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      Metagenome-wide association of gut microbiome features for schizophrenia

      research-article
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      Nature Communications
      Nature Publishing Group UK
      Schizophrenia, Risk factors

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          Abstract

          Evidence is mounting that the gut-brain axis plays an important role in mental diseases fueling mechanistic investigations to provide a basis for future targeted interventions. However, shotgun metagenomic data from treatment-naïve patients are scarce hampering comprehensive analyses of the complex interaction between the gut microbiota and the brain. Here we explore the fecal microbiome based on 90 medication-free schizophrenia patients and 81 controls and identify a microbial species classifier distinguishing patients from controls with an area under the receiver operating characteristic curve (AUC) of 0.896, and replicate the microbiome-based disease classifier in 45 patients and 45 controls (AUC = 0.765). Functional potentials associated with schizophrenia include differences in short-chain fatty acids synthesis, tryptophan metabolism, and synthesis/degradation of neurotransmitters. Transplantation of a schizophrenia-enriched bacterium, Streptococcus vestibularis, appear to induces deficits in social behaviors, and alters neurotransmitter levels in peripheral tissues in recipient mice. Our findings provide new leads for further investigations in cohort studies and animal models.

          Abstract

          Gut microbiome has been linked to neurogenerative diseases. Here, the authors present a metagenome-wide association study of schizophrenia (SZ) in human cohorts and identify SZ-associated specific gut-brain functional modules and pathways including SCFAs and neurotransmitters.

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          Most cited references75

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          The Positive and Negative Syndrome Scale (PANSS) for Schizophrenia

          The variable results of positive-negative research with schizophrenics underscore the importance of well-characterized, standardized measurement techniques. We report on the development and initial standardization of the Positive and Negative Syndrome Scale (PANSS) for typological and dimensional assessment. Based on two established psychiatric rating systems, the 30-item PANSS was conceived as an operationalized, drug-sensitive instrument that provides balanced representation of positive and negative symptoms and gauges their relationship to one another and to global psychopathology. It thus constitutes four scales measuring positive and negative syndromes, their differential, and general severity of illness. Study of 101 schizophrenics found the four scales to be normally distributed and supported their reliability and stability. Positive and negative scores were inversely correlated once their common association with general psychopathology was extracted, suggesting that they represent mutually exclusive constructs. Review of five studies involving the PANSS provided evidence of its criterion-related validity with antecedent, genealogical, and concurrent measures, its predictive validity, its drug sensitivity, and its utility for both typological and dimensional assessment.
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            A metagenome-wide association study of gut microbiota in type 2 diabetes.

            Assessment and characterization of gut microbiota has become a major research area in human disease, including type 2 diabetes, the most prevalent endocrine disease worldwide. To carry out analysis on gut microbial content in patients with type 2 diabetes, we developed a protocol for a metagenome-wide association study (MGWAS) and undertook a two-stage MGWAS based on deep shotgun sequencing of the gut microbial DNA from 345 Chinese individuals. We identified and validated approximately 60,000 type-2-diabetes-associated markers and established the concept of a metagenomic linkage group, enabling taxonomic species-level analyses. MGWAS analysis showed that patients with type 2 diabetes were characterized by a moderate degree of gut microbial dysbiosis, a decrease in the abundance of some universal butyrate-producing bacteria and an increase in various opportunistic pathogens, as well as an enrichment of other microbial functions conferring sulphate reduction and oxidative stress resistance. An analysis of 23 additional individuals demonstrated that these gut microbial markers might be useful for classifying type 2 diabetes.
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              Gut Microbiota Regulate Motor Deficits and Neuroinflammation in a Model of Parkinson's Disease.

              The intestinal microbiota influence neurodevelopment, modulate behavior, and contribute to neurological disorders. However, a functional link between gut bacteria and neurodegenerative diseases remains unexplored. Synucleinopathies are characterized by aggregation of the protein α-synuclein (αSyn), often resulting in motor dysfunction as exemplified by Parkinson's disease (PD). Using mice that overexpress αSyn, we report herein that gut microbiota are required for motor deficits, microglia activation, and αSyn pathology. Antibiotic treatment ameliorates, while microbial re-colonization promotes, pathophysiology in adult animals, suggesting that postnatal signaling between the gut and the brain modulates disease. Indeed, oral administration of specific microbial metabolites to germ-free mice promotes neuroinflammation and motor symptoms. Remarkably, colonization of αSyn-overexpressing mice with microbiota from PD-affected patients enhances physical impairments compared to microbiota transplants from healthy human donors. These findings reveal that gut bacteria regulate movement disorders in mice and suggest that alterations in the human microbiome represent a risk factor for PD.
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                Author and article information

