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Review
. 2023 Nov 4;28(21):7430.
doi: 10.3390/molecules28217430.

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

Affiliations
Review

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

Mingxia Liu et al. Molecules. .

Abstract

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.

Keywords: biomarkers; major depressive disorder; mass spectrometry; metabolomics.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Percentages of reviewed, published studies utilizing various (a) MS-based analytical platforms and (b) metabolomics strategies.

References

    1. Beurel E., Toups M., Nemeroff C.B. The bidirectional relationship of depression and inflammation: Double trouble. Neuron. 2020;107:234–256. doi: 10.1016/j.neuron.2020.06.002. - DOI - PMC - PubMed
    1. World Health Organization Depression. [(accessed on 25 July 2021)]. Available online: https://www.who.int/news-room/fact-sheets/detail/
    1. Marwaha S., Palmer E., Suppes T., Cons E., Young A.H., Upthegrove R. Novel and emerging treatments for major depression. Lancet. 2023;401:141–153. doi: 10.1016/S0140-6736(22)02080-3. - DOI - PubMed
    1. Qiu S., Guo S.F., Yang Q., Xie Y.Q., Tang S.Q., Zhang A.H. Innovation in identifying metabolites from complex metabolome-Highlights of recent analytical platforms and protocols. Front. Chem. 2023;11:1129717. doi: 10.3389/fchem.2023.1129717. - DOI - PMC - PubMed
    1. Fries G.R., Saldana V.A., Finnstein J., Rein T. Molecular pathways of major depressive disorder converge on the synapse. Mol. Psychiatry. 2023;28:284–297. doi: 10.1038/s41380-022-01806-1. - DOI - PMC - PubMed

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