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Jung Y, Lee T, Oh HS, Hyun Y, Song S, Chun J, Kim HW. Gut microbial and clinical characteristics of individuals with autism spectrum disorder differ depending on the ecological structure of the gut microbiome. Psychiatry Res 2024; 335:115775. [PMID: 38503005 DOI: 10.1016/j.psychres.2024.115775] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Revised: 01/30/2024] [Accepted: 02/05/2024] [Indexed: 03/21/2024]
Abstract
Understanding the relationship between the gut microbiome and autism spectrum disorder (ASD) is challenging due to the heterogeneous nature of ASD. Here, we analyzed the microbial and clinical characteristics of individuals with ASD using enterotypes. A total of 456 individuals participated in the study, including 249 participants with ASD, 106 typically developing siblings, and 101 controls. The alpha and beta diversities of the ASD, sibling, and control groups did not show significant differences. Analysis revealed a negative association between the Bifidobacterium longum group and the Childhood Autism Rating Scale, as well as a negative association between the Streptococcus salivarus group and the Social Responsiveness Scale (SRS) within the ASD group. When clustered based on microbial composition, participants with ASD exhibited two distinct enterotypes, E1 and E2. In the E2 group, the SRS score was significantly higher, and the Vineland Adaptive Behavior Scale score was significantly lower compared to the E1 group. Machine learning results indicated that the microbial species predicting SRS scores were distinct between the two enterotypes. Our study suggests that the microbial composition in individuals with ASD exhibits considerable variability, and the patterns of associations between the gut microbiome and clinical symptoms may vary depending on the enterotype.
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Affiliation(s)
- Yeonjae Jung
- Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, Korea; CJ Bioscience, Inc. Seoul, Korea
| | - Taeyeop Lee
- Department of Psychiatry, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | | | - Yerin Hyun
- Department of Psychiatry, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | | | - Jongsik Chun
- CJ Bioscience, Inc. Seoul, Korea; Department of Biological Sciences, Seoul National University, Seoul, Korea.
| | - Hyo-Won Kim
- Department of Psychiatry, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
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Yang J, Zhang Z, Xie Z, Bai L, Xiong P, Chen F, Zhu T, Peng Q, Wu H, Zhou Y, Ma Y, Zhang Y, Chen M, Gao J, Tian W, Shi K, Du Y, Duan Y, Wang H, Xu Y, Kuang YQ, Zhu M, Yu J, Wang K. Metformin modulates microbiota-derived inosine and ameliorates methamphetamine-induced anxiety and depression-like withdrawal symptoms in mice. Biomed Pharmacother 2022; 149:112837. [PMID: 35339829 DOI: 10.1016/j.biopha.2022.112837] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Revised: 03/16/2022] [Accepted: 03/16/2022] [Indexed: 11/26/2022] Open
Abstract
BACKGROUND Metformin exhibits therapeutic potential in behavioural deficits induced by methamphetamine (METH) in rats. Emerging studies suggest gut microbiota may impact psychiatric symptoms, but there is no direct evidence supporting metformin's participation in the pathophysiology of withdrawal symptoms via modulation of gut microbiota. METHODS In order to define the functional impacts of gut microbiota and metformin to the behavioural deficits during METH withdrawal, we utilized a combination of fecal microbiota transplantation (FMT), high-throughput sequencing, and untargeted metabolomics technologies. RESULTS First, METH addicts exhibited higher α diversity and distinct microbial structures compared to healthy controls. In particular, the relative abundance of Rikenellaceae was positively correlated with the severity of anxiety and depression. Second, both human-to-mouse and mouse-to-mouse FMTs confirmed that METH-altered-microbiota transplantation is sufficient to promote anxiety and depression-like behaviours in recipient germ-free mice, and these behavioural disturbances could be ameliorated by metformin. In-depth analysis revealed that METH significantly altered the bacterial composition and structure as well as relative abundance of several bacterial taxa and metabolites, including Rikenellaceae and inosine, respectively, whereas add-on metformin could remodel these alterations. Finally, the inosine complementation successfully restored METH-induced anxiety and depression-like behaviours in mice. CONCLUSION This study demonstrates that METH withdrawal-induced anxiety and depression-like behaviours are reversible and transmissible via gut microbiota in a mouse model. The therapeutic effects of metformin on psychiatric manifestations are associated with microbiota-derived metabolites, highlighting the role of the gut microbiota in substance use disorders and the pathophysiology of withdrawal symptoms.
