ArticleFrontiers in endocrinology2023
Profiles and diagnostic value of intestinal microbiota in schizophrenia patients with metabolic syndrome.
Article in Frontiers in endocrinology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 9 citations in OpenAlex.
- Biological Susceptibility of Patients with Schizophrenia to Metabolic Syndrome: A Review.Alpha psychiatry · 2025Review
- Should we consider microbiota-based interventions as a novel therapeutic strategy for schizophrenia? A systematic review and meta-analysis.Brain, behavior, & immunity - health · 2025Article
- The role of the microbiota-gut-brain axis in schizophrenia: an immunological perspective.Frontiers in immunology · 2025Review
- Comprehensive Analysis of the Microbiome and Metabolome: Unveiling Interactions Between Intestinal Flora and Metabolites in Schizophrenia.Neuropsychiatric disease and treatment · 2025Article
- Gut mycobiota dysbiosis and systemic immune dysfunction in Chinese schizophrenia patients with metabolic syndrome.Frontiers in immunology · 2025Article
- Exploring the effects of probiotics on olanzapine-induced metabolic syndrome through the gut microbiota.Gut pathogens · 2024Article
- Altered gut microbiota and systemic immunity in Chinese patients with schizophrenia comorbid with metabolic syndrome.Journal of translational medicine · 2024Article
- Unveiling the gut microbiota blueprint of schizophrenia: a multilevel omics approach.Frontiers in psychiatry · 2024Article
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Aims/hypothesis: It is widely thought that the intestinal microbiota plays a significant role in the pathogenesis of metabolic disorders. However, the gut microbiota composition and characteristics of schizophrenia patients with metabolic syndrome (MetS) have been largely understudied. Herein, we investigated the association between the metabolic status of mainland Chinese schizophrenia patients with MetS and the intestinal microbiome. Methods: Fecal microbiota communities from 115 male schizophrenia patients (57 with MetS and 58 without MetS) were assessed by 16S ribosomal RNA gene sequencing. We assessed the variations of gut microbiome between both groups and explored potential associations between intestinal microbiota and parameters of MetS. In addition, the Phylogenetic Investigation of Communities by Reconstruction of Unobserved States (PICRUSt) based on the KEGG database was used to predict the function of intestinal microbiota. We also conducted Decision Tree Analysis to develop a diagnostic model for the MetS in patients with schizophrenia based on the composition of intestinal microbiota. Results: The fecal microbial diversity significantly differed between groups with or without MetS (α-diversity (Shannon index and Simpson index): p=0.0155, p=0.0089; β-diversity: p=0.001). Moreover, the microbial composition was significantly different between the two groups, involving five phyla and 38 genera (p<0.05). In addition, a significant correlation was observed between the metabolic-related parameters and abundance of altered microbiota including HDL-c (r2 = 0.203, p=0.0005), GLU (r2 = 0.286, p=0.0005) and WC (r2 = 0.061, p=0.037). Furthermore, KEGG pathway analysis showed that 16 signaling pathways were significantly enriched between the two groups (p<0.05). Importantly, our diagnostic model based on five microorganisms established by decision tree analysis could effectively distinguish between patients with and without MetS (AUC = 0.94). Conclusions/interpretation: Our study established the compositional and functional characteristics of intestinal microbiota in schizophrenia patients with MetS. These new findings provide novel insights into a better understanding of this disease and provide the theoretical basis for implementing new interventional therapies in clinical practice.
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