Intestinal Microbes in Patients With Schizophrenia Undergoing Short-Term Treatment: Core Species Identification Based on Co-Occurrence Networks and Regression Analysis

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Reviewed Marked as Reviewed by Svetlana up on 2024-7-16
Citation
PMID PubMed identifier for scientific articles.
DOI Digital object identifier for electronic documents.
URI
Authors
Xiang M, Zheng L, Pu D, Lin F, Ma X, Ye H, Pu D, Zhang Y, Wang D, Wang X, Zou K, Chen L, Zhang Y, Sun Z, Zhang T, Wu G
Journal
Frontiers in microbiology
Year
2022
Keywords:
16S rRNA sequencing, fecal microbiota transplantation, gut microbiota, gut-brain axis, schizophrenia
Schizophrenia, a common mental disorder, has a tremendous impact on the health and economy of people worldwide. Evidence suggests that the microbial-gut-brain axis is an important pathway for the interaction between the gut microbiome and the development of schizophrenia. What is not clear is how changes in the gut microbiota composition and structure during antipsychotic treatment improve the symptoms of schizophrenia. In this study, 25 patients with schizophrenia were recruited. Their fecal samples were collected before and after hospital treatment for 14-19 days. The composition and structure of the intestinal microbiota were evaluated by 16S rRNA sequencing analysis, and the results showed significant differences in fecal microbiota before and after treatment. Firmicutes (relative abundances of 82.60 and 86.64%) and Gemminger (relative abundances of 14.17 and 13.57%) were the first dominant species at the phylum and genus levels, respectively. The random forest algorithm and co-occurrence network analysis demonstrated that intestinal flora (especially the core species ASV57) could be used as biomarkers to distinguish different clinical states and match treatment regimens accordingly. In addition, after fecal microbiota transplantation, antibiotic-treated recipient mice showed multiple behavioral improvements. These included decreased psychomotor hyperactivity, increased social interaction, and memory. In conclusion, this study suggests that differences in the composition and structure of gut microbiota after treatment are associated with the development and severity of schizophrenia. Results may provide a potential target for the treatment of this disorder.

Experiment 1


Reviewed Marked as Reviewed by Svetlana up on 2024-7-16

Curated date: 2024/07/10

Curator: Jacob A. De Jesus

Revision editor(s): Jacob A. De Jesus, Scholastica

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
Treatment Treatment,treatment
Group 0 name Corresponds to the control (unexposed) group for case-control studies
Schizophrenia patients before treatment (BT)
Group 1 name Corresponds to the case (exposed) group for case-control studies
Schizophrenia patients after treatment (AT)
Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group
Schizophrenia patients after antipsychotic treatment
Group 0 sample size Number of subjects in the control (unexposed) group
25
Group 1 sample size Number of subjects in the case (exposed) group
25
Antibiotics exclusion Number of days without antibiotics usage (if applicable) and other antibiotics-related criteria used to exclude participants (if any)
14 days

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
4.0

Alpha Diversity

Shannon Estimator of species richness and species evenness: more weight on species richness
unchanged
Richness Number of species
unchanged

Signature 1

Reviewed Marked as Reviewed by Svetlana up on 2024-7-16

Curated date: 2024/07/10

Curator: Jacob A. De Jesus

Revision editor(s): Jacob A. De Jesus, Scholastica

Source: Figure 2A

Description: Bacterial taxa differentially abundant in patients before treatment (BT) compared to after treatment (AT)

Abundance in Group 1: increased abundance in Schizophrenia patients after treatment (AT)

NCBI Quality ControlLinks
Bacteroidales
Bacteroidia
Butyricicoccus
Faecalibacterium
Oscillospira
Prevotella
Prevotellaceae
Roseburia
Bacteroidota
Chloracidobacterium
Oscillospiraceae

Revision editor(s): Jacob A. De Jesus, Scholastica

Signature 2

Reviewed Marked as Reviewed by Svetlana up on 2024-7-16

Curated date: 2024/07/10

Curator: Jacob A. De Jesus

Revision editor(s): Jacob A. De Jesus, Scholastica

Source: Figure 2A

Description: Bacterial taxa differentially abundant in patients before treatment (BT) compared to after treatment (AT)

Abundance in Group 1: decreased abundance in Schizophrenia patients after treatment (AT)

NCBI Quality ControlLinks
Micrococcaceae
Rothia

Revision editor(s): Jacob A. De Jesus, Scholastica