Schizophrenia Research最新文献

There are some conflicting results regarding alterations of gut microbial composition in schizophrenia (SZ), even a few meta-analysis studies have addressed this field. Ignoring of antipsychotic medication effects may cause the large heterogeneity and impact on study results. This study is a meta-analysis to systematically evaluate composition of gut microbiota in patients with SZ, to elucidate the impact of antipsychotic use and reveal distinct and shared gut bacteria in SZ and antipsychotic medications. We re-analyzed the publicly available 16S rRNA-gene amplicon datasets by a standardized pipeline in QIIME2, used the natural log of response ratios as an effect index to directly and quantitatively compare composition of gut microbiota by random-effects meta-analysis with resampling tests in Metawin, ultimately to evaluate distinct abundance of gut bacteria. A total of 19 studies with 1968 participants (1067 patients with SZ and 901 healthy controls (HCs)) were included in this meta-analysis. The alterations of alpha diversity indices occurred in SZ on antipsychotics but not in drug-naïve or -free patients, while variation of beta diversity metrics appeared in SZ regardless of antipsychotic use. After antipsychotic treatment, reversed Simpson index, decreased observed species index and significant difference of Bray-Curtis distance were observed in patients. Especially, risperidone treatment increased the Shannon and Simpson indices. Noteworthy, three differed genera, including Lactobacillus, Roseburia and Dialister, were identified in both states of antipsychotic use. This meta-analysis is to provide a novel insight that SZ and antipsychotic medications present distinct and shared gut microbial composition.

Schizophrenia is a complex neurological disorder characterized by significant impairment in the perception of reality and changes in behavior. Genetic and environmental factors influence the development of schizophrenia. CACNA1C, which encodes a subunit of a voltage-dependent calcium channel, has been associated with various neurological disorders, including schizophrenia. Several studies have been performed in different populations to explore the association of common genetic variants in the CACNA1C gene with susceptibility to the development of schizophrenia, but results remain contradictory. To draw a definitive conclusion on the association between CACNA1C polymorphisms and schizophrenia, we conducted a meta-analysis focusing on three commonly studied polymorphisms: rs1006737, rs4765905, and rs2007044. For the meta-analysis, a comprehensive literature search was performed using PubMed, Scopus, Science Direct and Google Scholar databases. Data was retrieved, and the meta-analysis was performed using CMA v4 software. The meta-analysis revealed a significant association between rs1006737 and rs2007044 and schizophrenia in the overall population, while no such association was found for rs4765905. Population-wise analysis suggested that all three polymorphisms were significantly associated with schizophrenia in the Asian population and that rs1006737 was significantly associated with schizophrenia in Europeans. We also performed a Trial Sequential Analysis (TSA), which supported our findings. Some report-based assay studies have suggested a role for these polymorphisms in schizophrenia, but further case-control studies are needed to confirm the association of rs4765905 and rs2007044 with the disorder.