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作 者:巴吐尔·买买提明[1] 勉强辉[1] 陈春丽[1] 阿仙姑·哈斯木[2] 尤丽[1]
机构地区:[1]新疆医科大学药学院,乌鲁木齐830011 [2]新疆医科大学基础医学院,乌鲁木齐830011
出 处:《中南大学学报(医学版)》2012年第11期1135-1140,共6页Journal of Central South University :Medical Science
基 金:国家自然科学基金(81160459)~~
摘 要:目的:寻找新疆汉族不同性别人群体液差异性代谢成分。方法:对92例不同性别汉族健康人血清和尿液样本进行研究。血清和尿液样本采用磁共振方法进行测试,并采用正交偏最小二乘判别分析(OPLS-DA)法进行模式识别分析,最后以R2X,R2Y,Q2等参数评价和分析结果。结果:男性血清极低密度脂蛋白、低密度脂蛋白、不饱和脂类、肌酸酐和丙酮等代谢物含量比女性高,而女性血清中柠檬酸、胆碱、葡萄糖及多种氨基酸(包括异亮氨酸、亮氨酸、缬氨酸、丙氨酸、瓜氨酸、赖氨酸、蛋氨酸、谷氨酸、苯丙氨酸、苏氨酸、酪氨酸、1-甲基组氨酸、甘氨酸等)含量高于男性;男性尿液中甲酸、丙二酸、牛磺酸、肌酸酐等代谢物含量比女性高,而女性尿液中马尿酸、γ-氨基丁酸、琥珀酸盐、柠檬酸和谷氨酸等代谢物含量高于男性。血清分析的模型参数为R2X=0.64,R2Y=0.70,Q2=0.67,尿液分析的模型参数为R2X=0.17,R2Y=0.70,Q2=0.44。结论:新疆健康人群血液和尿液中包含了多种与性别有关的代谢成分,这种差异性代谢产物的发现在临床代谢组学研究中具有积极的意义。Objective: To investigate gender variability in the metabolic serum and urinary profile of healthy Han population in Xinjiang. Methods: Serum and urinary samples from 92 healthy Han people in Xinjiang were tested by magnetic resonance based metabonomics and pattern recognition analysis performed with orthogonal partial least-squares discriminant analysis (OPLS-DA). qtae quality of the model was described by parameter R2X, R2y, and Q~. Results: The serum in males had higher levels of very low density lipoprotein, low density lipoprotein, unsaturated lipids, creatinine and acetone than in females, whereas females had higher levels of citrate, choline, glucose and amino acids (including isoleucine, leucine, valine, alanine,citrulline, 1ysine, methionine, glutamate, phenylalanine, threonine, tyrosine, 1-methyl histidine and glycine) than in males. The urine of males had higher levels of formate, malonic acid, taurine, creatinine than that of females, while females had higher levels of hippurate, T-aminobutyric acid, succinate, citrate and glutamate than males. The model parameters of serum were R2X=0.6% R2Y=0.70, and Q2=0.67, and those of urine were R2X=0.17, R2Y=0.70, and Q2=0.44. Conclusion: The blood and urine from Han population in Xinjiang contain a variety of gender related metabolites, which plays an important role in the research of clinical metabonomics.
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