妊娠胆汁淤积症
胆汁淤积
胆汁酸
怀孕
代谢组学
胃肠病学
医学
产科
内科学
化学
胎儿
生物
色谱法
遗传学
作者
Xu Hualin,Yupin Xu,Zhao Guoqiang,Xukun Fu,Jian Zhao,Huaqian Wang,Yuliang Cai,Lin Hongmei
出处
期刊:Molecular omics
[The Royal Society of Chemistry]
日期:2023-01-01
卷期号:19 (5): 418-428
被引量:4
摘要
Intrahepatic cholestasis of pregnancy (ICP) is a pregnancy-specific hepatobiliary disease, leading to an abnormal increase in total bile acid in the blood of pregnant women. To systematically explore the similarities and differences in metabolites and metabolic pathways among three types of biological samples from ICP women, a study of 18 ICP and 6 healthy (as a normal control) pregnant women was performed to investigate their clinical information and biochemical features. Based on validated LC-MS/MS methods 1-5 for hydrophilic and hydrophobic metabolites (molecular weight <2000 Dalton), an untargeted-metabolomic strategy was applied to 24 pregnant women to determine the metabolites from 22 serum, 15 placental and 22 urine samples. Then 1137 metabolites from serum, 876 metabolites from placental tissue and 311 metabolites from urine with a coefficient of variation <30% in the pooled quality control samples were found. Furthermore, orthogonal partial least squares-discriminate analysis (OPLS-DA), correlation analysis, chemical enrichment analysis and metabolic pathway analysis were carried out by a bioinformatics process. On the OPLS-DA model analysis, the metabolites in urine were better than those in serum or placental tissue to reflect the metabolic changes of ICP disease. Some metabolites were significantly changed in serum (n = 71), placental tissue (n = 46) and urine (n = 36), such as bile acids, triacylglycerols, lysoPCs, and steroids. Primary bile acid biosynthesis was the main metabolic pathway in ICP disease, and taurine and hypotaurine metabolism and sphingolipid metabolism were also found. More specifically, bile acids increased and steroids decreased in the serum, placental and urine samples. For complex metabolic diseases such as ICP disease, untargeted-metabolomic analysis of multiple biological samples could provide a systematic understanding of the changes in metabolic types and pathways.
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