Comprehensive metabolomic analysis of first-trimester serum identifies biomarkers of early-onset hypertensive disorder of pregnancy

Comprehensive metabolomic analysis of first-trimester serum identifies biomarkers of early-onset hypertensive disorder of pregnancy
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DOI:
10.1038/s41598-020-70974-3
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发表时间:
2020-08-17
期刊:
影响因子:
4.6
通讯作者:
Fujimori, Keiya
Fujimori, Keiya
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Kyozuka, Hyo;Fukuda, Toma;Fujimori, Keiya

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妊娠期高血压疾病(HDP)每年导致约30,000名妇女死亡,在症状发生前识别生物标志物以预测其发作至关重要。在这里,我们的目的是通过全面的代谢组学分析来确定早期妊娠母体血清生物标志物,以预测早发性HDP。本研究由福岛地区中心作为日本环境与儿童研究的辅助研究进行。该研究包括12例早发性HDP患者和12例健康妊娠的对照组,其医学背景信息与患者的倾向评分匹配。毛细管电泳和质谱为基础的定量分析带电代谢物进行了与孕早期母体血清样品。采用Welch t检验分析两组代谢物峰面积。共鉴定出166种带电代谢物。早发型HDP患者孕早期血清中N-二甲基甘氨酸和S-甲基半胱氨酸的峰面积显著高于对照组。相反,早发型HDP患者血清中的Munic酸峰面积显著降低。虽然我们确定了预测和诊断早发性HDP的潜在生物标志物,但由于统计功效低,没有确定明确的标志物。
Hypertensive disorders of pregnancy (HDP) lead to the death of approximately 30,000 women annually, and the identification of biomarkers to predict their onset before symptom occurrence is crucial. Here, we aimed to identify the first-trimester maternal serum biomarkers for predicting early-onset HDP via a comprehensive metabolomic analysis. This study was conducted by the Fukushima Regional Center as an adjunct study to the Japan Environment and Children's Study. The study comprised 12 patients with early-onset HDP and 12 control subjects with healthy pregnancy whose medical background information was matched with that of the patients by propensity-score matching. Capillary electrophoresis and mass spectrometry-based quantitative analysis of charged metabolites were performed with the first-trimester maternal serum samples. Welch's t-test was used to analyse metabolite peak areas in the two groups. A total of 166 charged metabolites were identified. The peak area of N-dimethylglycine and S-methylcysteine was significantly higher in the first-trimester serum of patients with early-onset HDP than in the controls. Conversely, the peak area of munic acid was significantly decreased in the serum of patients with early-onset HDP. Although we identified potential biomarkers for the prediction and diagnosis of early-onset HDP, no clear marker was identified because of a low statistical power.