Gut microbiome in Schizophrenia: Altered functional pathways related to immune modulation and atherosclerotic risk
•SZ is associated with altered gut microbial composition and functional potential.•Models based on the gut microbiome differentiated SZ from NCs with high accuracy.•Lachnospiraceae was associated with SZ.•TMAO reductase and Kdo2-lipid A biosynthesis functional pathways were altered in SZ.•Pathways w...
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Published in | Brain, behavior, and immunity Vol. 91; pp. 245 - 256 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
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Elsevier Inc
01.01.2021
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Abstract | •SZ is associated with altered gut microbial composition and functional potential.•Models based on the gut microbiome differentiated SZ from NCs with high accuracy.•Lachnospiraceae was associated with SZ.•TMAO reductase and Kdo2-lipid A biosynthesis functional pathways were altered in SZ.•Pathways were associated with inflammatory cytokines and risk for coronary heart disease in SZ.
Emerging evidence has linked the gut microbiome changes to schizophrenia. However, there has been limited research into the functional pathways by which the gut microbiota contributes to the phenotype of persons with chronic schizophrenia. We characterized the composition and functional potential of the gut microbiota in 48 individuals with chronic schizophrenia and 48 matched (sequencing plate, age, sex, BMI, and antibiotic use) non-psychiatric comparison subjects (NCs) using 16S rRNA sequencing. Patients with schizophrenia demonstrated significant beta-diversity differences in microbial composition and predicted genetic functional potential compared to NCs. Alpha-diversity of taxa and functional pathways were not different between groups. Random forests analyses revealed that the microbiome predicts differentiation of patients with schizophrenia from NCs using taxa (75% accuracy) and functional profiles (67% accuracy for KEGG orthologs, 70% for MetaCyc pathways). We utilized a new compositionally-aware method incorporating reference frames to identify differentially abundant microbes and pathways, which revealed that Lachnospiraceae is associated with schizophrenia. Functional pathways related to trimethylamine-N-oxide reductase and Kdo2-lipid A biosynthesis were altered in schizophrenia. These metabolic pathways were associated with inflammatory cytokines and risk for coronary heart disease in schizophrenia. Findings suggest potential mechanisms by which the microbiota may impact the pathophysiology of the disease through modulation of functional pathways related to immune signaling/response and lipid and glucose regulation to be further investigated in future studies. |
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AbstractList | Emerging evidence has linked the gut microbiome changes to schizophrenia. However, there has been limited research into the functional pathways by which the gut microbiota contributes to the phenotype of persons with chronic schizophrenia. We characterized the composition and functional potential of the gut microbiota in 48 individuals with chronic schizophrenia and 48 matched (sequencing plate, age, sex, BMI, and antibiotic use) non-psychiatric comparison subjects (NCs) using 16S rRNA sequencing. Patients with schizophrenia demonstrated significant beta-diversity differences in microbial composition and predicted genetic functional potential compared to NCs. Alpha-diversity of taxa and functional pathways were not different between groups. Random forests analyses revealed that the microbiome predicts differentiation of patients with schizophrenia from NCs using taxa (75% accuracy) and functional profiles (67% accuracy for KEGG orthologs, 70% for MetaCyc pathways). We utilized a new compositionally-aware method incorporating reference frames to identify differentially abundant microbes and pathways, which revealed that Lachnospiraceae is associated with schizophrenia. Functional pathways related to trimethylamine-N-oxide reductase and Kdo2-lipid A biosynthesis were altered in schizophrenia. These metabolic pathways were associated with inflammatory cytokines and risk for coronary heart disease in schizophrenia. Findings suggest potential mechanisms by which the microbiota may impact the pathophysiology of the disease through modulation of functional pathways related to immune signaling/response and lipid and glucose regulation to be further investigated in future studies.Emerging evidence has linked the gut microbiome changes to schizophrenia. However, there has been limited research into the functional pathways by which the gut microbiota contributes to the phenotype of persons with chronic schizophrenia. We characterized the composition and functional potential of the gut microbiota in 48 individuals with chronic schizophrenia and 48 matched (sequencing plate, age, sex, BMI, and antibiotic use) non-psychiatric comparison subjects (NCs) using 16S rRNA sequencing. Patients with schizophrenia demonstrated significant beta-diversity differences in microbial composition and predicted genetic functional potential