色谱
色譜
색보
CHINESE JOURNAL OF CHROMATOGRAPHY
2006年
2期
109-113
,共5页
卢果%汪江山%赵欣捷%孔宏伟%许国旺
盧果%汪江山%趙訢捷%孔宏偉%許國旺
로과%왕강산%조흔첩%공굉위%허국왕
代谢组学%超高效液相色谱%质谱%尿液%性别差异%偏最小二乘法判别分析
代謝組學%超高效液相色譜%質譜%尿液%性彆差異%偏最小二乘法判彆分析
대사조학%초고효액상색보%질보%뇨액%성별차이%편최소이승법판별분석
metabonomics%ultra high performance liquid chromatography (UPLC)%mass spectrometry (MS)%urine%gender difference%partial least squares discriminant analysis (PLS-DA)
尿中的代谢产物可以反映生命个体的生理状态.为了考察在非严格控制条件下(即对志愿者的饮食、生活方式以及样品采集时间等诸多条件不加以控制)基于尿中代谢物的指纹图谱对男女性别进行区分的可行性,采用超高效液相色谱/飞行时间质谱(UPLC/TOF-MS)联用技术分析了31个随机尿样,并用主成分分析法(PCA)和偏最小二乘法判别分析(PLS-DA)两种数据处理方法对数据进行处理,与PCA法比较,PLS-DA法能提高分类效果,并筛选出4种可能的与性别相关的生物标记物.研究结果表明,UPLC/MS联用技术通量高,数据量丰富;模式识别数据处理方法适合于从大量数据中提取信息,两者的结合有利于代谢组学的研究.
尿中的代謝產物可以反映生命箇體的生理狀態.為瞭攷察在非嚴格控製條件下(即對誌願者的飲食、生活方式以及樣品採集時間等諸多條件不加以控製)基于尿中代謝物的指紋圖譜對男女性彆進行區分的可行性,採用超高效液相色譜/飛行時間質譜(UPLC/TOF-MS)聯用技術分析瞭31箇隨機尿樣,併用主成分分析法(PCA)和偏最小二乘法判彆分析(PLS-DA)兩種數據處理方法對數據進行處理,與PCA法比較,PLS-DA法能提高分類效果,併篩選齣4種可能的與性彆相關的生物標記物.研究結果錶明,UPLC/MS聯用技術通量高,數據量豐富;模式識彆數據處理方法適閤于從大量數據中提取信息,兩者的結閤有利于代謝組學的研究.
뇨중적대사산물가이반영생명개체적생리상태.위료고찰재비엄격공제조건하(즉대지원자적음식、생활방식이급양품채집시간등제다조건불가이공제)기우뇨중대사물적지문도보대남녀성별진행구분적가행성,채용초고효액상색보/비행시간질보(UPLC/TOF-MS)련용기술분석료31개수궤뇨양,병용주성분분석법(PCA)화편최소이승법판별분석(PLS-DA)량충수거처리방법대수거진행처리,여PCA법비교,PLS-DA법능제고분류효과,병사선출4충가능적여성별상관적생물표기물.연구결과표명,UPLC/MS련용기술통량고,수거량봉부;모식식별수거처리방법괄합우종대량수거중제취신식,량자적결합유리우대사조학적연구.
Metabolites in urine can illustrate the physical condition of an individual as a whole. Ultra high performance liquid chromatography/time of flight mass spectrometry (UPLC/TOF-MS) is a relative new technique for the separation of complex samples. The aim of this study is to assess the feasibility of metabonomics in gender difference in unrestricted conditions, I.e. For healthy volunteers there are no strict controls such as food, life style and the collection of urine samples. In this work, 31 spontaneous urine samples were collected and analyzed by using UPLC/TOF-MS. Principal components analysis (PCA) and partial least squares discriminant analysis (PLS-DA) models were tested and compared in samples classification. The gender discrimination was highly improved and some gender related biomarkers were found by PLS-DA. These preliminary results suggested that UPLC/MS-based approaches coupled with pattern recognition show promise for metabonomics.