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Zhou X, Ganz AB, Rayner A, Cheng TY, Oba H, Rolnik B, Lancaster S, Lu X, Li Y, Johnson JS, Hoyd R, Spakowicz DJ, Slavich GM, Snyder MP. Dynamic Human Gut Microbiome and Immune Shifts During an Immersive Psychosocial Therapeutic Program. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.06.26.600881. [PMID: 38979211 PMCID: PMC11230355 DOI: 10.1101/2024.06.26.600881] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/10/2024]
Abstract
Background Depression is a leading cause of disability worldwide yet its underlying factors, particularly microbial associations, are poorly understood. Methods We examined the longitudinal interplay between the microbiome and immune system in the context of depression during an immersive psychosocial intervention. 142 multi-omics samples were collected from 52 well-characterized participants before, during, and three months after a nine-day inquiry-based stress reduction program. Results We found that depression was associated with both an increased presence of putatively pathogenic bacteria and reduced microbial beta-diversity. Following the intervention, we observed reductions in neuroinflammatory cytokines and improvements in several mental health indicators. Interestingly, participants with a Prevotella-dominant microbiome showed milder symptoms when depressed, along with a more resilient microbiome and more favorable inflammatory cytokine profile, including reduced levels of CXCL-1. Conclusions Our findings reveal a protective link between the Prevotella-dominant microbiome and depression, associated with a less inflammatory environment and moderated symptoms. These insights, coupled with observed improvements in neuroinflammatory markers and mental health from the intervention, highlight potential avenues for microbiome-targeted therapies in depression management.
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Affiliation(s)
- Xin Zhou
- Department of Genetics, Stanford University School of Medicine, CA, USA
- Stanford Center for Genomics and Personalized Medicine, Stanford university School of Medicine, CA, USA
- These authors contributed equally to the work
| | - Ariel B. Ganz
- Department of Genetics, Stanford University School of Medicine, CA, USA
- Stanford Healthcare Innovation Lab, Stanford University, CA, USA
- These authors contributed equally to the work
| | - Andre Rayner
- Department of Genetics, Stanford University School of Medicine, CA, USA
| | - Tess Yan Cheng
- Department of Genetics, Stanford University School of Medicine, CA, USA
- Department of Microbiology, College of Arts and Sciences, University of Washington, WA, USA
| | - Haley Oba
- Department of Genetics, Stanford University School of Medicine, CA, USA
| | - Benjamin Rolnik
- Department of Genetics, Stanford University School of Medicine, CA, USA
- Stanford Healthcare Innovation Lab, Stanford University, CA, USA
| | - Samuel Lancaster
- Department of Genetics, Stanford University School of Medicine, CA, USA
| | - Xinrui Lu
- West China Biomedical Big Data Center, West China Hospital, Sichuan University, Sichuan, China
| | - Yizhou Li
- West China Biomedical Big Data Center, West China Hospital, Sichuan University, Sichuan, China
| | - Jethro S. Johnson
- Oxford Centre for Microbiome Studies, Kennedy Institute of Rheumatology, University of Oxford, Oxford, UK
| | - Rebecca Hoyd
- The Ohio State University Comprehensive Cancer Center, OH, USA
| | | | - George M. Slavich
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, CA, USA
| | - Michael P. Snyder
- Department of Genetics, Stanford University School of Medicine, CA, USA
- Stanford Center for Genomics and Personalized Medicine, Stanford university School of Medicine, CA, USA
- Stanford Healthcare Innovation Lab, Stanford University, CA, USA
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Dedon LR, Yuan H, Chi J, Gu H, Arias AJ, Covault JM, Zhou Y. Baseline gut microbiome and metabolites are correlated with alcohol consumption in a zonisamide clinical trial of heavy drinking alcoholic civilians. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.04.02.24305199. [PMID: 38633809 PMCID: PMC11023652 DOI: 10.1101/2024.04.02.24305199] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/19/2024]
Abstract
Development and severity of alcohol use disorder (AUD) has been linked to variations in gut microbiota and their associated metabolites in both animal and human studies. However, the involvement of the gut microbiome in alcohol consumption of individuals with AUD undergoing treatment remains unclear. To address this, stool samples (n=48) were collected at screening (baseline) and trial completion from a single site of a multi-site double-blind, placebo-controlled trial of Zonisamide in individuals with AUD. Alcohol consumption, gamma-glutamyl transferase (GGT), and phosphatidylethanol (PEth)levels were measured both at baseline and endpoint of 16-week trial period. Fecal microbiome was analyzed via 16S rRNA sequencing and metabolome via untargeted LC-MS. Both sex (p = 0.003) and psychotropic medication usage (p = 0.025) are associated with baseline microbiome composition. The relative abundance of 12 genera at baseline was correlated with percent drinking reduction, baseline and endpoint alcohol consumption, and changes in GGT and PeTH over the course of treatment (p.adj < 0.05). Overall microbiome community structure at baseline differed between high and low responders (67-100% and 0-33% drinking reduction, respectively; p = 0.03). A positive relationship between baseline fecal GABA levels and percent drinking reduction (R=0.43, p < 0.05) was identified by microbiome function prediction and confirmed by ELISA and metabolomics. Predicted microbiome function and metabolomics analysis have found that tryptophan metabolic pathways are over-represented in low responders. These findings highlight importance of baseline microbiome and metabolites in alcohol consumption in AUD patients undergoing zonisamide treatment.
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