Serum Metabolic Profiling of Late-Pregnant Women With Antenatal Depressive Symptoms

作者全名："Mao, Qiang; Tian, Tian; Chen, Jing; Guo, Xunyi; Zhang, Xueli; Zou, Tao"

作者地址："[Zou, Tao] Acad Forens Sci, Shanghai Key Lab Forens Med, Shanghai, Peoples R China; [Chen, Jing; Zou, Tao] Guizhou Med Univ, Dept Psychiat, Affiliated Hosp, Guiyang, Peoples R China; [Mao, Qiang] Chongqing Med Univ, Dept Pharmacol, Affiliated Hosp 2, Chongqing, Peoples R China; [Tian, Tian] Guizhou Med Univ, Dept Neurol, Affiliated Hosp, Guiyang, Peoples R China; [Guo, Xunyi] Chongqing Med Univ, Dept Neurol, Yongchuan Hosp, Chongqing, Peoples R China; [Zhang, Xueli] Linyi Mental Hlth Ctr, Dept Psychiat, Linyi, Shandong, Peoples R China"

通信作者："Zou, T (corresponding author), Acad Forens Sci, Shanghai Key Lab Forens Med, Shanghai, Peoples R China.; Zou, T (corresponding author), Guizhou Med Univ, Dept Psychiat, Affiliated Hosp, Guiyang, Peoples R China."

来源：FRONTIERS IN PSYCHIATRY

ESI学科分类：PSYCHIATRY/PSYCHOLOGY

WOS号：WOS:000675381700001

JCR分区：Q2

影响因子：4.7

年份：2021

卷号：12

期号：　

开始页：　

结束页：　

文献类型：Article

关键词：antenatal depression; metabolomics; edinburgh postnatal depression scale; biomarker; amino acid metabolism; glycerophospholipid metabolism

摘要："Background: Antenatal depression (AD) is a major public health issue worldwide and lacks objective laboratory-based tests to support its diagnosis. Recently, small metabolic molecules have been found to play a vital role in interpreting the pathogenesis of AD. Thus, non-target metabolomics was conducted in serum. Methods: Liquid chromatography-tandem mass spectrometry-based metabolomics platforms were used to conduct serum metabolic profiling of AD and non-antenatal depression (NAD). Orthogonal partial least squares discriminant analysis, the non-parametric Mann-Whitney U test, and Benjamini-Hochberg correction were used to identify the differential metabolites between AD and NAD groups; Spearman's correlation between the key differential metabolites and Edinburgh Postnatal Depression Scale (EPDS) and the stepwise logistic regression analysis was used to identify potential biomarkers. Results: In total, 79 significant differential metabolites between AD and NAD were identified. These metabolites mainly influence amino acid metabolism and glycerophospholipid metabolism. Then, PC (16:0/16:0) and betaine were significantly positively correlated with EPDS. The simplified biomarker panel consisting of these three metabolites [betaine, PC (16:0/16:0) and succinic acid] has excellent diagnostic performance (95% confidence interval = 0.911-1.000, specificity = 95%, sensitivity = 85%) in discriminating AD and NAD. Conclusion: The results suggested that betaine, PC (16:0/16:0), and succinic acid were potential biomarker panels, which significantly correlated with depression; and it could make for developing an objective method in future to diagnose AD."

基金机构：Open Project Funding of Shanghai Key Laboratory of Forensic Medicine (Academy of Forensic Science) [KF1810]; Science and Technology Fund of Guizhou Province [[2015] 7411]

基金资助正文："This work was supported by the Open Project Funding of Shanghai Key Laboratory of Forensic Medicine (Academy of Forensic Science, KF1810) and Science and Technology Fund of Guizhou Province (Qian Ke He LH [2015] 7411)."