上海医学
上海醫學
상해의학
SHANGHAI MEDICAL JOURNAL
2009年
11期
999-1002
,共4页
江来%万小健%卞金俊%尤新民
江來%萬小健%卞金俊%尤新民
강래%만소건%변금준%우신민
重症胰腺炎%代谢组学%核磁共振
重癥胰腺炎%代謝組學%覈磁共振
중증이선염%대사조학%핵자공진
Severe acute pancreatitis%Metabonomics%Nuclear magnetic resonance
目的 应用核磁共振(NMK)代谢组学技术研究急性重症胰腺炎(SAP)大鼠全身代谢状况,为临床SAP患者的诊断及营养支持提供理论依据.方法 将50只Sprague-Dawley大鼠随机分为SAP组和假手术组,术后3 d取血2 mL,离心后收集上清液.采用NMR分析大鼠血清代谢特征,进而采用正交偏最小二乘-判别分析法(OPLS-DA)处理NMR数据,获得SAP的代谢标志物,继而采用径向基函数神经网络算法(RBFNN)构建SAP的诊断模型.结果 SPA组与假手术组间代谢谱差异显著.与假手术组相比,SAP组大鼠血清中与糖代谢(葡萄糖、乳酸、丙酮酸)、氨基酸代谢(丙氨酸、肌酐、尿素氮)、脂肪代谢(乙酰乙酸、羟丁酸、丙酮、三酰甘油)以及核酸代谢(腺嘌呤)有关的中间产物或终产物浓度显著增加(P值分别<0.05、0.01),而甲酸浓度显著降低(P<0.05).采用所有代谢物信息构建的SAP诊断模型,其敏感度为(98.1±士1.9)%,特异度为(97.9±1.1)%.结论 SAP后,机体发生严重的糖、蛋白质、脂肪和核酸的代谢紊乱,采用基于NMR的代谢组学技术能很好地反映上述改变,有效识别SAP.
目的 應用覈磁共振(NMK)代謝組學技術研究急性重癥胰腺炎(SAP)大鼠全身代謝狀況,為臨床SAP患者的診斷及營養支持提供理論依據.方法 將50隻Sprague-Dawley大鼠隨機分為SAP組和假手術組,術後3 d取血2 mL,離心後收集上清液.採用NMR分析大鼠血清代謝特徵,進而採用正交偏最小二乘-判彆分析法(OPLS-DA)處理NMR數據,穫得SAP的代謝標誌物,繼而採用徑嚮基函數神經網絡算法(RBFNN)構建SAP的診斷模型.結果 SPA組與假手術組間代謝譜差異顯著.與假手術組相比,SAP組大鼠血清中與糖代謝(葡萄糖、乳痠、丙酮痠)、氨基痠代謝(丙氨痠、肌酐、尿素氮)、脂肪代謝(乙酰乙痠、羥丁痠、丙酮、三酰甘油)以及覈痠代謝(腺嘌呤)有關的中間產物或終產物濃度顯著增加(P值分彆<0.05、0.01),而甲痠濃度顯著降低(P<0.05).採用所有代謝物信息構建的SAP診斷模型,其敏感度為(98.1±士1.9)%,特異度為(97.9±1.1)%.結論 SAP後,機體髮生嚴重的糖、蛋白質、脂肪和覈痠的代謝紊亂,採用基于NMR的代謝組學技術能很好地反映上述改變,有效識彆SAP.
목적 응용핵자공진(NMK)대사조학기술연구급성중증이선염(SAP)대서전신대사상황,위림상SAP환자적진단급영양지지제공이론의거.방법 장50지Sprague-Dawley대서수궤분위SAP조화가수술조,술후3 d취혈2 mL,리심후수집상청액.채용NMR분석대서혈청대사특정,진이채용정교편최소이승-판별분석법(OPLS-DA)처리NMR수거,획득SAP적대사표지물,계이채용경향기함수신경망락산법(RBFNN)구건SAP적진단모형.결과 SPA조여가수술조간대사보차이현저.여가수술조상비,SAP조대서혈청중여당대사(포도당、유산、병동산)、안기산대사(병안산、기항、뇨소담)、지방대사(을선을산、간정산、병동、삼선감유)이급핵산대사(선표령)유관적중간산물혹종산물농도현저증가(P치분별<0.05、0.01),이갑산농도현저강저(P<0.05).채용소유대사물신식구건적SAP진단모형,기민감도위(98.1±사1.9)%,특이도위(97.9±1.1)%.결론 SAP후,궤체발생엄중적당、단백질、지방화핵산적대사문란,채용기우NMR적대사조학기술능흔호지반영상술개변,유효식별SAP.
Objective To study the metabolic state of rats with experimental severe acute pancreatitis (SAP)using metabonomics technology,so as to provide a theoretical basis for diagnosis and nutritional support of clinical SAP patients.Methods Fifty rats were randomly allocated to SAP group and sham-operated group(n=25).On day 3 after surgery,2 mL blood samples were collected and the serum was obtained.Nuclear Magnetic Resonance(NMR)spectroscopy was used for acquiring serum metabolic profiles;orthogonal partial least squares discriminant analysis(OPLS-DA)was utilized to analyze the NMR data;then radial basis function neural network was employed to set up a diagnosis model for severe acute pancreatitis.Results NMR-based metabolic profiling could differentiate the pathologic characteristics of serum samples from sham-operated and SPA rats.Compared with sham-operated group,metabolites related to glucose metabolism(glucose,lactic acid,pyruvic acid),amino acid metabolism(alanine,creatinine,blood urea nitrogen),fat metabolism(acetyl acid,hydroxybutyric acid,acetone,triglyceride),and nucleic acid metabolism(adenine,hypoxanthine)were significantly increased in SPA group(P<0.05 or 0.01);the concentration of formic acid was significantly decreased in SPA group(P<0.05).A RBFNN model for diagnosis of SAP was established based on the metabolic profile data obtained,with the sensitivity being(98.1±1.9)%(n=10)and specificity being(97.9±1.1)%(n=10).Conclusion NMRbased metabonomic approach can clearly reveal the metabolic disturbance of glucose,amino acid,fatty acid and nucleic acid in severe acute pancreatitis rats.