Schizophrenia is a severe psychiatric disorder with an unclear etiology and various clinical manifestations. The diagnosis and consequent treatment of schizophrenia mainly rely on clinical symptoms. Multiple risk sites associated with schizophrenia have been identified, yet objective indicators have not been found to facilitate clinical diagnosis and treatment of schizophrenia. The development of omics technology provides different perspectives on the etiology of schizophrenia and make the early identification, diagnosis and treatment of the disorder possible. This article summarizes the prevalence of schizophrenia, reviews the research results and shortcomings of transcriptomics and proteomics, as well as the latest achievements and prospects of multi-omics, aiming to reveal the use of omics in SZ, provide more comprehensive biological evidence to reveal the complex pathogenesis of schizophrenia and provide a theoretical basis for the early identification, accurate diagnosis, disease progression control, and prognosis improvement of schizophrenia.
Humans ; Proteomics/methods* ; Transcriptome ; Schizophrenia/genetics*

Schizophrenia is a severe psychiatric disorder with an unclear etiology and various clinical manifestations. The diagnosis and consequent treatment of schizophrenia mainly rely on clinical symptoms. Multiple risk sites associated with schizophrenia have been identified, yet objective indicators have not been found to facilitate clinical diagnosis and treatment of schizophrenia. The development of omics technology provides different perspectives on the etiology of schizophrenia and make the early identification, diagnosis and treatment of the disorder possible. This article summarizes the prevalence of schizophrenia, reviews the research results and shortcomings of transcriptomics and proteomics, as well as the latest achievements and prospects of multi-omics, aiming to reveal the use of omics in SZ, provide more comprehensive biological evidence to reveal the complex pathogenesis of schizophrenia and provide a theoretical basis for the early identification, accurate diagnosis, disease progression control, and prognosis improvement of schizophrenia.
Humans ; Proteomics/methods* ; Transcriptome ; Schizophrenia/genetics*

The clinical symptoms and signs of methamphetamine-associated psychosis (MAP) and schizophrenia are highly similar, but the situation is completely different when MAP and schizophrenia patients need to be assessed for criminal responsibility after they comitted a harmful behavior. Therefore, the distinction between the two psychoses is very important in forensic psychiatry. At present, the identification of these two psychoses is mainly dependent on the corresponding criteria such as the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) and the Chinese Classification of Mental Disorders Version 3 (CCMD-3). It's challenging to diagnose and distinguish between the two in practical cases due to their similar clinical symptoms and the lack of effective objective indexes. Different from the limitations of single omics, integrative omics intergrates data from multiple dimensions and has been extensively studied in the field of schizophrenia and has achieved some preliminary results. In view of the correlation between MAP and schizophrenia and the potential application value of integrative omics, this paper proposes an integrative omics strategy for MAP pathogenesis and forensic identification, aiming to improve the further understanding of the relationship between the two psychoses and the corresponding pathogenesis. It also provides references for the future exploration of integrative omics in forensic precise identification and effective monitoring and early warning methods.
Humans ; Methamphetamine/adverse effects* ; Psychoses, Substance-Induced/etiology* ; Psychotic Disorders/genetics* ; Schizophrenia/genetics* ; Diagnosis, Differential

Micro non-coding RNA (microRNA, miRNA) is a small non-coding RNA involved in gene expression regulation that plays an important role in the onset and development of mental illness. Evidence suggests that several miRNAs are dysregulated in patients with mental illnesses. Because of its stability and quantitative detection in peripheral blood and cerebral fluid, miRNA is a particularly attractive biomarker. The objective of this research is to investigate the relationship between mental illness and miRNAs, as well as the potential processes through which miRNAs contribute to disease etiology. Schizophrenia, bipolar disorder, and depression are three major mental disorders with high disability and mortality. The study explored the particular dysregulated miRNAs for each condition as well as common dysregulated miRNAs across diseases. In this study, which analyzes the findings from relevant studies from 2016 to 2020, the authors discuss the functions of numerous severely dysfunctional miRNAs and their application potential in the field of psychiatry research.
Biomarkers ; Bipolar Disorder/genetics* ; Depression/genetics* ; Humans ; MicroRNAs ; Schizophrenia/genetics*