compared to NCs. Alpha-diversity of taxa and functional pathways were not different between groups. Random forests analyses revealed that the microbiome predicts differentiation of patients with schizophrenia from NCs using taxa (75% accuracy) and functional profiles (67% accuracy for KEGG orthologs, 70% for MetaCyc pathways). We utilized a new compositionally-aware method incorporating reference frames to identify differentially abundant microbes and pathways, which revealed that Lachnospiraceae is associated with schizophrenia. Functional pathways related to trimethylamine-N-oxide reductase and Kdo2-lipid A biosynthesis were altered in schizophrenia. These metabolic pathways were associated with inflammatory cytokines and risk for coronary heart disease in schizophrenia. Findings suggest potential mechanisms by which the microbiota may impact the pathophysiology of the disease through modulation of functional pathways related to immune signaling/response and lipid and glucose regulation to be further investigated in future studies. Emerging evidence has linked the gut microbiome changes to schizophrenia. However, there has been limited research into the functional pathways by which the gut microbiota contributes to the phenotype of persons with chronic schizophrenia. We characterized the composition and functional potential of the gut microbiota in 48 individuals with chronic schizophrenia and 48 matched (sequencing plate, age, sex, BMI, and antibiotic use) non-psychiatric comparison subjects (NCs) using 16S rRNA sequencing. Patients with schizophrenia demonstrated significant beta-diversity differences in microbial composition and predicted genetic functional potential compared to NCs. Alpha-diversity of taxa and functional pathways were not different between groups. Random forests analyses revealed that the microbiome predicts differentiation of patients with schizophrenia from NCs using taxa (75% accuracy) and functional profiles (67% accuracy for KEGG orthologs, 70% for MetaCyc pathways). We utilized a new compositionally-aware method incorporating reference frames to identify differentially abundant microbes and pathways, which revealed that Lachnospiraceae is associated with schizophrenia. Functional pathways related to trimethylamine-N-oxide reductase and Kdo -lipid A biosynthesis were altered in schizophrenia. These metabolic pathways were associated with inflammatory cytokines and risk for coronary heart disease in schizophrenia. Findings suggest potential mechanisms by which the microbiota may impact the pathophysiology of the disease through modulation of functional pathways related to immune signaling/response and lipid and glucose regulation to be further investigated in future studies. •SZ is associated with altered gut microbial composition and functional potential.•Models based on the gut microbiome differentiated SZ from NCs with high accuracy.•Lachnospiraceae was associated with SZ.•TMAO reductase and Kdo2-lipid A biosynthesis functional pathways were altered in SZ.•Pathways were associated with inflammatory cytokines and risk for coronary heart disease in SZ. Emerging evidence has linked the gut microbiome changes to schizophrenia. However, there has been limited research into the functional pathways by which the gut microbiota contributes to the phenotype of persons with chronic schizophrenia. We characterized the composition and functional potential of the gut microbiota in 48 individuals with chronic schizophrenia and 48 matched (sequencing plate, age, sex, BMI, and antibiotic use) non-psychiatric comparison subjects (NCs) using 16S rRNA sequencing. Patients with schizophrenia demonstrated significant beta-diversity differences in microbial composition and predicted genetic functional potential compared to NCs. Alpha-diversity of taxa and functional pathways were not different between groups. Random forests analyses revealed that the microbiome predicts differentiation of patients with schizophrenia from NCs using taxa (75% accuracy) and functional profiles (67% accuracy for KEGG orthologs, 70% for MetaCyc pathways). We utilized a new compositionally-aware method incorporating reference frames to identify differentially abundant microbes and pathways, which revealed that Lachnospiraceae is associated with schizophrenia. Functional pathways related to trimethylamine-N-oxide reductase and Kdo2-lipid A biosynthesis were altered in schizophrenia. These metabolic pathways were associated with inflammatory cytokines and risk for coronary heart disease in schizophrenia. Findings suggest potential mechanisms by which the microbiota may impact the pathophysiology of the disease through modulation of functional pathways related to immune signaling/response and lipid and glucose regulation to be further investigated in future studies. Emerging evidence has linked the gut microbiome changes to schizophrenia. However, there has been limited research into the functional pathways by which the gut microbiota contributes to the phenotype of persons with chronic schizophrenia. We characterized the composition and functional potential of the gut microbiota in 48 individuals with chronic schizophrenia and 48 matched (sequencing