ArticleTranslational psychiatry2024
Identifying plasma metabolic characteristics of major depressive disorder, bipolar disorder, and schizophrenia in adolescents.
Article in Translational psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.
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Who cites it
24 citing papers in PubMed, 2 syntheses or guidelines pooled it, 31 citations in OpenAlex.
- Metabolomics in stress-related disorders: a systematic review and bioinformatics analysis.Naunyn-Schmiedeberg's archives of pharmacology · 2026Pooled it
- Discovery of biological markers for schizophrenia based on metabolomics: a systematic review.Frontiers in psychiatry · 2025Pooled it
- Integrative multi-omics reveals MHC class II-mediated neuroinflammation and systemic metabolic dysregulation as transdiagnostic drivers in major brain disorders.Translational psychiatry · 2026Article
- Peripheral biochemical parameters for discrimination between bipolar disorder and major depressive disorder in female patients of reproductive age: a CRP-stratified exploratory study.BMC psychiatry · 2026Article
- Comprehensive analysis of interactions between brain aging and late-onset psychoses using heuristic mapping models.Communications medicine · 2026Article
- Plasma metabolomics and red blood cell fatty acid profiles in adolescent mental health.Comprehensive psychoneuroendocrinology · 2026Article
- Screening for peripheral blood biomarkers and construction of a diagnostic model for adolescent depression based on metabolomics and machine learning.BMC psychiatry · 2026Article
- Machine learning-based predictive models and subtypes patterns in peripheral blood of schizophrenia based on a machine learning computational framework.Schizophrenia (Heidelberg, Germany) · 2026Article
- A multi-omics analysis of gut bacteriome, virome, and serum metabolome in bipolar depression.Npj mental health research · 2026Article
- UntargetedTranslational psychiatry · 2026Article
- Metabolic profiling in major depressive disorder with high psychological resilience: changes in amino acid and carbohydrate metabolism.BMC psychiatry · 2026Article
- Metabolomics biomarkers for precision psychiatry.Frontiers in psychiatry · 2026Review
- Alterations in serum IL-10 and IL-19 levels in drug-naïve first-episode adolescent-onset schizophrenia and their associations with clinical symptoms.Schizophrenia (Heidelberg, Germany) · 2025Article
- Oligodendrocyte lineage cells dysfunction in depression: early life stress, adolescent vulnerability and the emerging role of lipid metabolism.Translational psychiatry · 2025Review
- Altered tyrosine metabolism and B lymphocyte profiles are associated with disease severity in pediatric anti-NMDAR encephalitis: a cross-sectional study.European journal of pediatrics · 2025Article
- Natural lithium isotope variations in serum after lithium administration as a novel biomarker for differentiating schizophrenia and bipolar disorder.Translational psychiatry · 2025Article
- Blood Plasma Lipid Alterations Differentiating Psychotic and Affective Disorder Patients.Biomolecules · 2025Article
- Plasma Metabolic and Inflammatory Protein Signatures in Psychiatric Disorders.International journal of molecular sciences · 2025Article
- Effects of maternal isolated oligohydramnios on blood metabolic profile in term neonates: a retrospective observational study.BMC pregnancy and childbirth · 2025Observational
- Associations of Ultra-Processed Food Intake and Its Circulating Metabolomic Signature with Mental Disorders in Middle-Aged and Older Adults.Nutrients · 2025Article
Corrections and comments
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Authors and funding
13 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Major depressive disorder (MDD), bipolar disorder (BD), and schizophrenia (SCZ) are classified as major mental disorders and together account for the second-highest global disease burden, and half of these patients experience symptom onset in adolescence. Several studies have reported both similar and unique features regarding the risk factors and clinical symptoms of these three disorders. However, it is still unclear whether these disorders have similar or unique metabolic characteristics in adolescents. We conducted a metabolomics analysis of plasma samples from adolescent healthy controls (HCs) and patients with MDD, BD, and SCZ. We identified differentially expressed metabolites between patients and HCs. Based on the differentially expressed metabolites, correlation analysis, metabolic pathway analysis, and potential diagnostic biomarker identification were conducted for disorders and HCs. Our results showed significant changes in plasma metabolism between patients with these mental disorders and HCs; the most distinct changes were observed in SCZ patients. Moreover, the metabolic differences in BD patients shared features with those in both MDD and SCZ, although the BD metabolic profile was closer to that of MDD than to SCZ. Additionally, we identified the metabolites responsible for the similar and unique metabolic characteristics in multiple metabolic pathways. The similar significant differences among the three disorders were found in fatty acid, steroid-hormone, purine, nicotinate, glutamate, tryptophan, arginine, and proline metabolism. Interestingly, we found unique characteristics of significantly altered glycolysis, glycerophospholipid, and sphingolipid metabolism in SCZ; lysine, cysteine, and methionine metabolism in MDD and BD; and phenylalanine, tyrosine, and aspartate metabolism in SCZ and BD. Finally, we identified five panels of potential diagnostic biomarkers for MDD-HC, BD-HC, SCZ-HC, MDD-SCZ, and BD-SCZ comparisons. Our findings suggest that metabolic characteristics in plasma vary across psychiatric disorders and that critical metabolites provide new clues regarding molecular mechanisms in these three psychiatric disorders.
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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.