OBJECTIVE: To explore the role of the microbiota in drug naïve first-onset schizophrenia patients and to seek evidence from multidimensional longitudinal analyses of the intestinal microbiome and clinical phenotype with antipsychotic drugs (APDs) therapy. METHODS: In this study, 28 drug naïve first onset schizophrenia patients and age-, gender- and education-matched 29 healthy controls were included, and the patients were treated with APDs. We collected fecal and serum samples at baseline and after 6 weeks of treatment to identify the different microbiota strains and analyse their correlation with clinical symptoms and serum metabolites. The 16S rRNA genes of the gut microbiota were sequenced, and the diversity and relative abundance at the phylum and genus levels were analyzsed in detail. The PANSS score, BMI changed value, and serum metabolome were included in the data analyses. RESULTS: A multiomics study found a potential connection among the clinical phenotype, microbiota and metabolome. The species diversity analyses revealed that the alpha diversity index (chao1, ACE, and goods_coverage) in the schizophrenia APDs group was significantly lower than that in the control group, and the schizophrenia group had clear demarcation from the control group. The microbiota composition analysis results showed that the relative abundance of the genera of Bacteroides, Streptococcus, Romboutsia, and Eubacterium ruminantium group significantly changed after APDs treatment in the schizophrenia patients. These strains could reflect the APDs treatment effect. More genera had differences between the patient and control groups. The LEfSe analysis showed that Prevotella_9 and Bacteroides were enriched in schizophrenia, while Blautia, Dialister, and Roseburia were enriched in the control group. The correlation analysis between microbiota and clinical symptoms showed that Bifidobacterium in schizophrenia was positively correlated with the PANSS reduction rate of the general psychopathology scale. The BMI changed value was positively correlated with the alteration of Clostridium_sensu_stricto_1 during treatment and the baseline abundance of Bacteroides. Moreover, metabolomic data analysis revealed a significant correlation between specific genera and metabolites, such as L-methionine, L-proline, homovanillic acid, N-acetylserotonin, and vitamin B6. CONCLUSION Our study found some microbiota features in schizophrenia patients and healthy controls, and several strains were correlated with APDs effects. Furthermore, the multiomics analysis implies the intermediate role of microbiota between antipsychotic effects and serum metabolites and provides new evidence to interpret the difference from multiple levels in the pathogenesis and pharmacological mechanism of schizophrenia.
Humans ; Antipsychotic Agents ; Homovanillic Acid ; Metabolomics/methods* ; Methionine ; Microbiota ; Proline ; RNA, Ribosomal, 16S/genetics* ; Schizophrenia ; Vitamin B 6 ; Feces

Schizophrenia is a common disease characterized by thinking obstructions and accompanied by cognitive, emotional and behavioral disorders. Under the control of psychiatric symptoms, patients with schizophrenia may self-injure or impulsively wound others, resulting in public risk and increase in the burden of family and society. In recent years, many studies have shown that the violent behavior of patients with schizophrenia is related to genetic factors. This article reviews the research progress on the relationship between genetic polymorphism and violent behavior of patients with schizophrenia, analyzes the possible mechanism of the correlation between the two, puts forward the limitations of current research and the directions of future research, and provides scientific basis for risk assessment and prevention of violent behavior of patients with schizophrenia.
Aggression ; Humans ; Polymorphism, Genetic ; Risk Assessment ; Schizophrenia/genetics* ; Schizophrenic Psychology ; Violence

Objective To explore the correlation between 4 tag single nucleotide polymorphisms （Tag SNP） sites （rs7721799, rs32897, rs7718461, rs10062367） of corticotropin releasing hormone binding protein （CRHBP） and schizophrenia and aggressive behavior in the Yunnan Han population. Methods Case-control correlation analysis was used to establish a complex amplification system. Improved multiplex ligase detection reaction （iMLDR） technology was used to detect the genotypes of 4 SNP sites of CRHBP gene of 163 Han schizophrenic patients （including 81 patients with aggressive behavior, 82 patients without aggressive behavior） and 345 healthy Han individuals, which were analyzed statistically by SPSS 19.0, Haploview 4.2 and PHASE 2.1 software. Results There was no correlation between the 3 SNP sites of CRHBP gene and the onset of schizophrenia except for the rs7718461 site （P>0.05）. The relative risk of aggressive behavior of patients carrying GG or GA genotype at rs7718461 site were 4.903 times higher than those carrying AA genotype （P<0.05）. Conclusion The CRHBP gene may not be associated with the occurrence of schizophrenia in Yunnan Han population, but AA genotype of rs7718461 may reduce the risk of aggressive behavior in schizophrenia patients.
Asian People/genetics* ; Carrier Proteins/genetics* ; China ; Gene Frequency ; Genetic Predisposition to Disease ; Genotype ; Humans ; Polymorphism, Single Nucleotide ; Schizophrenia/genetics*

