Exploration for biomarkers of postpartum depression based on metabolomics: A systematic review.

Shiming Li, Zhuoqiao Yang, Mengxin Yao, Ying Shen, Haohao Zhu, Ying Jiang, Yingying Ji, Jieyun Yin

Journal: Journal of affective disorders 2022;317():298-306

PMID: 36031003

Full Text on Elsevier Science View on PubMed

Abstract

BACKGROUND

Postpartum depression (PPD) is the most frequent psychiatric complication during the postnatal period and its mechanisms are not fully understood. Metabolomics, can quantitatively measure metabolites in a high-throughput method, and thus uncover the underlying pathophysiology of disease.

OBJECTIVES

In this study, we reviewed metabolomics studies conducted on PPD, aiming to understand the changes of metabolites in PPD patients and analyze the potential application of metabolomics in PPD prediction and diagnosis.

METHODS

Relevant articles were searched in PubMed, Google scholar, and Web of Science databases from January 2011 to July 2022. The metabolites involved were systematically examined and compared. MetaboAnalyst online software was applied to analyze metabolic pathways.

RESULTS

A total of 14 papers were included in this study. There were several highly reported metabolites, such as kynurenine, kynurenic acid, and eicosapentaenoic acid. Dysregulation of metabolic pathways involved amino acids metabolism, fatty acids metabolism, and steroids metabolism.

LIMITATIONS

The included studies are relatively inadequate, and further work is needed.

CONCLUSIONS

This study summarized significant metabolic alterations that provided clues for the prediction, diagnosis, and pathogenesis of PPD.

Address: The affiliated Wuxi Mental Health Center with Nanjing Medical University, Wuxi Tongren Rehabilitation Hospital, Wuxi, Jiangsu 214151, China.; Department Of Epidemiology and Health Statistics, Medical College of Soochow University, Suzhou, China.; Rehabilitation Medicine Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.; The affiliated Wuxi Mental Health Center with Nanjing Medical University, Wuxi Tongren Rehabilitation Hospital, Wuxi, Jiangsu 214151, China. Electronic address: [email protected].; Department Of Epidemiology and Health Statistics, Medical College of Soochow University, Suzhou, China. Electronic address: [email protected].

DOI: 10.1016/j.jad.2022.08.043

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MeSH Terms: Biomarkers, Depression, Postpartum, Eicosapentaenoic Acid, Female, Humans, Kynurenic Acid, Kynurenine, Metabolomics, Postpartum Period, Steroids