ArticleEuropean archives of psychiatry and clinical neuroscience2026
Untargeted plasma metabolomics identifies metabolite signatures associated with suicidality status in chronic schizophrenia.
Article in European archives of psychiatry and clinical neuroscience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
background and hypothesisSuicide contributes substantially to mortality in schizophrenia, yet metabolic signatures associated with suicidality remain poorly understood. We applied untargeted plasma metabolomics with multivariate modeling to identify plasma metabolic signatures associated with suicidality status and clinical features. STUDY
designWe enrolled 146 frequency-matched psychiatric inpatients with chronic schizophrenia: 73 in the suicide-risk (SR) group, defined by current suicidal ideation or suicidal behavior/attempt history at admission, and 73 in the non-suicide-risk (NSR) group. Plasma samples underwent untargeted metabolomic profiling. Discriminating metabolites were identified using orthogonal partial least squares discriminant analysis (OPLS-DA) and Benjamini-Hochberg-adjusted Mann-Whitney U testing (variable importance in projection [VIP] >1.0 and adjusted p <0.05). Stepwise logistic regression with forced clinical covariates generated an exploratory metabolite-based classification model, and Spearman correlations examined associations with Positive and Negative Syndrome Scale (PANSS) and Repeatable Battery for the Assessment of Neuropsychological Status (RBANS) scores. STUDY
resultsOPLS-DA identified 70 discriminating metabolites (R
conclusionsPlasma metabolic differences involving sphingolipid, lysine/carnitine, neuroinflammatory, amino-acid, and glutathione-related pathways were associated with suicidality status in chronic schizophrenia. These exploratory cross-sectional findings require validation in larger longitudinal cohorts using dedicated suicidality assessments.
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