OBJECTIVE: A popular design for the investigation of such effects, including effects of parent-of-origin (imprinting), maternal genotype, and maternal-fetal genotype interactions, is to collect deoxyribonucleic acid (DNA) from affected offspring and their mothers and to compare with an appropriate control sample. We investigate the effects of estimation of maternal, imprinting and interaction effects using multimodal modeling using parents and their offspring with schizophrenia in Korean population. METHODS: We have recruited 27 probands (with schizophrenia) with their parents and siblings whenever possible. We analyzed 20 SNPs of 7 neuronal genes in chromosome 18. We used EMIM analysis program for the estimation of maternal, imprinting and interaction effects using multimodal modeling. RESULTS: Of analyzed 20 single nucleotide polymorphisms (SNPs), significant SNP (rs 2276186) was suggested in EMIM analysis for child genetics effects (p=0.0225438044) and child genetic effects allowing for maternal genetic effects (p=0.0209453210) with very stringent multiple comparison Bonferroni correction. CONCLUSION: Our results are the pilot study for epigenetic study in mental disorder and help to understanding and use of EMIM statistical genetics analysis program with many limitations including small pedigree numbers.
Child ; Chromosomes, Human, Pair 18 ; DNA ; Epigenomics ; Genetics ; Genotype ; Humans ; Linear Models ; Mental Disorders ; Mothers ; Neurons ; Parents ; Pedigree ; Pilot Projects ; Polymorphism, Single Nucleotide ; Schizophrenia ; Siblings

OBJECTIVETo assess the association of polymorphisms of N-acyl-phosphatidylethanolamine-phospholipase D (DAPE-PLD) and fatty acid amide hydrolase (FAAH) genes, as well as their interaction, with schizophrenia.

METHODSPolymorphisms of NAPE-PLD rs12540583 and FAAH rs324420, rs2295633, and rs6429600 were determined with PCR - restriction fragment length polymorphism assay and Sanger sequencing. The genotypes of 345 subjects of Han Chinese origin diagnosed with schizophrenia and a 403 controls were compared. The results were analyzed with SPSS 17.0, and the interaction of the two genes was analyzed using a multifactor dimensionality reduction (MDR) method.

RESULTSThe frequency of NAPE-PLD rs12540583 polymorphism was significantly different between the two groups under both dominant and additive models (χ2=17.18 vs. χ2=18.94, P<0.0125). The frequencies of AC genotype and C allele of the patient group at rs12540583 were higher than those of the controls, and the interaction of NAPE-PLD and FAAH was associated with schizophrenia. A four-loci model (rs12540583, rs324420, rs2295633 and rs6429600) can best model the interaction between NAPE-PLD and FAAH.

CONCLUSIONThe AC genotype and C allele of NAPE-PLD rs12540583 locus are risk factors for schizophrenia, and the interaction between NAPE-PLD rs12540583 and FAAH rs324420, rs2295633 and rs6429600 is associated with schizophrenia.

Adult ; Amidohydrolases ; genetics ; Asian Continental Ancestry Group ; genetics ; China ; ethnology ; Female ; Genotype ; Humans ; Male ; Middle Aged ; Phospholipase D ; genetics ; Polymorphism, Genetic ; Schizophrenia ; genetics

Cross-sectional and longitudinal studies have identified widespread and progressive grey matter volume (GMV) reductions in schizophrenia, especially in the frontal lobe. In this study, we found a progressive GMV decrease in the rostral medial frontal cortex (rMFC, including the anterior cingulate cortex) in the patient group during a 6-week follow-up of 40 patients with schizophrenia and 31 healthy controls well-matched for age, gender, and education. The higher baseline GMV in the rMFC predicted better improvement in the positive score on the Positive and Negative Syndrome Scale (PANSS), and this might be related to the improved reality-monitoring. Besides, a higher baseline GMV in the posterior rMFC predicted better remission of general symptoms, and a lesser GMV reduction in this region was correlated with better remission of negative symptoms, probably associated with ameliorated self-referential processing and social cognition. Besides, a shorter disease course and higher educational level contributed to better improvement in the general psychopathological PANSS score, and a family history was negatively associated with improvement of the negative and total PANSS scores. These phenomena might be important for understanding the neuropathological mechanisms underlying the symptoms of schizophrenia and for making clinical decisions.
Adult ; Antipsychotic Agents ; therapeutic use ; Female ; Frontal Lobe ; diagnostic imaging ; drug effects ; pathology ; Genetic Predisposition to Disease ; Gray Matter ; diagnostic imaging ; drug effects ; pathology ; Humans ; Image Processing, Computer-Assisted ; Longitudinal Studies ; Magnetic Resonance Imaging ; Male ; Organ Size ; Psychiatric Status Rating Scales ; Regression Analysis ; Schizophrenia ; diagnostic imaging ; drug therapy ; genetics ; pathology ; Time Factors ; Treatment Outcome