中南大学学报(医学版)
中南大學學報(醫學版)
중남대학학보(의학판)
JOURNAL OF CENTRAL SOUTH UNIVERSITY (MEDICAL SCIENCES)
2010年
12期
1214-1218
,共5页
巴吐尔·买买提明%阿仙姑·哈斯木%陈春丽%哈木拉提·吾甫尔
巴吐爾·買買提明%阿仙姑·哈斯木%陳春麗%哈木拉提·吾甫爾
파토이·매매제명%아선고·합사목%진춘려%합목랍제·오보이
代谢组学%磁共振%标准化
代謝組學%磁共振%標準化
대사조학%자공진%표준화
metabonomics%magnetic resonance%normalization
目的:采用磁共振(magnetic resonance, MR)波谱技术测试不同性别大鼠尿液代谢物并用不同标准化方法进行预处理,探讨不同标准化方法对分析结果的影响.方法:大鼠尿液MR 图谱数据经过中心化(mean-centering and not scaling,Ctr)和自动规格化(unit variance scaling,UV)两种不同标准化方法处理后用正交偏最小二乘判别分析(orthogonal to partial least squares discriminant analysis, OPLS-DA)法分析,通过相关系数的计算确定不同性别大鼠尿液中含量有差异的代谢物.结果:数据进行中心化处理后判别出两组大鼠尿液中缬氨酸、乙酸、鸟氨酸、氨基马尿酸、苯乙胺、氧氨嘧啶、甲胺、二甲胺、尿囊素、延胡索酸、丙氨酸、柠檬酸和化学位移在δ4.14的一种未知代谢物等13种代谢物含量有差异.进行自动规格化处理后,判别出以上除柠檬酸外的12种代谢物以及硫胺、肌酸酐、甲酸和化学位移在δ2.92的一种未知代谢物等4种代谢物含量有差异.结论:自动规格化处理是代谢组学研究中比较灵敏的数据预处理手段.
目的:採用磁共振(magnetic resonance, MR)波譜技術測試不同性彆大鼠尿液代謝物併用不同標準化方法進行預處理,探討不同標準化方法對分析結果的影響.方法:大鼠尿液MR 圖譜數據經過中心化(mean-centering and not scaling,Ctr)和自動規格化(unit variance scaling,UV)兩種不同標準化方法處理後用正交偏最小二乘判彆分析(orthogonal to partial least squares discriminant analysis, OPLS-DA)法分析,通過相關繫數的計算確定不同性彆大鼠尿液中含量有差異的代謝物.結果:數據進行中心化處理後判彆齣兩組大鼠尿液中纈氨痠、乙痠、鳥氨痠、氨基馬尿痠、苯乙胺、氧氨嘧啶、甲胺、二甲胺、尿囊素、延鬍索痠、丙氨痠、檸檬痠和化學位移在δ4.14的一種未知代謝物等13種代謝物含量有差異.進行自動規格化處理後,判彆齣以上除檸檬痠外的12種代謝物以及硫胺、肌痠酐、甲痠和化學位移在δ2.92的一種未知代謝物等4種代謝物含量有差異.結論:自動規格化處理是代謝組學研究中比較靈敏的數據預處理手段.
목적:채용자공진(magnetic resonance, MR)파보기술측시불동성별대서뇨액대사물병용불동표준화방법진행예처리,탐토불동표준화방법대분석결과적영향.방법:대서뇨액MR 도보수거경과중심화(mean-centering and not scaling,Ctr)화자동규격화(unit variance scaling,UV)량충불동표준화방법처리후용정교편최소이승판별분석(orthogonal to partial least squares discriminant analysis, OPLS-DA)법분석,통과상관계수적계산학정불동성별대서뇨액중함량유차이적대사물.결과:수거진행중심화처리후판별출량조대서뇨액중힐안산、을산、조안산、안기마뇨산、분을알、양안밀정、갑알、이갑알、뇨낭소、연호색산、병안산、저몽산화화학위이재δ4.14적일충미지대사물등13충대사물함량유차이.진행자동규격화처리후,판별출이상제저몽산외적12충대사물이급류알、기산항、갑산화화학위이재δ2.92적일충미지대사물등4충대사물함량유차이.결론:자동규격화처리시대사조학연구중비교령민적수거예처리수단.
Objective To study metabonomics in the urine of rats of different genders by magnetic resonance (MR) with 2 normalization methods. Methods Different normalization methods such as mean-centering not scaling (Ctr) and unit variance scaling (UV) were used before orthogonal to partial least squares discriminant analysis(OPLS-DA). Distinguished metabolites in the urine of different gender rats were analyzed by calculating the correlation coefficients. Results The data normalized by Ctr before OPLS-DA analysis revealed high degree conception metabolites in the urine such as valine, alanine, acetate, ornithine, aminohippurate, phenylethylamine, cytosine, citrate, dimethylamine, allantoin, methylamine, fumarate and one unknown metabolite whose chemical shift was δ4.14. Data normalized by UV before OPLS-DA analysis revealed the above 12 high degree conception metabolites except citrate, and also low degree conception metabolites such as thiamine, creatinine, formate and one unknown metabolite whose chemical shift was δ2.92.Conclusion Unit variance scaling is a more effective normalization method in metabonomic analysis.