plate, age, sex, BMI, and antibiotic use) non-psychiatric comparison subjects (NCs) using 16S rRNA sequencing. Patients with schizophrenia demonstrated significant beta-diversity differences in microbial composition and predicted genetic functional potential compared to NCs. Alpha-diversity of taxa and functional pathways were not different between groups. Random forests analyses revealed that the microbiome predicts differentiation of patients with schizophrenia from NCs using taxa (75% accuracy) and functional profiles (67% accuracy for KEGG orthologs, 70% for MetaCyc pathways). We utilized a new compositionally-aware method incorporating reference frames to identify differentially abundant microbes and pathways, which revealed that Lachnospiraceae is associated with schizophrenia. Functional pathways related to trimethylamine-N-oxide reductase and Kdo 2 -lipid A biosynthesis were altered in schizophrenia. These metabolic pathways were associated with inflammatory cytokines and risk for coronary heart disease in schizophrenia. Findings suggest potential mechanisms by which the microbiota may impact the pathophysiology of the disease through modulation of functional pathways related to immune signaling/response and lipid and glucose regulation to be further investigated in future studies. |
Author | Daly, Rebecca E. Jeste, Dilip V. Vázquez-Baeza, Yoshiki Swafford, Austin Knight, Rob Kosciolek, Tomasz Nguyen, Tanya T. |
AuthorAffiliation | 4 Małopolska Centre of Biotechnology, Jagiellonian University, Kraków, Poland 8 Department of Neurosciences, University of California San Diego, California 3 Department of Pediatrics, University of California San Diego California 1 Department of Psychiatry, University of California San Diego, California 2 Sam and Rose Stein Institute for Research on Aging, University of California San Diego, California 7 Department of Computer Science and Engineering, University of California San Diego, California 5 Center for Microbiome Innovation, University of California San Diego California 6 Department of Computer Science and Engineering, University of California San Diego, California |
AuthorAffiliation_xml | – name: 8 Department of Neurosciences, University of California San Diego, California – name: 5 Center for Microbiome Innovation, University of California San Diego California – name: 6 Department of Computer Science and Engineering, University of California San Diego, California – name: 3 Department of Pediatrics, University of California San Diego California – name: 1 Department of Psychiatry, University of California San Diego, California – name: 4 Małopolska Centre of Biotechnology, Jagiellonian University, Kraków, Poland – name: 2 Sam and Rose Stein Institute for Research on Aging, University of California San Diego, California – name: 7 Department of Computer Science and Engineering, University of California San Diego, California |
Author_xml | – sequence: 1 givenname: Tanya T. surname: Nguyen fullname: Nguyen, Tanya T. email: ttn050@health.ucsd.edu organization: Department of Psychiatry, University of California, San Diego, CA, United States – sequence: 2 givenname: Tomasz surname: Kosciolek fullname: Kosciolek, Tomasz organization: Department of Pediatrics, University of California, San Diego, CA, United States – sequence: 3 givenname: Rebecca E. surname: Daly fullname: Daly, Rebecca E. organization: Sam and Rose Stein Institute for Research on Aging, University of California, San Diego, CA, United States – sequence: 4 givenname: Yoshiki surname: Vázquez-Baeza fullname: Vázquez-Baeza, Yoshiki organization: Center for Microbiome Innovation, University of California, San Diego, CA, United States – sequence: 5 givenname: Austin surname: Swafford fullname: Swafford, Austin organization: Center for Microbiome Innovation, University of California, San Diego, CA, United States – sequence: 6 givenname: Rob surname: Knight fullname: Knight, Rob organization: Department of Pediatrics, University of California, San Diego, CA, United States – sequence: 7 givenname: Dilip V. surname: Jeste fullname: Jeste, Dilip V. organization: Department of Psychiatry, University of California, San Diego, CA, United States |
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Keywords | Psychosis Functional pathways Accelerated aging Gut-brain axis Serious mental illness Bacteria Inflammation Microbes |
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Snippet | •SZ is associated with altered gut microbial composition and functional potential.•Models based on the gut microbiome differentiated SZ from NCs with high... Emerging evidence has linked the gut microbiome changes to schizophrenia. However, there has been limited research into the functional pathways by which the... |
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SubjectTerms | Accelerated aging Bacteria Clostridiales Functional pathways Gastrointestinal Microbiome Gut-brain axis Humans Inflammation Microbes Microbiota Psychosis RNA, Ribosomal, 16S - genetics Schizophrenia Serious mental illness |
Title | Gut microbiome in Schizophrenia: Altered functional pathways related to immune modulation and atherosclerotic risk |
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