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基于高效液相色谱/质谱联用技术的妊娠期肝内胆汁淤积症尿液代谢组学分析

Urinary metabolomic analysis of intrahepatic cholestasis of pregnancy based on high performance liquid chromatography/mass spectrometry.

作者信息

Ma Li, Zhang Xiaoqing, Pan Feng, Cui Yue, Yang Ting, Deng Linlin, Shao Yong, Ding Min

机构信息

Key Laboratory of Clinical Laboratory Diagnostics, Ministry of Education, College of Laboratory Medicine, Chongqing Medical University, Chongqing 400016, PR China.

Biomedical Analysis Center, Third Military Medical University, Chongqing 400030, PR China.

出版信息

Clin Chim Acta. 2017 Aug;471:292-297. doi: 10.1016/j.cca.2017.06.021. Epub 2017 Jun 29.

DOI:10.1016/j.cca.2017.06.021
PMID:28669684
Abstract

BACKGROUND

Intrahepatic cholestasis of pregnancy (ICP), a pregnancy-related liver disease, leads to complications for both mothers and fetuses. Metabolomic approach has been applied to maternal-fetal medicine. The global metabolomic alterations that are specific in ICP as yet have not been investigated.

METHODS

Based on high performance liquid chromatography/hybrid quadrupole time-of-flight (HPLC/Q-TOF) mass spectrometry, the untargeted metabolomics was used to analyze the changes of urinary metabolites between ICP group and the control group.

RESULTS

One hundred nine variables in positive model and 119 variables in negative model were significantly different (p<0.05) between the ICP group and the control group, with the VIP (variable importance in the project) score>1 by the orthogonal partial least squares discriminant analysis (OPLS-DA). 14 metabolites in positive model and 18 metabolites in negative model were selected and identified based on HMDB (human metabolome database). Most of these metabolites were involved in bile acids biosynthesis and metabolism, hormone metabolism and lipid metabolism. A metabolite panel (MG (22:5), LysoPE (22:5), l-homocysteine sulfonic acid, glycocholic acid and chenodeoxycholic acid 3-sulfate) was contrusted by the binary logistic regression analysis with high diagnostic accuracy for ICP. The area under the receiver operating characteristic curve was 0.988 with the sensitivity of 90.0% and specificity of 93.3%.

CONCLUSIONS

Urinary metabolites allow for the discrimination of ICP from the controls by orthogonal partial least squares discriminant analysis. Therefore, these findings may provide deep insights for the etiopathogenesis of ICP. Moreover, the maternal urinary metabolite panel has the potential to be used as non-invasive biomarkers for the diagnosis of ICP.

摘要

背景

妊娠期肝内胆汁淤积症(ICP)是一种与妊娠相关的肝脏疾病,会给母亲和胎儿带来并发症。代谢组学方法已应用于母胎医学领域。然而,ICP特有的整体代谢组学变化尚未得到研究。

方法

基于高效液相色谱/混合四极杆飞行时间(HPLC/Q-TOF)质谱,采用非靶向代谢组学分析ICP组和对照组之间尿液代谢物的变化。

结果

通过正交偏最小二乘法判别分析(OPLS-DA),ICP组和对照组之间在正模式下有109个变量、负模式下有119个变量存在显著差异(p<0.05),且变量重要性投影(VIP)得分>1。基于人类代谢组数据库(HMDB),在正模式下筛选并鉴定了14种代谢物,负模式下鉴定了18种代谢物。这些代谢物大多参与胆汁酸的生物合成与代谢、激素代谢和脂质代谢。通过二元逻辑回归分析构建了一个代谢物panel(MG(22:5)、LysoPE(22:5)、L-高半胱氨酸磺酸、甘氨胆酸和鹅去氧胆酸3-硫酸盐),对ICP具有较高的诊断准确性。受试者工作特征曲线下面积为0.988,灵敏度为90.0%,特异性为93.3%。

结论

尿液代谢物可通过正交偏最小二乘法判别分析将ICP与对照组区分开来。因此,这些发现可能为ICP的发病机制提供深入见解。此外,母体尿液代谢物panel有潜力作为诊断ICP的非侵入性生物标志物。

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