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早发型妊娠期高血压疾病的血清综合代谢组学分析鉴定出生物标志物。

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

机构信息

Department of Obstetrics and Gynecology, School of Medicine, Fukushima Medical University, 1 Hikarigaoka, Fukushima, 960-1295, Japan.

Fukushima Regional Center for the Japan Environmental and Children's Study, 1, Hikarigaoka, Fukushima, 960-1295, Japan.

出版信息

Sci Rep. 2020 Aug 17;10(1):13857. doi: 10.1038/s41598-020-70974-3.

DOI:10.1038/s41598-020-70974-3
PMID:32807817
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7431422/
Abstract

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.

摘要

妊娠高血压疾病(HDP)每年导致约 30000 名妇女死亡,因此识别能够在症状出现前预测其发病的生物标志物至关重要。本研究通过全面的代谢组学分析,旨在寻找预测早发型 HDP 的孕早期母血清生物标志物。该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。该研究纳入了 12 例早发型 HDP 患者和 12 例健康妊娠对照者,通过倾向评分匹配使两组的医学背景信息相匹配。使用毛细管电泳和基于质谱的定量分析方法对孕早期母血清样本中的带电荷代谢物进行分析。采用 Welch's t 检验对两组代谢物峰面积进行分析。共鉴定出 166 种带电荷代谢物。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明显高于对照组。相反,早发型 HDP 患者血清中肌酸的峰面积明显降低。尽管我们发现了一些预测和诊断早发型 HDP 的潜在生物标志物,但由于统计效能较低,因此没有明确的标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49a9/7431422/a3e39f373fd9/41598_2020_70974_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49a9/7431422/e117e97b6847/41598_2020_70974_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49a9/7431422/a3e39f373fd9/41598_2020_70974_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49a9/7431422/e117e97b6847/41598_2020_70974_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49a9/7431422/a3e39f373fd9/41598_2020_70974_Fig2_HTML.jpg

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本文引用的文献

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Choline and its metabolites are differently associated with cardiometabolic risk factors, history of cardiovascular disease, and MRI-documented cerebrovascular disease in older adults.胆碱及其代谢产物与老年人的心脏代谢危险因素、心血管疾病史以及磁共振成像记录的脑血管疾病存在不同程度的关联。
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孕早期血清的非靶向代谢组学研究表明,与体重指数相关的代谢紊乱与高血压疾病的发生有关:一项发现性研究。
Front Nutr. 2023 Jul 17;10:1144131. doi: 10.3389/fnut.2023.1144131. eCollection 2023.
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Hypertensive disorders of pregnancy: definition, management, and out-of-office blood pressure measurement.妊娠高血压疾病:定义、管理和非诊室血压测量。
Hypertens Res. 2022 Aug;45(8):1298-1309. doi: 10.1038/s41440-022-00965-6. Epub 2022 Jun 20.
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Adverse obstetric outcomes in early-diagnosed gestational diabetes mellitus: The Japan Environment and Children's Study.早发型妊娠期糖尿病的不良产科结局:日本环境与儿童研究。
J Diabetes Investig. 2021 Nov;12(11):2071-2079. doi: 10.1111/jdi.13569. Epub 2021 Jun 9.
6
Immunoglobulin E levels and pregnancy-induced hypertension: Japan Environment and Children's Study.免疫球蛋白 E 水平与妊娠高血压:日本环境与儿童健康研究。
Sci Rep. 2021 Apr 21;11(1):8664. doi: 10.1038/s41598-021-88227-2.
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Prediction of preeclampsia risk in first time pregnant women: Metabolite biomarkers for a clinical test.预测初产妇子痫前期风险:用于临床检测的代谢生物标志物。
PLoS One. 2020 Dec 28;15(12):e0244369. doi: 10.1371/journal.pone.0244369. eCollection 2020.