Serum Metabolic Profiling of Late-Pregnant Women With Antenatal Depressive Symptoms
Bibliographic Data
| ID | 15528600 |
|---|---|
| Authors | Qiang Mao (0000-0001-5645-2362, Dalian Medical University), Tian Tian (0000-0001-8436-7739, Affiliated Hospital of Guizhou Medical University), Jing Chen (0000-0002-7243-0806, Affiliated Hospital of Guizhou Medical University), Xunyi Guo (Chongqing Medical University), Xueli Zhang (0000-0001-5963-9261), Tao Zou (0000-0001-7030-3603, Institute of Forensic Science, corresponding author) |
| Year | 2021 |
| Volume | 12 |
| Pages | 679451-679451 |
| Publication date | 2021-07-08 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Frontiers in Psychiatry (JOURNAL) |
| Journal identifiers | ISSN: 1664-0640 • E-ISSN: 1664-0640 |
| Publisher | Frontiers Media (PUBLISHER • CH) |
| DOI | 10.3389/fpsyt.2021.679451 |
| PMID | 34305679 |
| OpenAlex | W3179081623 |
| Language | EN |
| References cited | 65 |
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
Betaine · Bioinformatics · Biology · Biomarker · Metabolomics · Birth, Development, and Health · Chemistry · Folate and B Vitamins Research · Maternal Mental Health During Pregnancy and Postpartum · Medicine · Biochemistry · Internal Medicine
| Citation velocity | historical |
|---|---|
| Highly cited | No |