ArticlePsychiatry investigation2023
Identification of Plasma Biomarkers in Drug-Naïve Schizophrenia Using Targeted Metabolomics.
Article in Psychiatry investigation, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.
- Discovery of biological markers for schizophrenia based on metabolomics: a systematic review.Frontiers in psychiatry · 2025Pooled it
- Multi-Omic Insight Into the Molecular Networks of Mitochondrial Dysfunction in the Pathogenesis of Schizophrenia.Schizophrenia bulletin · 2026Article
- Plasma metabolomics and red blood cell fatty acid profiles in adolescent mental health.Comprehensive psychoneuroendocrinology · 2026Article
- The Pathobiological Underpinnings of Psychosis: From the Stress-Related Hypothesis to a Multisystemic Approach.NeuroSci · 2025Review
- Peripheral Lipid Signatures, Metabolic Dysfunction, and Pathophysiology in Schizophrenia Spectrum Disorders.Metabolites · 2024Review
- Extended range proteomic analysis of blood plasma from schizophrenia patients.Frontiers in molecular biosciences · 2024Article
- MS analysis of the plasma metabolome reveals major changes of amino acid and energy metabolism for early-onset schizophrenia.American journal of translational research · 2024Article
- Unveiling the gut microbiota blueprint of schizophrenia: a multilevel omics approach.Frontiers in psychiatry · 2024Article
Corrections and comments
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Authors and funding
10 authors at 1 institution in 1 country.
Funding
Abstract
objectiveSchizophrenia (SCZ) is a severe psychiatric disorder with unknown etiology and lacking specific biomarkers. Herein, we aimed to explore plasma biomarkers relevant to SCZ using targeted metabolomics.
methodsSixty drug-naïve SCZ patients and 36 healthy controls were recruited. Psychotic symptoms were assessed using the Positive and Negative Syndrome Scale. We analyzed the levels of 271 metabolites in plasma samples from all subjects using targeted metabolomics, and identified metabolites that differed significantly between the two groups. Then we evaluated the diagnostic power of the metabolites based on receiver operating characteristic curves, and explored metabolites associated with the psychotic symptoms in SCZ patients.
resultsTwenty-six metabolites showed significant differences between SCZ patients and healthy controls. Among them, 12 metabolites were phosphatidylcholines and cortisol, ceramide (d18:1/22:0), acetylcarnitine, and γ-aminobutyric acid, which could significantly distinguish SCZ from healthy controls with the area under the curve (AUC) above 0.7. Further, a panel consisting of the above 4 metabolites had an excellent performance with an AUC of 0.867. In SCZ patients, phosphatidylcholines were positively related with positive symptoms, and cholic acid was positively associated with negative symptoms.
conclusionOur study provides insights into the metabolite alterations associated with SCZ and potential biomarkers for its diagnosis and symptom severity assessment.
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