ArticleMetabolic brain disease2022
Peripheral blood and urine metabolites and biological functions in post-stroke depression.
Article in Metabolic brain disease, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Sex as a biological variable in determining the metabolic changes influencing acute ischemic stroke outcomes-Where is the data: A systematic review.Frontiers in neurology · 2022Pooled it
- Impact of Glycemic Trajectory and Variability on Ischemic Stroke Prognosis and Exploration of Its Mechanisms: A Comprehensive Review.Healthcare (Basel, Switzerland) · 2026Review
- Insights into the interplay between stroke and depression through lipid metabolism-related diagnostic genes.Molecular brain · 2026Article
- The Role of Gut Bacteria and Plasma Metabolites in Predicting Post-Stroke Depression in Patients with Acute Ischemic Stroke.Current neuropharmacology · 2026Article
- Immunometabolic and brain structural alterations mediate increased risk of brain diseases in rheumatoid arthritis patients.Translational psychiatry · 2025Article
- Oral microbiome composition is associated with depressive symptoms during pregnancy.Brain, behavior, & immunity - health · 2025Article
- Prevalence and Predictive factors of Post-Stroke Depression in Patients with Acute Cerebral Infarction.Alpha psychiatry · 2024Article
- Metabolomic discoveries for early diagnosis and traditional Chinese medicine efficacy in ischemic stroke.Biomarker research · 2024Review
- Unraveling Metabolic Changes following Stroke: Insights from a Urinary Metabolomics Analysis.Metabolites · 2024Article
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Authors and funding
5 authors.
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Abstract
Post-stroke depression (PSD) is the most common and severe neuropsychiatric complication after stroke. However, the molecular mechanism of PSD is still unclear. Previous studies have identified peripheral blood and urine metabolites associated with PSD using metabolomics techniques. We searched and systematically summarized metabolites that may be involved in metabolic changes in peripheral blood and urine of patients with PSD from the Metabolite Network of Depression Database (MENDA) and other biomedical databases. MetaboAnalyst5.0 software was used for pathway analysis and enrichment analysis of differential metabolites, and subgroup analyses were performed according to tissue types and metabolomics techniques. We identified 47 metabolites that were differentially expressed between patients with and without PSD. Five differential metabolites were found in both plasma and urine, including L-glutamic acid, pyroglutamic acid, palmitic acid, L-phenylalanine, and L-tyrosine. We integrated these metabolites into metabolic pathways, and six pathways were significantly altered. These pathways could be roughly divided into three modules including amino acid metabolism, nucleotide metabolism, and glucose metabolism. Among them, the most significantly altered pathway was "phenylalanine metabolism" and the pathway containing the most associated metabolites was "aminoacyl-tRNA biosynthesis", which deserve further study to elucidate their role in the molecular mechanism of PSD. In summary, metabolic changes in peripheral blood and urine are associated with PSD, especially the disruption of "phenylalanine metabolism" and "aminoacyl-tRNA biosynthesis" pathways. This study provides clues to the metabolic characteristics of patients with PSD, which may help to elucidate the molecular pathogenesis of PSD.
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