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先天性心脏病合并妊娠母亲的代谢组学特征及后续母体健康状况

Metabolomics Signatures and Subsequent Maternal Health among Mothers with a Congenital Heart Defect-Affected Pregnancy.

作者信息

Hsu Ping-Ching, Maity Suman, Patel Jenil, Lupo Philip J, Nembhard Wendy N

机构信息

Arkansas Center for Birth Defects Research and Prevention, Fay W. Boozman College of Public Health, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA.

Department of Environmental and Occupational Health, Fay W. Boozman College of Public Health, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA.

出版信息

Metabolites. 2022 Jan 21;12(2):100. doi: 10.3390/metabo12020100.

DOI:10.3390/metabo12020100
PMID:35208175
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8877777/
Abstract

Congenital heart defects (CHDs) are the most prevalent and serious of all birth defects in the United States. However, little is known about the impact of CHD-affected pregnancies on subsequent maternal health. Thus, there is a need to characterize the metabolic alterations associated with CHD-affected pregnancies. Fifty-six plasma samples were identified from post-partum women who participated in the National Birth Defects Prevention Study between 1997 and 2011 and had (1) unaffected control offspring (n = 18), (2) offspring with tetralogy of Fallot (ToF, n = 22), or (3) hypoplastic left heart syndrome (HLHS, n = 16) in this pilot study. Absolute concentrations of 408 metabolites using the AbsoluteIDQ p400 HR Kit (Biocrates) were evaluated among case and control mothers. Twenty-six samples were randomly selected from above as technical repeats. Analysis of covariance (ANCOVA) and logistic regression models were used to identify significant metabolites after controlling for the maternal age at delivery and body mass index. The receiver operating characteristic (ROC) curve and area-under-the-curve (AUC) are reported to evaluate the performance of significant metabolites. Overall, there were nine significant metabolites ( < 0.05) identified in HLHS case mothers and 30 significant metabolites in ToF case mothers. Statistically significant metabolites were further evaluated using ROC curve analyses with PC (34:1), two sphingolipids SM (31:1), SM (42:2), and PC-O (40:4) elevated in HLHS cases; while LPC (18:2), two triglycerides: TG (44:1), TG (46:2), and LPC (20:3) decreased in ToF; and cholesterol esters CE (22:6) were elevated among ToF case mothers. The metabolites identified in the study may have profound structural and functional implications involved in cellular signaling and suggest the need for postpartum dietary supplementation among women who gave birth to CHD offspring.

摘要

先天性心脏病(CHD)是美国所有出生缺陷中最普遍且最严重的。然而,关于患先天性心脏病的妊娠对后续孕产妇健康的影响却知之甚少。因此,有必要描述与患先天性心脏病的妊娠相关的代谢改变。从1997年至2011年参与全国出生缺陷预防研究的产后妇女中,识别出56份血浆样本,这些妇女所生子女有以下情况:(1)未受影响的对照后代(n = 18);(2)患有法洛四联症(ToF,n = 22)的后代;或(3)在这项初步研究中患有左心发育不全综合征(HLHS,n = 16)的后代。使用AbsoluteIDQ p400 HR试剂盒(百泰克公司)对病例组和对照组母亲的408种代谢物的绝对浓度进行了评估。从上述样本中随机选取26个作为技术重复样本。在控制分娩时的产妇年龄和体重指数后,使用协方差分析(ANCOVA)和逻辑回归模型来识别显著的代谢物。报告了受试者工作特征(ROC)曲线和曲线下面积(AUC),以评估显著代谢物的性能。总体而言,在HLHS病例母亲中识别出9种显著的代谢物(<0.05),在ToF病例母亲中识别出30种显著的代谢物。使用ROC曲线分析对具有统计学意义的代谢物进行进一步评估,HLHS病例中PC(34:1)、两种鞘脂SM(31:1)、SM(42:2)和PC-O(40:4)升高;而ToF中LPC(18:2)、两种甘油三酯:TG(44:1)、TG(46:2)和LPC(20:3)降低;ToF病例母亲中胆固醇酯CE(22:6)升高。该研究中识别出的代谢物可能在细胞信号传导方面具有深远的结构和功能意义,并表明对于生育先天性心脏病后代的女性,产后需要进行饮食补充。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a3b/8877777/46279763947b/metabolites-12-00100-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a3b/8877777/a38ec6c224e0/metabolites-12-00100-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a3b/8877777/e8ecb9612feb/metabolites-12-00100-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a3b/8877777/9f85d7ee1784/metabolites-12-00100-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a3b/8877777/f7c5682f4668/metabolites-12-00100-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a3b/8877777/133e6c531c77/metabolites-12-00100-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a3b/8877777/7fef51cd962e/metabolites-12-00100-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a3b/8877777/46279763947b/metabolites-12-00100-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a3b/8877777/a38ec6c224e0/metabolites-12-00100-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a3b/8877777/e8ecb9612feb/metabolites-12-00100-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a3b/8877777/9f85d7ee1784/metabolites-12-00100-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a3b/8877777/f7c5682f4668/metabolites-12-00100-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a3b/8877777/133e6c531c77/metabolites-12-00100-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a3b/8877777/7fef51cd962e/metabolites-12-00100-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a3b/8877777/46279763947b/metabolites-12-00100-g007.jpg

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