                Contributors
                kk@bio.ku.dk
                jiahuijue@genomics.cn
                maxiancang@163.com
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                31 March 2020
                31 March 2020
                2020
                : 11
                : 1612
                Affiliations
                [1 ]GRID grid.452438.c, Center for Translational Medicine, , The First Affiliated Hospital of Xi’an Jiaotong University, ; 277 Yanta West Road, Xi’an, 710061 China
                [2 ]ISNI 0000 0001 2034 1839, GRID grid.21155.32, BGI-Shenzhen, ; Shenzhen, 518083 China
                [3 ]China National Genebank, Shenzhen, 518120 China
                [4 ]ISNI 0000 0001 2034 1839, GRID grid.21155.32, Shenzhen Key Laboratory of Human Commensal Microorganisms and Health Research, BGI-Shenzhen, ; Shenzhen, 518083 China
                [5 ]BGI Education Center, University of Chinese Academy of Sciences, Shenzhen, 518083 China
                [6 ]GRID grid.452438.c, Department of Psychiatry, , The First Affiliated Hospital of Xi’an Jiaotong University, ; 277 Yanta West Road, Xi’an, 710061 China
                [7 ]GRID grid.452438.c, Center for Brain Science, , The First Affiliated Hospital of Xi’an Jiaotong University, ; 277 Yanta West Road, Xi’an, 710061 China
                [8 ]GRID grid.452438.c, Clinical Research Center for Psychiatric Medicine of Shaanxi Province, , The First Affiliated Hospital of Xi’an Jiaotong University, ; 277 Yanta West Road, Xi’an, 710061 China
                [9 ]Macau University of Science and Technology, Taipa, Macau, 999078 China
                [10 ]ISNI 0000 0001 2157 2938, GRID grid.17063.33, Department of Statistical Sciences, , University of Toronto, ; Toronto, Canada
                [11 ]ISNI 0000 0001 2150 1785, GRID grid.17088.36, Department of Statistics and Probability, , Michigan State University, ; East Lansing, USA
                [12 ]ISNI 0000 0001 2034 1839, GRID grid.21155.32, Shenzhen Engineering Laboratory of Detection and Intervention of Human Intestinal Microbiome, BGI-Shenzhen, ; Shenzhen, 518083 China
                [13 ]ISNI 0000 0001 2034 1839, GRID grid.21155.32, Shenzhen Key Laboratory of Cognition and Gene Research, BGI-Shenzhen, ; Shenzhen, 518083 China
                [14 ]James D. Watson Institute of Genome Sciences, Hangzhou, 310058 China
                [15 ]ISNI 0000 0001 0599 1243, GRID grid.43169.39, School of Forensic Medicine, , Xi’an Jiaotong University, ; 76 Yanta West Road, Xi’an, 710061 China
                [16 ]ISNI 0000 0004 0427 3161, GRID grid.10917.3e, Institute of Marine Research (IMR), ; P.O. Box 7800, 5020 Bergen, Norway
                [17 ]ISNI 0000 0001 0674 042X, GRID grid.5254.6, Laboratory of Genomics and Molecular Biomedicine, Department of Biology, , University of Copenhagen, ; Universitetsparken 13, 2100 Copenhagen, Denmark
                [18 ]ISNI 0000 0001 2181 8870, GRID grid.5170.3, Department of Biotechnology and Biomedicine, , Technical University of Denmark, ; 2800 Kgs, Lyngby, Denmark
                Author information
                http://orcid.org/0000-0003-3986-8803
                http://orcid.org/0000-0002-1312-717X
                http://orcid.org/0000-0003-0836-4397
                http://orcid.org/0000-0003-2765-2802
                http://orcid.org/0000-0002-5338-5173
                http://orcid.org/0000-0001-8951-6705
                http://orcid.org/0000-0002-6024-0917
                http://orcid.org/0000-0002-3592-126X
                http://orcid.org/0000-0002-7826-305X
                Article
                15457
                10.1038/s41467-020-15457-9
                7109134
                32235826
                b404b92a-381a-4a19-93d1-f65676dbd168
                © The Author(s) 2020

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 3 September 2019
                : 12 March 2020
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                © The Author(s) 2020

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                schizophrenia,risk factors
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                schizophrenia, risk factors

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