Profiles and diagnostic value of intestinal microbiota in schizophrenia patients with metabolic syndrome
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Study information
-
Quality control
- Retracted paper
- Contamination issues suspected
- Batch effect issues suspected
- Uncontrolled confounding suspected
- Results are suspect (various reasons)
- Tags applied
study design
Citation
PMID PubMed identifier for scientific articles.
DOI Digital object identifier for electronic documents.
Authors
Xing M, Gao H, Yao L, Wang L, Zhang C, Zhu L, Cui D
Journal
Frontiers in endocrinology
Year
2023
Keywords:
16S rRNA, dyslipidemia, intestinal microbiota, metabolic syndrome, schizophrenia, type 2 diabetes
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.
Experiment 1
Reviewed Marked as Reviewed by Svetlana up on 2024-8-13
Subjects
- Location of subjects
- China
- Host species Species from which microbiome was sampled. Contact us to have more species added.
- Homo sapiens
- Body site Anatomical site where microbial samples were extracted from according to the Uber Anatomy Ontology
- Feces Cow dung,Cow pat,Droppings,Dung,Excrement,Excreta,Faeces,Fecal material,Fecal matter,Fewmet,Frass,Guano,Matières fécales@fr,Merde@fr,Ordure,Partie de la merde@fr,Piece of shit,Porción de mierda@es,Portion of dung,Portion of excrement,Portion of faeces,Portion of fecal material,Portion of fecal matter,Portion of feces,Portion of guano,Portion of scat,Portionem cacas,Scat,Spoor,Spraint,Stool,Teil der fäkalien@de,Feces,feces
- Condition The experimental condition / phenotype studied according to the Experimental Factor Ontology
- Metabolic syndrome Cardiovascular Syndrome, Metabolic,Cardiovascular Syndromes, Metabolic,Dysmetabolic Syndrome X,Insulin Resistance Syndrome X,Metabolic Cardiovascular Syndrome,metabolic syndrome,Metabolic Syndrome X,metabolic syndrome X,Metabolic X Syndrome,Reaven Syndrome X,Syndrome X, Dysmetabolic,Syndrome X, Insulin Resistance,Syndrome X, Metabolic,Syndrome X, Reaven,Syndrome, Metabolic Cardiovascular,Syndrome, Metabolic X,X Syndrome, Metabolic,Metabolic syndrome
- Group 0 name Corresponds to the control (unexposed) group for case-control studies
- Schizophrenia patients with MetS
- Group 1 name Corresponds to the case (exposed) group for case-control studies
- Schizophrenia patients without MetS
- Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group
- Schizophrenia patients with metabolic syndrome (MetS)
- Group 0 sample size Number of subjects in the control (unexposed) group
- 58
- Group 1 sample size Number of subjects in the case (exposed) group
- 57
- Antibiotics exclusion Number of days without antibiotics usage (if applicable) and other antibiotics-related criteria used to exclude participants (if any)
- 3 Months
Lab analysis
- Sequencing type
- 16S
- 16S variable region One or more hypervariable region(s) of the bacterial 16S gene
- V3-V4
- Sequencing platform Manufacturer and experimental platform used for quantifying microbial abundance
- Illumina
Statistical Analysis
- Data transformation Data transformation applied to microbial abundance measurements prior to differential abundance testing (if any).
- relative abundances
- Statistical test
- LEfSe
- Significance threshold p-value or FDR threshold used for differential abundance testing (if any)
- 0.05
- MHT correction Have statistical tests be corrected for multiple hypothesis testing (MHT)?
- No
- LDA Score above Threshold for the linear discriminant analysis (LDA) score for studies using the popular LEfSe tool
- 3
Alpha Diversity
- Shannon Estimator of species richness and species evenness: more weight on species richness
- increased
- Simpson Estimator of species richness and species evenness: more weight on species evenness
- increased
Signature 1
Reviewed Marked as Reviewed by Svetlana up on 2024-8-13
Source: Figure 4A
Description: A Linear Discriminant Analysis (LDA) Effect Size (LEfSe) analysis of significant bacterial differences in the fecal microbiota of schizophrenia patients with versus without metabolic syndrome (MetS)
Abundance in Group 1: increased abundance in Schizophrenia patients without MetS
Revision editor(s): JoyceQ, Scholastica
Signature 2
Reviewed Marked as Reviewed by Svetlana up on 2024-8-13
Source: Figure 4A
Description: A Linear Discriminant Analysis (LDA) Effect Size (LEfSe) analysis of significant bacterial differences in the fecal microbiota of schizophrenia patients with versus without metabolic syndrome (MetS)
Abundance in Group 1: decreased abundance in Schizophrenia patients without MetS
Revision editor(s): JoyceQ, Scholastica
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