国际移植与血液净化杂志
國際移植與血液淨化雜誌
국제이식여혈액정화잡지
INTERNATIONAL JOURNAL OF TRANSPLANTATION AND HEMOPURIFICATION
2013年
1期
28-33
,共6页
核磁共振%代谢组学%肾移植%生物标志物
覈磁共振%代謝組學%腎移植%生物標誌物
핵자공진%대사조학%신이식%생물표지물
Nuclear magnetic resonance%Metabolomics%Renal transplantation%Biomarkers
目的 探讨肾移植前后患者和健康者血清中小分子代谢物的差异,分析术前和术后代谢物特征.方法 利用质谱核磁共振技术,并结合主成分分析和偏最小二乘法-判别分析方法比较20例肾移植患者术前、术后1及7d与28例健康对照者血清中内源性代谢物差异,建立偏最小二乘法-判别分析模型,预测其正确率、灵敏度和特异性.结果 共筛选出19种差异峰和10种潜在生物标志物,其中差异最显著的4种代谢物(甜菜碱、葡萄糖、牛磺酸和甘油磷酸胆碱)在肾移植患者中的含量均低于健康对照者,而乳酸的含量则高于健康对照者.偏最小二乘法-判别分析模型对肾移植患者的预测正确率为98.7％,灵敏度为95.4％,特异性为100％.结论 应用质谱核磁共振代谢组学技术成功建立了肾移植前、术后1和7d患者血清代谢物的诊断模型,为临床诊断提供了新的有用的工具.
目的 探討腎移植前後患者和健康者血清中小分子代謝物的差異,分析術前和術後代謝物特徵.方法 利用質譜覈磁共振技術,併結閤主成分分析和偏最小二乘法-判彆分析方法比較20例腎移植患者術前、術後1及7d與28例健康對照者血清中內源性代謝物差異,建立偏最小二乘法-判彆分析模型,預測其正確率、靈敏度和特異性.結果 共篩選齣19種差異峰和10種潛在生物標誌物,其中差異最顯著的4種代謝物(甜菜堿、葡萄糖、牛磺痠和甘油燐痠膽堿)在腎移植患者中的含量均低于健康對照者,而乳痠的含量則高于健康對照者.偏最小二乘法-判彆分析模型對腎移植患者的預測正確率為98.7％,靈敏度為95.4％,特異性為100％.結論 應用質譜覈磁共振代謝組學技術成功建立瞭腎移植前、術後1和7d患者血清代謝物的診斷模型,為臨床診斷提供瞭新的有用的工具.
목적 탐토신이식전후환자화건강자혈청중소분자대사물적차이,분석술전화술후대사물특정.방법 이용질보핵자공진기술,병결합주성분분석화편최소이승법-판별분석방법비교20례신이식환자술전、술후1급7d여28례건강대조자혈청중내원성대사물차이,건립편최소이승법-판별분석모형,예측기정학솔、령민도화특이성.결과 공사선출19충차이봉화10충잠재생물표지물,기중차이최현저적4충대사물(첨채감、포도당、우광산화감유린산담감)재신이식환자중적함량균저우건강대조자,이유산적함량칙고우건강대조자.편최소이승법-판별분석모형대신이식환자적예측정학솔위98.7％,령민도위95.4％,특이성위100％.결론 응용질보핵자공진대사조학기술성공건립료신이식전、술후1화7d환자혈청대사물적진단모형,위림상진단제공료신적유용적공구.
Objective To compare serum levels of small molecular metabolites in patients underwent renal transplantation.Methods Proton nuclear magnetic resonance (NMR) combining with multivariate pattern recognition namely principal component analysis (PCA),partial least squares-diseriminant analysis (PLS-AS) were used to analyze serum endogenous metabolites in 20 patients at 1 or 7 days after renal transplantation and 28 healthy controls.PLS-DA model was established to predict the accuracy,sensitivity and specificity in the diagnosis of the disease.Results Nienty different peaks and 10 potential biomarkers were detected.Five metabolites were the most significant differences.In comparison with the controls,both pre-transplant patients and post-transplant patients had lower levels of betaine,glucose,taurine,glycerphosphorylcholine,together with higher level of lactate.The results of PLS-DA model showed that renal transplantation groups could be discriminated from the controls with accuracy,sensitivity and specificity being of 98.7％,95.4％ and 100％,respectively.Conclusions The 1H-NMR-base metabolomics methods could distinguish the pretransplant patients and transplantation after 1 and 7 days patients from controls,establishing successfully diagnostic model for monitoring the status of graft,which would be a promising new technology in clinic.
