived mesenchymal stem cell (UCB-MSC)-coated stent, the stents with stem cells capable of the controlled release of hepatocyte growth factor (HGF) and vascular endothelial growth factor (VEGF) successfully reduced restenosis within the stent and induced natural re-endothelialization. Furthermore, UCB-MSCs exhibited the ability to differentiate into endothelial cells in Matrigel, and HGF and VEGF improved this differentiation. Our study indicates that stents coated with UCB-MSCs secreting VEGF/HGF reduce the restenosis side effects of cardiac stenting with improved re-endothelialization.
박정원,김평환,김창근,허강인 동아대학교 정보기술연구소 2003 情報技術硏究所論文誌 Vol.11 No.1
In this paper, we propose effective speaker verification method using SVM(support vector machines) and ICAhdependent component analysis). In general, SVM is classification method which classify two class set by finding voluntary nonlinear boundary in vector space and possesses high classification performance under few training data number. In this paper, we compare existing algorithms with SVM, and we compare verification performance of feature parameters using ICA, PCA(principa1 component analysis), MFCC(mel frequency cepstrum coefficient) for SVM speaker verification system. In result, ICA feature parameter showed the highest verification performance because of superior linear classification.