An Epidemiologic Survey and Violent Behavior Analysis of Antisocial Personality Disorder in Young Men in Chengdu.

OBJECTIVES: To investigate the epidemiological characteristics of antisocial personality disorder (ASPD) in young men in Chengdu and explore the characteristics and risks of violence. METHODS: Stratified random sampling was used to conduct a self-assessment questionnaire survey in 4 108 males aged from 18 to 34 in Chengdu, including general demographic characteristics, structured clinical interview for the diagnostic and statistical manual of mental disorders-Ⅳ axis Ⅱ disorders (SCID-Ⅱ) personality disorder screen questionnaire, violence questionnaire, psychosis screening questionnaire (PSQ), Alcohol Use Disorders Identification Test (AUDIT) and drug use. χ2 test, univariate and multivariate logistic regression were used for analysis and odds ratio (OR) was calculated. RESULTS: The positive rate of ASPD was 5.91%, which was associated with young age, unmarried, unemployment state, low educational level, violent behavior, psychotic symptoms, alcohol and drug use (P<0.05). Young men with ASPD also had a risk (P<0.05) of violence (OR was 8.51), multiple violence (OR was 16.57), injury (OR was 6.68), intentional violence (OR was 11.41), etc., the risk decreased after controlling for psychotic symptoms and substance abuse, but was still statistically significant. CONCLUSIONS: The risk of violence, severe violence and intentional violence in young men in Chengdu is high, and psychotic symptoms and substance abuse increase the risk of ASPD violence and relate characteristics.

Profiling the differences of gut microbial structure between schizophrenia patients with and without violent behaviors based on 16S rRNA gene sequencing.

Understanding the violence behaviors in schizophrenia patients has always been the focus of forensic psychiatry. Although many studies show gut microbiota could regulate behavior, to our knowledge, no studies have profiled the gut microbiota structure in schizophrenia patients with violence. We profiled the characteristics of gut microbiota structure in 26 schizophrenia patients with violence (V.SCZ) by comparing with that of 16 schizophrenia patients without violence (NV.SCZ) under the control of confounders, and found the differences of gut microbiota structure between the two groups. Violence was assessed by the MacArthur Community Violence Instrument. Psychiatric symptoms were assessed by the Positive and Negative Syndrome Scale. The 16S rRNA gene sequencing was used to identify and relatively quantify gut microbial composition. Bioinformatics analysis was used to find differential gut microbial composition between the V.SCZ and NV.SCZ groups. Fifty-nine differential microbial taxonomic compositions were found between the two groups. Fifteen gut microbial compositions were the key microbial taxonomic compositions responsible for the differences between the V.SCZ and NV.SCZ groups, including five enriched microbial taxonomic compositions (p_Bacteroidetes, c_Bacteroidia, o_Bacteroidales, f_Prevotellaceae, s_Bacteroides_uniformis), and ten impoverished microbial taxonomic compositions (p_Actinobacteria, c_unidentified_Actinobacteria, o_Bifidobacteriales, f_ Enterococcaceae, f_Veillonellaceae, f_Bifidobacteriaceae, g_Enterococcus, g_Candidatus_Saccharimonas, g_Bifidobacterium, and s_Bifidobacterium_pseudocatenulatum). This study profiled the differences of gut microbiota between schizophrenia patients with violence and without violence. These results could enrich the etiological understanding of violence in schizophrenia and might be helpful to violence management in the future.

Dysregulation of amino acids and lipids metabolism in schizophrenia with violence.

BACKGROUND: Many 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. METHODS: To 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. RESULTS: Multivariate 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. CONCLUSIONS: This 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.