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叶酸及其相关代谢物在神经管畸形风险评估和预测中的作用比较研究  ( SCI-EXPANDED收录)  

A Comparative Study Among Folic Acid and Its Related Metabolites on Risk Assessment and Prediction of Neural Tube Defects

文献类型:期刊文献

中文题名:叶酸及其相关代谢物在神经管畸形风险评估和预测中的作用比较研究

英文题名:A Comparative Study Among Folic Acid and Its Related Metabolites on Risk Assessment and Prediction of Neural Tube Defects

作者:黄敏[1,2];梁晓萍[1,2];梁琼麟[2];王义明[2];罗国安[1,2]

机构:[1]华东理工大学药学院,上海200237;[2]清华大学化学系,北京100084

年份:2013

卷号:41

期号:1

起止页码:15

中文期刊名:分析化学

外文期刊名:Chinese Journal of Analytical Chemistry

收录:CSTPCD;;Scopus;WOS:【SCI-EXPANDED(收录号:WOS:000315021700003)】;北大核心:【北大核心2011】;CSCD:【CSCD2013_2014】;

基金:国家重点基础研究发展计划(973计划)项目(No.2007CB511903)资助

语种:中文

中文关键词:HPLC-MS;MS;Logistic回归;ROC分析;叶酸;5-甲基四氢叶酸;同型半胱氨酸

外文关键词:High performance liquid chromatography tandem mass spectrometry; Logistic regression;Receiver operating characteristic analysis ; Folic acid ; 5-Methyltetrahydrofolate ; Homocysteine

摘要:以叶酸及其相关代谢物为研究对象,结合定量分析方法以及多种统计学方法,比较它们在神经管畸形发病风险评估和预测中的作用。采用前期建立的HPLC-MS/MS方法测定了121例病例和118例对照母体血清中的代谢物水平,通过双样本成对t检验筛选差异代谢物(p<0.05),然后利用Logistic回归和ROC分析计算这些代谢物的优势比以及预测灵敏度及特异性、阳性和阴性预测率。结果表明,4种差异代谢物中,5-甲基四氢叶酸和同型半胱氨酸的优势比、阳性和阴性预测率均高于叶酸。本方法适用于疾病标志物的筛选和评价。
Quantitative method and multiple statistical methods were used to compare the effect of folic acid and its related metabolites on risk assessment and prediction of neural tube defects. First, a previously established HPLC-MS/MS method was employed to determine the levels of these metabolites in maternal serum samples of 121 cases and 118 controls. Then two-sample t test (p〈0.05) was used to obtain differential metabolites between these two groups. At last, Logistic regression and receiver operating characteristic (ROC) analysis were employed to calculate the odds ratio, sensitivity and specificity, positive and negative predictive rate of these metabolites. Results showed that among the 4 differential metabolites, 5-methyltetrahydrofolate and homocysteine both got higher odds ratio, positive and negative predictive rate than folic acid. The method was suitable for screening and assessment of disease biomarkers.

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