ArticleMetabolic brain disease2025
Transformations in plasma metabolic profiles of patients with major depression disorder during treatment.
Article in Metabolic brain disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
Major depression disorder (MDD) is a mental condition that significantly threatens both physical and psychological health. This study aimed to discern variances in plasma metabolic profiles between MDD sufferers and healthy counterparts. Additionally, we tracked the hospitalization journey of MDD patients to investigate the normalization of metabolic irregularities through conventional treatment in the form of self-control. Ultra-Performance Liquid Chromatography - Mass Spectrometry was employed to analyze the metabolic profiles of 47 plasma samples, including 12 controls and 12 MDD patients at three distinct clinical stages (untreated baseline, 1-month post-treatment, and 2-month post-treatment). Multivariate statistical analysis and K-means clustering were executed to pinpoint significantly different metabolites between the groups and specific metabolites showing an ideal trend of variation. Subsequently, these metabolites were mapped onto Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways to preliminarily explore the potential mechanism of metabolic shifts in MDD. We identified 14 significantly different metabolites between MDD patients and controls. Among these, the relative levels of 9-hydroperoxy octadecadienoic acid, imidazoleacetic acid, thromboxane B2, and arachidonic acid displayed a regular trend of variation post-treatment. Further integration analysis yielded a novel metabolite-pathway network comprising these 4 specific metabolites and 8 pathways. These findings suggest that transitions in metabolic pathways during the onset and treatment of MDD are primarily governed by lipid metabolism and its associated signaling pathway system, with the involvement of histidine metabolism. The identified metabolites hold promise for diagnosing and evaluating the therapeutic efficacy of MDD, and provide a foundation for future research into the potential mechanisms underlying MDD.
Indexed as
Identifiers
40928689What 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.