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Affiliation(s)
- Jiqing Yang
- NHC Key Laboratory of Drug Addiction Medicine, First Affiliated Hospital of Kunming Medical University, Kunming 650032, China; Department of Clinical Laboratory, The First Affiliated Hospital of Kunming Medical University, Kunming 650032, China; Faculty of Life science and Technology, Kunming University of Science and Technology, Kunming 650500, China; Centre for Experimental Studies and Research, First Affiliated Hospital of Kunming Medical University, Kunming 650032, China
| | - Zunyue Zhang
- NHC Key Laboratory of Drug Addiction Medicine, First Affiliated Hospital of Kunming Medical University, Kunming 650032, China; School of Medicine, Yunnan University, Kunming 650091, China
| | - Zhenrong Xie
- NHC Key Laboratory of Drug Addiction Medicine, First Affiliated Hospital of Kunming Medical University, Kunming 650032, China; Centre for Experimental Studies and Research, First Affiliated Hospital of Kunming Medical University, Kunming 650032, China
| | - Ling Bai
- Faculty of Life science and Technology, Kunming University of Science and Technology, Kunming 650500, China
| | - Pu Xiong
- NHC Key Laboratory of Drug Addiction Medicine, First Affiliated Hospital of Kunming Medical University, Kunming 650032, China; Centre for Experimental Studies and Research, First Affiliated Hospital of Kunming Medical University, Kunming 650032, China
| | - Fengrong Chen
- NHC Key Laboratory of Drug Addiction Medicine, First Affiliated Hospital of Kunming Medical University, Kunming 650032, China; Centre for Experimental Studies and Research, First Affiliated Hospital of Kunming Medical University, Kunming 650032, China
| | - Tailin Zhu
- Ministry of Education-Shanghai Key Laboratory for Children's Environmental Health, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China
| | - Qingyan Peng
- NHC Key Laboratory of Drug Addiction Medicine, First Affiliated Hospital of Kunming Medical University, Kunming 650032, China; Centre for Experimental Studies and Research, First Affiliated Hospital of Kunming Medical University, Kunming 650032, China
| | - Hongjin Wu
- NHC Key Laboratory of Drug Addiction Medicine, First Affiliated Hospital of Kunming Medical University, Kunming 650032, China; Centre for Experimental Studies and Research, First Affiliated Hospital of Kunming Medical University, Kunming 650032, China
| | - Yong Zhou
- NHC Key Laboratory of Drug Addiction Medicine, First Affiliated Hospital of Kunming Medical University, Kunming 650032, China; Centre for Experimental Studies and Research, First Affiliated Hospital of Kunming Medical University, Kunming 650032, China
| | - Yuru Ma
- NHC Key Laboratory of Drug Addiction Medicine, First Affiliated Hospital of Kunming Medical University, Kunming 650032, China; Centre for Experimental Studies and Research, First Affiliated Hospital of Kunming Medical University, Kunming 650032, China
| | - Yongjin Zhang
- NHC Key Laboratory of Drug Addiction Medicine, First Affiliated Hospital of Kunming Medical University, Kunming 650032, China; Centre for Experimental Studies and Research, First Affiliated Hospital of Kunming Medical University, Kunming 650032, China
| | - Minghui Chen
- NHC Key Laboratory of Drug Addiction Medicine, First Affiliated Hospital of Kunming Medical University, Kunming 650032, China; Centre for Experimental Studies and Research, First Affiliated Hospital of Kunming Medical University, Kunming 650032, China
| | - Jianyuan Gao
- NHC Key Laboratory of Drug Addiction Medicine, First Affiliated Hospital of Kunming Medical University, Kunming 650032, China; Centre for Experimental Studies and Research, First Affiliated Hospital of Kunming Medical University, Kunming 650032, China
| | - Weiwei Tian
- NHC Key Laboratory of Drug Addiction Medicine, First Affiliated Hospital of Kunming Medical University, Kunming 650032, China
| | - Kai Shi
- College of Science, Guilin University of Technology, Guilin 541004, China
| | - Yan Du
- Department of Clinical Laboratory, The First Affiliated Hospital of Kunming Medical University, Kunming 650032, China
| | - Yong Duan
- Department of Clinical Laboratory, The First Affiliated Hospital of Kunming Medical University, Kunming 650032, China
| | - Huawei Wang
- NHC Key Laboratory of Drug Addiction Medicine, First Affiliated Hospital of Kunming Medical University, Kunming 650032, China
| | - Yu Xu
- NHC Key Laboratory of Drug Addiction Medicine, First Affiliated Hospital of Kunming Medical University, Kunming 650032, China; Department of Gastrointestinal Surgery, The First Affiliated Hospital of Kunming Medical University, Kunming 650032, China
| | - Yi-Qun Kuang
- NHC Key Laboratory of Drug Addiction Medicine, First Affiliated Hospital of Kunming Medical University, Kunming 650032, China; Centre for Experimental Studies and Research, First Affiliated Hospital of Kunming Medical University, Kunming 650032, China
| | - Mei Zhu
- NHC Key Laboratory of Drug Addiction Medicine, First Affiliated Hospital of Kunming Medical University, Kunming 650032, China; Centre for Experimental Studies and Research, First Affiliated Hospital of Kunming Medical University, Kunming 650032, China
| | - Juehua Yu
- NHC Key Laboratory of Drug Addiction Medicine, First Affiliated Hospital of Kunming Medical University, Kunming 650032, China; Centre for Experimental Studies and Research, First Affiliated Hospital of Kunming Medical University, Kunming 650032, China.
| | - Kunhua Wang
- NHC Key Laboratory of Drug Addiction Medicine, First Affiliated Hospital of Kunming Medical University, Kunming 650032, China; Faculty of Life science and Technology, Kunming University of Science and Technology, Kunming 650500, China; School of Medicine, Yunnan University, Kunming 650091, China.
