ReviewMolecules (Basel, Switzerland)2023
Recent Progress in Mass Spectrometry-Based Metabolomics in Major Depressive Disorder Research.
Review in Molecules (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed.
- Antioxidant and Anti-Inflammatory Effects of InhaledPlants (Basel, Switzerland) · 2026Article
- Amino Acid-Fatty Acid Profile as a Novel Predictive Method in the Assessment of Diagnosis and Treatment Efficacy of Anxiety-Related Disorders and Mood Disorders.International journal of molecular sciences · 2026Review
- Optimization of potential targets for antidepressant Chinese medicines: AI and multi-omics methods.Chinese medicine · 2026Review
- Metabolomics biomarkers for precision psychiatry.Frontiers in psychiatry · 2026Review
- Integrative Analysis of Metabolomic and Transcriptomic Data Reveals Metabolic Signatures and Major Metabolic Pathways in Primary AldosteronismEndocrine, metabolic & immune disorders drug targets · 2026Article
- Lipidomic analyses reveal the dysregulation of oxidized fatty acids (OxFAs) and acyl-carnitines (CARs) in major depressive disorder: a case-control study.BMC psychiatry · 2025Article
- Correlation analysis between clinical effective emotional treatment and plasma N-methyl-D-aspartate receptor function-related indexes.Frontiers in neuroscience · 2025Article
- Toward molecular diagnosis of major depressive disorder by plasma peptides using a deep learning approach.Briefings in bioinformatics · 2024Article
- AMP-Activated Protein Kinase Treatment Ameliorates Chronic Restraint Stress Induced Memory Impairment in Early Adolescent Rat by Restoring Metabolite Profile and Synaptic Proteins.Neurochemical research · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
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.
Indexed as
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.