中华医学杂志
中華醫學雜誌
중화의학잡지
National Medical Journal of China
2011年
47期
3329-3332
,共4页
张文颖%党艳丽%周玲%于力%刘艮兰%张妍%陈秀芳%王敏%张军
張文穎%黨豔麗%週玲%于力%劉艮蘭%張妍%陳秀芳%王敏%張軍
장문영%당염려%주령%우력%류간란%장연%진수방%왕민%장군
早产%炎症%诊断%蛋白质组学
早產%炎癥%診斷%蛋白質組學
조산%염증%진단%단백질조학
Preterm labour%Inflammation%Diagnosis%Proteomic
目的 建立炎症早产和非炎症早产血清蛋白质组诊断模型.探讨应用蛋白质指纹技术进行早产的早期预警并区分炎症早产.方法 从2008至2010年在解放军第三○六医院住院分娩的产妇中挑选250例作为研究对象,根据人选条件和分娩后胎盘胎膜的病理结果,分5组每组50例:炎症早产组,非炎症早产组,盲法验证组和炎症足月产组;用正常足月产组做对照.各组标本50例,共250例.应用SELDI-TOF-MS蛋白质指纹技术和生物信息学方法,建立炎症和非炎症早产诊断模型并经过盲法验证和统计学分析;同时将炎症早产组和炎症足月产组建模所用差异蛋白进行比较分析.结果 炎症早产组与对照组质谱比较,得出36个差异蛋白,使用相对分子质量为1089、6635、2875、10 068、4405、4971、36 665、9713的标志蛋白建立模型.其特异度80.85%,敏感度84.44%,阳性预测值93.33%,阴性预测值46.67%;非炎症早产组共有15个差异蛋白,使用相对分子质量为3941、5808、6858、4289的标志蛋白建模,其特异性75.68%,敏感性64.44%,阳性预测值80.00%,阴性预测值66.67%.诊断炎症早产和诊断炎症足月产所用的模型比较得知,两者所用的差异蛋白完全不同.结论 应用血清蛋白质组诊断模型预测早产,能够将炎症早产和非炎症早产加以区分,具有指导个性化治疗的临床应用前景.炎症早产和炎症足月产的诊断模型完全不同,推测在妊娠的不同时期,绒毛膜羊膜炎所导致的相关蛋白质的表达不同.
目的 建立炎癥早產和非炎癥早產血清蛋白質組診斷模型.探討應用蛋白質指紋技術進行早產的早期預警併區分炎癥早產.方法 從2008至2010年在解放軍第三○六醫院住院分娩的產婦中挑選250例作為研究對象,根據人選條件和分娩後胎盤胎膜的病理結果,分5組每組50例:炎癥早產組,非炎癥早產組,盲法驗證組和炎癥足月產組;用正常足月產組做對照.各組標本50例,共250例.應用SELDI-TOF-MS蛋白質指紋技術和生物信息學方法,建立炎癥和非炎癥早產診斷模型併經過盲法驗證和統計學分析;同時將炎癥早產組和炎癥足月產組建模所用差異蛋白進行比較分析.結果 炎癥早產組與對照組質譜比較,得齣36箇差異蛋白,使用相對分子質量為1089、6635、2875、10 068、4405、4971、36 665、9713的標誌蛋白建立模型.其特異度80.85%,敏感度84.44%,暘性預測值93.33%,陰性預測值46.67%;非炎癥早產組共有15箇差異蛋白,使用相對分子質量為3941、5808、6858、4289的標誌蛋白建模,其特異性75.68%,敏感性64.44%,暘性預測值80.00%,陰性預測值66.67%.診斷炎癥早產和診斷炎癥足月產所用的模型比較得知,兩者所用的差異蛋白完全不同.結論 應用血清蛋白質組診斷模型預測早產,能夠將炎癥早產和非炎癥早產加以區分,具有指導箇性化治療的臨床應用前景.炎癥早產和炎癥足月產的診斷模型完全不同,推測在妊娠的不同時期,絨毛膜羊膜炎所導緻的相關蛋白質的錶達不同.
목적 건립염증조산화비염증조산혈청단백질조진단모형.탐토응용단백질지문기술진행조산적조기예경병구분염증조산.방법 종2008지2010년재해방군제삼○륙의원주원분면적산부중도선250례작위연구대상,근거인선조건화분면후태반태막적병리결과,분5조매조50례:염증조산조,비염증조산조,맹법험증조화염증족월산조;용정상족월산조주대조.각조표본50례,공250례.응용SELDI-TOF-MS단백질지문기술화생물신식학방법,건립염증화비염증조산진단모형병경과맹법험증화통계학분석;동시장염증조산조화염증족월산조건모소용차이단백진행비교분석.결과 염증조산조여대조조질보비교,득출36개차이단백,사용상대분자질량위1089、6635、2875、10 068、4405、4971、36 665、9713적표지단백건립모형.기특이도80.85%,민감도84.44%,양성예측치93.33%,음성예측치46.67%;비염증조산조공유15개차이단백,사용상대분자질량위3941、5808、6858、4289적표지단백건모,기특이성75.68%,민감성64.44%,양성예측치80.00%,음성예측치66.67%.진단염증조산화진단염증족월산소용적모형비교득지,량자소용적차이단백완전불동.결론 응용혈청단백질조진단모형예측조산,능구장염증조산화비염증조산가이구분,구유지도개성화치료적림상응용전경.염증조산화염증족월산적진단모형완전불동,추측재임신적불동시기,융모막양막염소도치적상관단백질적표체불동.
Objective To establish the serum proteomic models for the identification of premature delivery with inflammation or non-inflammation.Methods The laboring patients from 2008 to 2010 at our hospital were divided into 5 groups according to placental pathology,including inflammatory preterm group,non-inflammatory preterm group and blind test group ( n =50 each).The control group was normal fullterm.The preterm models with or without inflammation were established by the methods of SELDI-TOF-MS (matrix-assisted laser desorption/ionization-time of flight-mass spectrometry ) and bioinformatics.And statistical analysis was performed after a blind test.Then differential protein fingerprints were compared and analyzed.Results A total of 36 different proteins were harvested after a comparison of inflammatory preterm and control groups.The model was established by eight markers.The rates of specificity,sensitivity,positive predictive value and negative predictive value were 80.85%, 84.44%, 93.33% and 46.67%respectively.Fifteen different proteins existed between non-inflammatory pretenn and control groups.There were 4 marker proteins.The rates of specificity,sensitivity,positive predictive value and negative predictive value were 75.68%,64.44%,80.00% and 66.67% respectively.Different marker proteins existed between the identification models of inflammatory preterm labor and inflammatory full-term. Conclusion Different serum proteomic models may be used for the diagnosis of preterm labor and the differentiation of preterm labor with or without inflammation.And different proteins are expressed during different stages of pregnancy with chorioamnionitis.