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Chen Z, Shi K, Liu X, Dai Y, Liu Y, Zhang L, Du X, Zhu T, Yu J, Fang S, Li F. Gut Microbial Profile Is Associated With the Severity of Social Impairment and IQ Performance in Children With Autism Spectrum Disorder. Front Psychiatry 2021; 12:789864. [PMID: 34975585 PMCID: PMC8718873 DOI: 10.3389/fpsyt.2021.789864] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Accepted: 11/16/2021] [Indexed: 12/22/2022] Open
Abstract
Background and Objective: Autism spectrum disorder (ASD) refers to a heterogeneous set of neurodevelopmental disorders with diverse symptom severity and comorbidities. Although alterations in gut microbiota have been reported in individuals with ASD, it remains unclear whether certain microbial pattern is linked to specific symptom or comorbidity in ASD. We aimed to investigate the associations between gut microbiota and the severity of social impairment and cognitive functioning in children with ASD. Methods: A total of 261 age-matched children, including 138 children diagnosed with ASD, 63 with developmental delay or intellectual disability (DD/ID), and 60 typically developing (TD) children, were enrolled from the Shanghai Xinhua Registry. The children with ASD were further classified into two subgroups: 76 children diagnosed with ASD and developmental disorder (ASD+DD) and 62 with ASD only (ASD-only). The gut microbiome of all children was profiled and evaluated by 16S ribosomal RNA sequencing. Results: The gut microbial analyses demonstrated an altered microbial community structure in children with ASD. The alpha diversity indices of the ASD+DD and ASD-only subgroups were significantly lower than the DD/ID or TD groups. At the genus level, we observed a decrease in the relative abundance of Prevotella. Simultaneously, Bacteroides and Faecalibacterium were significantly increased in ASD compared with DD/ID and TD participants. There was a clear correlation between alpha diversity and the Childhood Autism Rating Scale (CARS) total score for all participants, and this correlation was independent of IQ performance. Similar correlations with the CARS total score were observed for genera Bacteroides, Faecalibacterium, and Oscillospira. However, there was no single genus significantly associated with IQ in all participants. Conclusions: Specific alterations in bacterial taxonomic composition and associations with the severity of social impairment and IQ performance were observed in children with ASD or ASD subgroups, when compared with DD/ID or TD groups. These results illustrate that gut microbiota may serve as a promising biomarker for ASD symptoms. Nevertheless, further investigations are warranted.
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Affiliation(s)
- Zilin Chen
- Department of Developmental and Behavioral Pediatric & Child Primary Care, Brain and Behavioral Research Unit of Shanghai Institute for Pediatric Research and MOE-Shanghai Key Laboratory for Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Kai Shi
- Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China
| | - Xin Liu
- Department of Developmental and Behavioral Pediatric & Child Primary Care, Brain and Behavioral Research Unit of Shanghai Institute for Pediatric Research and MOE-Shanghai Key Laboratory for Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yuan Dai
- Department of Developmental and Behavioral Pediatric & Child Primary Care, Brain and Behavioral Research Unit of Shanghai Institute for Pediatric Research and MOE-Shanghai Key Laboratory for Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yuqi Liu
- Department of Developmental and Behavioral Pediatric & Child Primary Care, Brain and Behavioral Research Unit of Shanghai Institute for Pediatric Research and MOE-Shanghai Key Laboratory for Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Lingli Zhang
- Department of Developmental and Behavioral Pediatric & Child Primary Care, Brain and Behavioral Research Unit of Shanghai Institute for Pediatric Research and MOE-Shanghai Key Laboratory for Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiujuan Du
- Department of Developmental and Behavioral Pediatric & Child Primary Care, Brain and Behavioral Research Unit of Shanghai Institute for Pediatric Research and MOE-Shanghai Key Laboratory for Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Tailin Zhu
- Department of Developmental and Behavioral Pediatric & Child Primary Care, Brain and Behavioral Research Unit of Shanghai Institute for Pediatric Research and MOE-Shanghai Key Laboratory for Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Juehua Yu
- Centre for Experimental Studies and Research, First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Shuanfeng Fang
- Department of Child Health Care, Children's Hospital Affiliated to Zhengzhou University, Zhengzhou, China
| | - Fei Li
- Department of Developmental and Behavioral Pediatric & Child Primary Care, Brain and Behavioral Research Unit of Shanghai Institute for Pediatric Research and MOE-Shanghai Key Laboratory for Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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