CAJ | 학술논문

目的对高血压病(hypertensive disease,HD)肝胆湿热证患者血清蛋白质组学进行研究,试图寻找与肝胆湿热证相关的特异蛋白质.方法选择HD患者60例,其中高血压病肝胆湿热组40例;高血压病非肝胆湿热组20例.另选择健康者39名作为对照.采用弱阳离子纳米磁性微球捕获血清中的蛋白质,ProteinChip PBS Ⅱ-C型蛋白质芯片阅读仪检测绘制成蛋白质质谱(基质辅助激光解析电离飞行时间质谱MALDI-TOF-MS).所有蛋白质质谱采用Biomarker Wizard 3.1分析之后用Biomarker Patterns Software 5.0识别肝胆湿热证特异表达的蛋白质,并建立证候决策模型.结果 HD肝胆湿热证与健康组之间共检测出差异有统计学意义的蛋白质峰182个(P<0.05);肝胆湿热组与非肝胆湿热组之间共检测出差异有统计学意义蛋白质峰132个(P<0.05).经筛选以质荷比为2 761.555(表达增高),6 624.362(表达降低),2 487.192(表达增高),2 461.610(表达增高),2 744.318(表达降低)的5个蛋白峰组成的证候决策模型能很好地将肝胆湿热区分出来,该模型的敏感性为96.55%、特异性为90.00%、假阳性率10.00%、假阴性率3.45%.进一步对此决策模型进行盲法检验(前瞻性考核),结果其敏感性为81.82%、特异性为89.66%、假阳性率10.34%、假阴性率18.18%.结论差异表达的蛋白质是HD肝胆湿热证的物质基础,以此建立分子生物学证候决策模型.
목적 대고혈압병(hypertensive disease,HD)간담습열증환자혈청단백질조학진행연구,시도심조여간담습열증상관적특이단백질.방법 선택HD환자60례,기중고혈압병간담습열조40례;고혈압병비간담습열조20례.령선택건강자39명작위대조.채용약양리자납미자성미구포획혈청중적단백질,ProteinChip PBS Ⅱ-C형단백질심편열독의검측회제성단백질질보(기질보조격광해석전리비행시간질보MALDI-TOF-MS).소유단백질질보채용Biomarker Wizard 3.1분석지후용Biomarker Patterns Software 5.0식별간담습열증특이표체적단백질,병건립증후결책모형.결과 HD간담습열증여건강조지간공검측출차이유통계학의의적단백질봉182개(P<0.05);간담습열조여비간담습열조지간공검측출차이유통계학의의단백질봉132개(P<0.05).경사선이질하비위2 761.555(표체증고),6 624.362(표체강저),2 487.192(표체증고),2 461.610(표체증고),2 744.318(표체강저)적5개단백봉조성적증후결책모형능흔호지장간담습열구분출래,해모형적민감성위96.55%、특이성위90.00%、가양성솔10.00%、가음성솔3.45%.진일보대차결책모형진행맹법검험(전첨성고핵),결과기민감성위81.82%、특이성위89.66%、가양성솔10.34%、가음성솔18.18%.결론 차이표체적단백질시HD간담습열증적물질기출,이차건립분자생물학증후결책모형.
Objective To study the serum proteomics in hypertension patients with Gan-Dan damp-heat syndrome (GDDH) for tentatively find special proteins associated with the syndrome. Methods Study was performed in 60 hypertensive patients and 39 healthy persons as control. In the patients enrolled, 40 were differentiated as GDDH syndrome and the other 20 as non-GDDH syndrome. Their serum proteins were captured by weak cation nano-magnetic beads, and proteomic fingerprint was made by matrix assistant laser demodulation ionizing time-of-flight mass spectrometry (MALDI-TOF-MS) through mapping with protein chip reader type PBS Ⅱ-C. After all the proteomic fingerprints being analyzed by Biomarker Wizard 3.1, the special expressed proteins for GDDH syndrome were identified by Biomarker Patterns Software 5.0 to create the syndrome decision model. Results Totally, 182 difference protein peaks between patients of GDDH and healthy persons (P<0.05); and 132 difference protein peaks between patients of GDDH and non-GDDH were detected (P<0.05). A decision model consisted 5 screened out protein peaks with mass-to-charge ratio of 2 761.555, 6 624.362, 2 487.192, 2 461.610 and 2 744.318 was created, which could well differentiate the GDDH syndrome, with the sensitivity of 96.55%, specificity of 90%, false positive rate of 10% and false negative rate of 3.45%. Further blind test for prospective check showed its sensitivity being 81.82%, specificity 89.66%, false positive rate 10.34% and false negative rate 18.18%. Conclusion The differently expressed protein is the material foundation of GDDH syndrome; molecular biological decision model established on the basis of this foundation can offer a tool for making Chinese medicine syndrome differentiation more objectively and accurately.