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      Selected Clostridia Strains from The Human Microbiota and their Metabolite, Butyrate, Improve Experimental Autoimmune Encephalomyelitis

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          Abstract

          Gut microbiome studies in multiple sclerosis (MS) patients are unravelling some consistent but modest patterns of gut dysbiosis. Among these, a significant decrease of Clostridia cluster IV and XIVa has been reported. In the present study, we investigated the therapeutic effect of a previously selected mixture of human gut-derived 17 Clostridia strains, which belong to Clostridia clusters IV, XIVa, and XVIII, on the clinical outcome of experimental autoimmune encephalomyelitis (EAE). The observed clinical improvement was related to lower demyelination and astrocyte reactivity as well as a tendency to lower microglia reactivity/infiltrating macrophages and axonal damage in the central nervous system (CNS), and to an enhanced immunoregulatory response of regulatory T cells in the periphery. Transcriptome studies also highlighted increased antiinflammatory responses related to interferon beta in the periphery and lower immune responses in the CNS. Since Clostridia-treated mice were found to present higher levels of the immunomodulatory short-chain fatty acid (SCFA) butyrate in the serum, we studied if this clinical effect could be reproduced by butyrate administration alone. Further EAE experiments proved its preventive but slight therapeutic impact on CNS autoimmunity. Thus, this smaller therapeutic effect highlighted that the Clostridia-induced clinical effect was not exclusively related to the SCFA and could not be reproduced by butyrate administration alone. Although it is still unknown if these Clostridia strains will have the same effect on MS patients, gut dysbiosis in MS patients could be partially rebalanced by these commensal bacteria and their immunoregulatory properties could have a beneficial effect on MS clinical course.

          Supplementary Information

          The online version contains supplementary material available at 10.1007/s13311-021-01016-7.

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          Most cited references31

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          Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles

          Although genomewide RNA expression analysis has become a routine tool in biomedical research, extracting biological insight from such information remains a major challenge. Here, we describe a powerful analytical method called Gene Set Enrichment Analysis (GSEA) for interpreting gene expression data. The method derives its power by focusing on gene sets, that is, groups of genes that share common biological function, chromosomal location, or regulation. We demonstrate how GSEA yields insights into several cancer-related data sets, including leukemia and lung cancer. Notably, where single-gene analysis finds little similarity between two independent studies of patient survival in lung cancer, GSEA reveals many biological pathways in common. The GSEA method is embodied in a freely available software package, together with an initial database of 1,325 biologically defined gene sets.
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            Metabolites produced by commensal bacteria promote peripheral regulatory T cell generation

            Intestinal microbes provide multicellular hosts with nutrients and confer resistance to infection. The delicate balance between pro- and anti-inflammatory mechanisms, essential for gut immune homeostasis, is affected by the composition of the commensal microbial community. Regulatory T (Treg) cells expressing transcription factor Foxp3 play a key role in limiting inflammatory responses in the intestine 1 . Although specific members of the commensal microbial community have been found to potentiate the generation of anti-inflammatory Treg or pro-inflammatory Th17 cells 2-6 , the molecular cues driving this process remain elusive. Considering the vital metabolic function afforded by commensal microorganisms, we hypothesized that their metabolic by-products are sensed by cells of the immune system and affect the balance between pro- and anti-inflammatory cells. We found that a short-chain fatty acid (SCFA), butyrate, produced by commensal microorganisms during starch fermentation, facilitated extrathymic generation of Treg cells. A boost in Treg cell numbers upon provision of butyrate was due to potentiation of extrathymic differentiation of Treg cells as the observed phenomenon was dependent upon intronic enhancer CNS1, essential for extrathymic, but dispensable for thymic Treg cell differentiation 1, 7 . In addition to butyrate, de novo Treg cell generation in the periphery was potentiated by propionate, another SCFA of microbial origin capable of HDAC inhibition, but not acetate, lacking this activity. Our results suggest that bacterial metabolites mediate communication between the commensal microbiota and the immune system, affecting the balance between pro- and anti-inflammatory mechanisms.
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              The Reactome Pathway Knowledgebase

              Abstract The Reactome Knowledgebase (https://reactome.org) provides molecular details of signal transduction, transport, DNA replication, metabolism, and other cellular processes as an ordered network of molecular transformations—an extended version of a classic metabolic map, in a single consistent data model. Reactome functions both as an archive of biological processes and as a tool for discovering unexpected functional relationships in data such as gene expression profiles or somatic mutation catalogues from tumor cells. To support the continued brisk growth in the size and complexity of Reactome, we have implemented a graph database, improved performance of data analysis tools, and designed new data structures and strategies to boost diagram viewer performance. To make our website more accessible to human users, we have improved pathway display and navigation by implementing interactive Enhanced High Level Diagrams (EHLDs) with an associated icon library, and subpathway highlighting and zooming, in a simplified and reorganized web site with adaptive design. To encourage re-use of our content, we have enabled export of pathway diagrams as ‘PowerPoint’ files.
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                Author and article information

                Contributors
                carmen.espejo@vhir.org
                Journal
                Neurotherapeutics
                Neurotherapeutics
                Neurotherapeutics
                Springer International Publishing (Cham )
                1933-7213
                1878-7479
                7 April 2021
                7 April 2021
                April 2021
                : 18
                : 2
                : 920-937
                Affiliations
                [1 ]GRID grid.411083.f, ISNI 0000 0001 0675 8654, Servei de Neurologia-Neuroimmunologia, , Vall d’Hebron Institut de Recerca, Hospital Universitari Vall d’Hebron, Centre d’Esclerosi Múltiple de Catalunya, ; Pg. Vall d’Hebron 119-129, 08035 Barcelona, Spain
                [2 ]GRID grid.7080.f, Universitat Autònoma de Barcelona, ; 08193 Bellaterra Cerdanyola del Vallès, Spain
                [3 ]Red Española de Esclerosis Múltiple (REEM), Instituto de Salud Carlos III, Ministerio de Economía y Competitividad, Fondo de Investigación Sanitaria, Madrid, Spain
                [4 ]GRID grid.411083.f, ISNI 0000 0001 0675 8654, Servei de Microbiologia, , Hospital Universitari Vall d’Hebron, ; Pg. Vall d’Hebron 119-129, 08035 Barcelona, Spain
                [5 ]GRID grid.419043.b, ISNI 0000 0001 2177 5516, Grupo de Neuroinmunología, Departamento de Neurobiología Funcional y de Sistemas, , Instituto Cajal, CSIC, ; Avda. Doctor Arce 37, 28002 Madrid, Spain
                [6 ]GRID grid.473520.7, ISNI 0000 0004 0580 7575, Department of Food Biotechnology and Microbiology, , Instituto de Investigación en Ciencias de la Alimentación, CIAL (CSIC-UAM), ; C/ Nicolás Cabrera 9, 28049 Madrid, Spain
                [7 ]GRID grid.509459.4, ISNI 0000 0004 0472 0267, RIKEN Center for Integrative Medical Sciences, ; 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama, Kanagawa 230-0045 Japan
                Author information
                http://orcid.org/0000-0001-9949-5901
                Article
                1016
                10.1007/s13311-021-01016-7
                8423884
                33829410
                897ec65d-504c-4f65-b273-0483399ebfd9
                © The Author(s) 2021

                Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 26 January 2021
                Categories
                Original Article
                Custom metadata
                © The American Society for Experimental NeuroTherapeutics, Inc. 2021

                Neurology
                gut microbiota,clostridia strains,short-chain fatty acid,immune regulation,experimental autoimmune encephalomyelitis,multiple sclerosis

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