ArticleBMC psychiatry2020
Dysregulation of amino acids and lipids metabolism in schizophrenia with violence.
Article in BMC psychiatry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 3 of them syntheses that pooled it.
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Who cites it
20 citing papers in PubMed, 3 syntheses or guidelines pooled it, 40 citations in OpenAlex.
- Discovery of biological markers for schizophrenia based on metabolomics: a systematic review.Frontiers in psychiatry · 2025Pooled it
- Machine Learning for prediction of violent behaviors in schizophrenia spectrum disorders: a systematic review.Frontiers in psychiatry · 2024Pooled it
- Peripheral Blood-Based Gene Expression Studies in Schizophrenia: A Systematic Review.Frontiers in genetics · 2021Pooled it
- Gut microbial signatures in schizophrenia: exploring archaea, fungi, and bacteria.BMC psychiatry · 2026Article
- Challenging the prescientific frameworks of criminal justice: neurobiology and criminolytic interventions in the legalome era.Frontiers in psychology · 2026Review
- Predicting Physical Aggression among Schizophrenia Patients in Rural Communities of Southwestern China.Alpha psychiatry · 2025Article
- Revealing the Oxidative Stress-Related Molecular Characteristics and Potential Therapeutic Targets of Schizophrenia through Integrated Gene Expression Data Analysis.Molecular neurobiology · 2025Article
- Metabolic pathway modulation by olanzapine: Multitarget approach for treating violent aggression in patients with schizophrenia.World journal of psychiatry · 2025Article
- Construction of a troublemaking risk assessment tool for patients with severe mental disorders in community of China.Scientific reports · 2025Article
- Altered gut microbiota and systemic immunity in Chinese patients with schizophrenia comorbid with metabolic syndrome.Journal of translational medicine · 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
- Integrative Multi-omics Analysis of Childhood Aggressive Behavior.Behavior genetics · 2023Article
- Experiences and Perspectives of GC-MS Application for the Search of Low Molecular Weight Discriminants of Schizophrenia.Molecules (Basel, Switzerland) · 2022Review
- Aggression in Women with Schizophrenia Is Associated with Lower HDL Cholesterol Levels.International journal of molecular sciences · 2022Article
- Multi-omics of human plasma reveals molecular features of dysregulated inflammation and accelerated aging in schizophrenia.Molecular psychiatry · 2022Article
- Serum metabolic signatures of schizophrenia patients complicated with hepatitis B virus infection: AFrontiers in psychiatry · 2022Article
- Applications of machine learning in metabolomics: Disease modeling and classification.Frontiers in genetics · 2022Review
- Traditional Tibetan Medicine Twenty-Five Wei'er Tea Pills Ameliorate Rheumatoid Arthritis Based on Chemical Crosstalk Between Gut Microbiota and the Host.Frontiers in pharmacology · 2022Article
- Ketone body 3-hydroxybutyrate as a biomarker of aggression.Scientific reports · 2021Article
- Interplay of Nutrition and Psychoneuroendocrineimmune Modulation: Relevance for COVID-19 in BRICS Nations.Frontiers in microbiology · 2021Review
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundMany studies have related biochemical characteristics to violence and have reported schizophrenia could elevated the risk of violent behaviour. However, the metabolic characteristics of schizophrenia patients with violence (V.SC) are unclear.
methodsTo explore the metabolic characteristics of schizophrenia with violence and to identify potential biomarkers, untargeted metabolomics was performed by using gas chromatography time-of-flight mass spectrometry to analyse the plasma metabolites of fifty-three V.SC and twenty-four schizophrenia patients without violence (NV.SC). Multivariate and univariate analyses were performed to identify differential metabolites and biomarkers. Violence was assessed by the MacArthur Violence Assessment Study method. Psychiatric symptoms were assessed by the Positive and Negative Syndrome Scale.
resultsMultivariate analysis was unable to distinguish V.SC from NV.SC. Glycerolipid metabolism and phenylalanine, tyrosine and tryptophan biosynthesis were the differential metabolic pathways between V.SC and NV.SC. We confirmed ten metabolites and five metabolites as metabolic biomarkers of V.SC by random forest and support vector machine analysis, respectively. The biomarker panel, including the ratio of L-asparagine to L-aspartic acid, vanillylmandelic acid and glutaric acid, yielded an area under the receiver operating characteristic curve of 0.808.
conclusionsThis study gives a holistic view of the metabolic phenotype of schizophrenia with violence which is characterized by the dysregulation of lipids and amino acids. These results might provide information for the aetiological understanding and management of violence in schizophrenia; however, this is a preliminary metabolomics study about schizophrenia with violence, which needs to be repeated in future studies.
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