Turner Elizabeth, Brewster Jennifer A, Simpson Nigel A B, Walker James J, Fisher Julie
School of Chemistry, University of Leeds, Leeds, United Kingdom.
Reprod Sci. 2009 Nov;16(11):1040-51. doi: 10.1177/1933719109340928. Epub 2009 Aug 5.
Using (1)H-nuclear magnetic resonance (NMR) spectroscopy and statistical models, we sought to identify ''biomarkers'' present in erythrocytes that would distinguish between women with normal pregnancy and those suffering from preeclampsia, and investigate possible links with previously identified plasma ''markers.'' Erythrocytes from 22 normotensive pregnant women and 15 preeclamptics were analyzed by (1)H Carr-Purcell-Meiboom-Gill (CPMG) NMR. Multivariate analysis and logistic regression were applied to differentiate between the 2 groups of patients, and used to develop a diagnostic model based on the concentrations of the constituents identified as being influential. Significantly higher concentrations of alanine (P < .001), glycine (P = .025), and ergothioneine (P = .049) were found in erythrocytes from preeclamptic patients. Discriminant analysis and regression of NMR data permitted 100% accurate diagnosis of the health status of new patients. Chemically related imidazole-based molecules, histidine and ergothioneine, are important in the classification process and the etiology of preeclampsia (PE).
利用氢核磁共振(NMR)光谱学和统计模型,我们试图识别红细胞中存在的“生物标志物”,这些标志物能够区分正常妊娠的女性和患有先兆子痫的女性,并研究其与先前确定的血浆“标志物”之间可能存在的联系。对22名血压正常的孕妇和15名先兆子痫患者的红细胞进行了氢卡-普-米(CPMG)NMR分析。应用多变量分析和逻辑回归来区分两组患者,并基于被确定为有影响的成分浓度建立诊断模型。先兆子痫患者的红细胞中丙氨酸(P <.001)、甘氨酸(P =.025)和麦角硫因(P =.049)的浓度显著更高。NMR数据判别分析和回归能够100%准确诊断新患者的健康状况。化学相关的基于咪唑的分子、组氨酸和麦角硫因在分类过程和先兆子痫(PE)的病因学中很重要。