中华医学杂志
中華醫學雜誌
중화의학잡지
National Medical Journal of China
2011年
48期
3393-3396
,共4页
武多娇%许明%朱东%戎瑞明%唐群业%王向东%朱同玉
武多嬌%許明%硃東%戎瑞明%唐群業%王嚮東%硃同玉
무다교%허명%주동%융서명%당군업%왕향동%주동옥
肾移植%移植物排斥%蛋白质组%血液凝固%转录调控网络
腎移植%移植物排斥%蛋白質組%血液凝固%轉錄調控網絡
신이식%이식물배척%단백질조%혈액응고%전록조공망락
Kidney transplantation%Graft rejection%Proteome%Blood coagulation%Transcription regulation networks
目的 探讨蛋白质组学在急性排斥反应(AR)发病机制研究中的应用.方法 应用同位素标记相对和绝对定量(iTRAQ)标记的定量蛋白质组学方法比较2008至2010年复旦大学附属中山医院肾移植术后5例发生AR和8例肾功能稳定患者的血浆蛋白谱.结果 比较两组患者血浆蛋白谱,发现了179个差异表达的蛋白;其中有66个蛋白表达差异在2倍以上.MetaCore软件分析结果显示差异蛋白主要参与炎症反应、补体激活等病程,符合AR的免疫排斥病程;并且蛋白组学结果提示AR患者存在高凝状态.转录调控网络分析发现AR中有多个转录因子包括核因子-κB、信号转录和激活因子( STAT)1、STAT3及它们之间的交联对话在AR和凝血系统激活中起到重要作用.结论 蛋白组学分析为AR的机制研究提供一种新的研究策略.
目的 探討蛋白質組學在急性排斥反應(AR)髮病機製研究中的應用.方法 應用同位素標記相對和絕對定量(iTRAQ)標記的定量蛋白質組學方法比較2008至2010年複旦大學附屬中山醫院腎移植術後5例髮生AR和8例腎功能穩定患者的血漿蛋白譜.結果 比較兩組患者血漿蛋白譜,髮現瞭179箇差異錶達的蛋白;其中有66箇蛋白錶達差異在2倍以上.MetaCore軟件分析結果顯示差異蛋白主要參與炎癥反應、補體激活等病程,符閤AR的免疫排斥病程;併且蛋白組學結果提示AR患者存在高凝狀態.轉錄調控網絡分析髮現AR中有多箇轉錄因子包括覈因子-κB、信號轉錄和激活因子( STAT)1、STAT3及它們之間的交聯對話在AR和凝血繫統激活中起到重要作用.結論 蛋白組學分析為AR的機製研究提供一種新的研究策略.
목적 탐토단백질조학재급성배척반응(AR)발병궤제연구중적응용.방법 응용동위소표기상대화절대정량(iTRAQ)표기적정량단백질조학방법비교2008지2010년복단대학부속중산의원신이식술후5례발생AR화8례신공능은정환자적혈장단백보.결과 비교량조환자혈장단백보,발현료179개차이표체적단백;기중유66개단백표체차이재2배이상.MetaCore연건분석결과현시차이단백주요삼여염증반응、보체격활등병정,부합AR적면역배척병정;병차단백조학결과제시AR환자존재고응상태.전록조공망락분석발현AR중유다개전록인자포괄핵인자-κB、신호전록화격활인자( STAT)1、STAT3급타문지간적교련대화재AR화응혈계통격활중기도중요작용.결론 단백조학분석위AR적궤제연구제공일충신적연구책략.
Objective To explore the application of proteomics in the mechanistic analysis of acute rejection (AR).Methods Quantified proteomics with isobaric tags for relative and absolute quantitation (iTRAQ) labeling was utilized to identify the protein profiling between the transplantation patients with( n =5 )or without AR (n =8)from 2008 to 2010.Results Among the 179 identified proteins,66 proteins in AR patients had at least a 2-fold change as compared with those without AR. The results demonstrated the dominant processes and responses associated with inflammation and complement activation.It was consistent with the underlying immune rejection associated with AR. Moreover,the results also indicated that highcoagulation state existed in AR patients.A number of transcription factors were identified in AR patients,including nuclear factor-κB,signal transducer and activator of transcription 1,signal transducer and activator of transcription 3.The analysis of transcription regulation networks suggested that the cross-talks among these key transcription factors might play an important role in the acute response and activation of coagulation system.Conclusion The application of proteomics provides a new strategy of mechanistic analysis in AR.