Recent Progress in Mass Spectrometry-Based Metabolomics in Major Depressive Disorder Research

被引:6
作者
Liu, Mingxia [1 ,2 ]
Ma, Wen [3 ]
He, Yi [1 ,2 ]
Sun, Zuoli [1 ,2 ]
Yang, Jian [1 ,2 ]
机构
[1] Capital Med Univ, Beijing Anding Hosp, Natl Clin Res Ctr Mental Disorders, Natl Ctr Mental Disorders,Beijing Key Lab Mental D, Beijing 100088, Peoples R China
[2] Capital Med Univ, Adv Innovat Ctr Human Brain Protect, Beijing 100069, Peoples R China
[3] Peking Univ, Sch Pharmaceut Sci, State Key Lab Nat & Biomimet Drugs, Beijing 100191, Peoples R China
基金
中国国家自然科学基金;
关键词
major depressive disorder; mass spectrometry; metabolomics; biomarkers; POSTSTROKE DEPRESSION; MAGNETIC-RESONANCE; GUT MICROBIOME; METABOLITES;
D O I
10.3390/molecules28217430
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Major depressive disorder (MDD) is a serious mental illness with a heavy social burden, but its underlying molecular mechanisms remain unclear. Mass spectrometry (MS)-based metabolomics is providing new insights into the heterogeneous pathophysiology, diagnosis, treatment, and prognosis of MDD by revealing multi-parametric biomarker signatures at the metabolite level. In this comprehensive review, recent developments of MS-based metabolomics in MDD research are summarized from the perspective of analytical platforms (liquid chromatography-MS, gas chromatography-MS, supercritical fluid chromatography-MS, etc.), strategies (untargeted, targeted, and pseudotargeted metabolomics), key metabolite changes (monoamine neurotransmitters, amino acids, lipids, etc.), and antidepressant treatments (both western and traditional Chinese medicines). Depression sub-phenotypes, comorbid depression, and multi-omics approaches are also highlighted to stimulate further advances in MS-based metabolomics in the field of MDD research.
引用
收藏
页数:22
相关论文
共 166 条
[31]   Breathomics profiling of metabolic pathways affected by major depression: Possibilities and limitations [J].
Gbaoui, Laila ;
Fachet, Melanie ;
Lueno, Marian ;
Meyer-Lotz, Gabriele ;
Frodl, Thomas ;
Hoeschen, Christoph .
FRONTIERS IN PSYCHIATRY, 2022, 13
[32]   Berberine ameliorates depression-like behavior in CUMS mice by activating TPH1 and inhibiting IDO1-associated with tryptophan metabolism [J].
Ge, Ping-Yuan ;
Qu, Shu-Yue ;
Ni, Sai-jia ;
Yao, Zeng-Ying ;
Qi, Yi-Yu ;
Zhao, Xin ;
Guo, Rui ;
Yang, Nian-Yun ;
Zhang, Qi-Chun ;
Zhu, Hua-Xu .
PHYTOTHERAPY RESEARCH, 2023, 37 (01) :342-357
[33]   Systematic impacts of chronic unpredictable mild stress on metabolomics in rats [J].
Geng, Chunmei ;
Guo, Yujin ;
Wang, Changshui ;
Liao, Dehua ;
Han, Wenxiu ;
Zhang, Jing ;
Jiang, Pei .
SCIENTIFIC REPORTS, 2020, 10 (01)
[34]   Altered Fecal Metabolites and Colonic Glycerophospholipids Were Associated With Abnormal Composition of Gut Microbiota in a Depression Model of Mice [J].
Gong, Xue ;
Huang, Cheng ;
Yang, Xun ;
Chen, Jianjun ;
Pu, Juncai ;
He, Yong ;
Xie, Peng .
FRONTIERS IN NEUROSCIENCE, 2021, 15
[35]   Network science approach elucidates integrative genomic-metabolomic signature of antidepressant response and lifetime history of attempted suicide in adults with major depressive disorder [J].
Grant, Caroline W. ;
Wilton, Angelina R. ;
Kaddurah-Daouk, Rima ;
Skime, Michelle ;
Biernacka, Joanna ;
Mayes, Taryn ;
Carmody, Thomas ;
Wang, Liewei ;
Lazaridis, Konstantinos ;
Weinshilboum, Richard ;
Bobo, William V. ;
Trivedi, Madhukar H. ;
Croarkin, Paul E. ;
Athreya, Arjun P. .
FRONTIERS IN PHARMACOLOGY, 2022, 13
[36]   Multi-Omics Characterization of Early- and Adult-Onset Major Depressive Disorder [J].
Grant, Caroline W. ;
Barreto, Erin F. ;
Kumar, Rakesh ;
Kaddurah-Daouk, Rima ;
Skime, Michelle ;
Mayes, Taryn ;
Carmody, Thomas ;
Biernacka, Joanna ;
Wang, Liewei ;
Weinshilboum, Richard ;
Trivedi, Madhukar H. ;
Bobo, William, V ;
Croarkin, Paul E. ;
Athreya, Arjun P. .
JOURNAL OF PERSONALIZED MEDICINE, 2022, 12 (03)
[37]   Develop a stepwise integrated method to screen biomarkers of Baihe-Dihuang Tang on the treatment of depression in rats applying with composition screened, untargeted, and targeted metabolomics analysis [J].
Gu, Shuo ;
Mou, Tingting ;
Chen, Jian ;
Wang, Jing ;
Zhang, Ying ;
Cui, Meirong ;
Hao, Wenqian ;
Sun, Yue ;
Zhang, Chengqin ;
Zhao, Tiantian ;
Wei, Binbin .
JOURNAL OF SEPARATION SCIENCE, 2022, 45 (10) :1656-1671
[38]   Integrated network pharmacology and hepatic metabolomics to reveal the mechanism of Acanthopanax senticosus against major depressive disorder [J].
Gu, Xinyi ;
Zhang, Guanying ;
Wang, Qixue ;
Song, Jing ;
Li, Ying ;
Xia, Chenyi ;
Zhang, Ting ;
Yang, Li ;
Sun, Jijia ;
Zhou, Mingmei .
FRONTIERS IN CELL AND DEVELOPMENTAL BIOLOGY, 2022, 10
[39]   Energy metabolism in major depressive disorder: Recent advances from omics technologies and imaging [J].
Gu, Xinyi ;
Ke, Shuang ;
Wang, Qixue ;
Zhuang, Tongxi ;
Xia, Chenyi ;
Xu, Ying ;
Yang, Li ;
Zhou, Mingmei .
BIOMEDICINE & PHARMACOTHERAPY, 2021, 141
[40]   Emerging application of metabolomics on Chinese herbal medicine for depressive disorder [J].
Gu, Xinyi ;
Gao, Xingyuan ;
Cheng, Jieyi ;
Xia, Chenyi ;
Xu, Ying ;
Yang, Li ;
Zhou, Mingmei .
BIOMEDICINE & PHARMACOTHERAPY, 2021, 141