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Relationships among the gut microbiome, brain networks, and symptom severity in schizophrenia patients: A mediation
Liqin Liang1, Shijia Li2, Yuanyuan Huang3
1School of Biomedical Sciences and Engineering, South China University of Technology, Guangzhou International Campus, Guangzhou 511442, China.
Abstract:
The microbiome-gut-brain axis (MGBA) plays a critical role in schizophrenia (SZ). However, the underlying mechanisms of the interactions among the gut microbiome, brain networks, and symptom severity in SZ patients remain largely unknown. Fecal samples, structural and functional magnetic resonance imaging (MRI) data, and Positive and Negative Syndrome Scale (PANSS) scores were collected from 38 SZ patients and 38 normal controls, respectively. The data of 16S rRNA gene sequencing were used to analyze the abundance of gut microbiome and the analysis of human brain networks was applied to compute the nodal properties of 90 brain regions. A total of 1,691,280 mediation models were constructed based on 261 gut bacterial, 810 nodal properties, and 4 PANSS scores in SZ patients. A strong correlation between the gut microbiome and brain networks (r = 0.89, false discovery rate (FDR) -corrected p < 0.05) was identified. Importantly, the PANSS scores were linearly correlated with both the gut microbiome (r = 0.5, FDR-corrected p < 0.05) and brain networks (r = 0.59, FDR-corrected p < 0.05). The abundance of genus Sellimonas significantly affected the PANSS negative scores of SZ patients via the betweenness centrality of white matter networks in the inferior frontal gyrus and amygdala. Moreover, 19 significant mediation models demonstrated that the nodal properties of 7 brain regions, predominately from the systems of visual, language, and control of action, showed significant mediating effects on the PANSS scores with the gut microbiome as mediators. Together, our findings indicated the tripartite relationships among the gut microbiome, brain networks, and PANSS scores and suggested their potential role in the neuropathology of SZ.
Insights
The gut microbiome and brain networks are linked to schizophrenia symptom severity. Specific gut bacteria, like Sellimonas, influence symptoms via brain network changes, revealing a tripartite relationship.
Area of Science:
- Neuroscience
- Microbiology
- Psychiatry
Background:
- The microbiome-gut-brain axis (MGBA) is crucial in schizophrenia (SZ).
- Mechanisms linking gut microbiome, brain networks, and SZ symptom severity are unclear.
- Understanding these interactions is vital for SZ neuropathology.
Purpose of the Study:
- To investigate the tripartite relationship between gut microbiome, brain networks, and schizophrenia symptom severity.
- To identify specific microbial and neural correlates of SZ symptoms.
Main Methods:
- Collected fecal samples, MRI data, and PANSS scores from 38 SZ patients and 38 controls.
- Analyzed gut microbiome using 16S rRNA gene sequencing.
- Computed brain network nodal properties from structural and functional MRI data.
- Constructed mediation models to assess interactions.
Main Results:
- Found a strong correlation between gut microbiome and brain networks (r=0.89, FDR-corrected p<0.05).
- Schizophrenia symptom severity (PANSS scores) correlated with both gut microbiome (r=0.5, FDR-corrected p<0.05) and brain networks (r=0.59, FDR-corrected p<0.05).
- Genus Sellimonas abundance mediated PANSS negative scores via white matter network centrality in the inferior frontal gyrus and amygdala.
- 19 mediation models showed brain regions (visual, language, action control systems) mediating PANSS scores with the gut microbiome.
Conclusions:
- Established a tripartite relationship among gut microbiome, brain networks, and schizophrenia symptom severity.
- Highlighted the role of specific gut bacteria and brain network properties in SZ neuropathology.
- Suggests potential therapeutic targets within the MGBA for schizophrenia.
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