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妊娠期高血压疾病期间及之后的代谢组学特征:EPOCH研究

Metabolomic Profiles During and After a Hypertensive Disorder of Pregnancy: The EPOCH Study.

作者信息

Hlatky Mark A, Shu Chi-Hung, Bararpour Nasim, Murphy Brenna M, Sorondo Sabina M, Leeper Nicholas J, Wong Frank, Stevenson David K, Shaw Gary M, Stefanick Marcia L, Boyd Heather A, Melbye Mads, Sedan Oshra, Wong Ronald J, Snyder Michael P, Aghaeepour Nima, Winn Virginia D

机构信息

Department of Health Policy, Stanford University School of Medicine, Stanford, CA 94305, USA.

Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA.

出版信息

Int J Mol Sci. 2025 Jun 26;26(13):6150. doi: 10.3390/ijms26136150.

Abstract

Hypertensive disorders of pregnancy are associated with a higher risk of later cardiovascular disease, but the mechanistic links are unknown. We recruited two groups of women, one during pregnancy and another at least two years after delivery, including both cases (with a hypertensive disorder of pregnancy) and controls (with a normotensive pregnancy). We measured metabolites using liquid chromatography-mass spectroscopy and applied machine learning to identify metabolomic signatures at three time points: antepartum, postpartum, and mid-life. The mean ages of the pregnancy cohort (58 cases, 46 controls) and the mid-life group (71 cases, 74 controls) were 33.8 and 40.8 years, respectively. The levels of 157 metabolites differed significantly between the cases and the controls antepartum, including 19 acylcarnitines, 12 gonadal steroids, 11 glycerophospholipids, nine fatty acids, six vitamin D metabolites, and four corticosteroids. The machine learning model developed using all antepartum metabolite levels discriminated well between the cases and the controls antepartum (c-index = 0.96), postpartum (c-index = 0.63), and in mid-life (c-index = 0.60). Levels of 10,20-dihydroxyeicosanoic acid best distinguished the cases from the controls both antepartum and postpartum. These data suggest that the pattern of differences in metabolites found antepartum continues to distinguish women who had a hypertensive disorder of pregnancy from women with a normotensive pregnancy for years after delivery.

摘要

妊娠高血压疾病与日后患心血管疾病的风险较高相关,但其中的机制联系尚不清楚。我们招募了两组女性,一组在孕期,另一组在产后至少两年,其中包括病例组(患有妊娠高血压疾病)和对照组(血压正常的妊娠)。我们使用液相色谱 - 质谱法测量代谢物,并应用机器学习来识别三个时间点的代谢组学特征:产前、产后和中年期。孕期队列(58例病例,46例对照)和中年组(71例病例,74例对照)的平均年龄分别为33.8岁和40.8岁。产前病例组和对照组之间有157种代谢物水平存在显著差异,包括19种酰基肉碱类、12种性腺类固醇、11种甘油磷脂、9种脂肪酸、6种维生素D代谢物和4种皮质类固醇。使用所有产前代谢物水平建立的机器学习模型在产前(c指数 = 0.96)、产后(c指数 = 0.63)和中年期(c指数 = 0.60)对病例组和对照组有很好的区分能力。10,20 - 二羟基二十烷酸的水平在产前和产后最能区分病例组和对照组。这些数据表明,产前发现的代谢物差异模式在产后多年仍能将患有妊娠高血压疾病的女性与血压正常妊娠的女性区分开来。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a6c2/12250391/22a996771a0c/ijms-26-06150-g001.jpg

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