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      Modulating gut microbiota in a mouse model of Graves’ orbitopathy and its impact on induced disease

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          Abstract

          Background

          Graves’ disease (GD) is an autoimmune condition in which autoantibodies to the thyrotropin receptor (TSHR) cause hyperthyroidism. About 50% of GD patients also have Graves’ orbitopathy (GO), an intractable disease in which expansion of the orbital contents causes diplopia, proptosis and even blindness. Murine models of GD/GO, developed in different centres, demonstrated significant variation in gut microbiota composition which correlated with TSHR-induced disease heterogeneity. To investigate whether correlation indicates causation, we modified the gut microbiota to determine whether it has a role in thyroid autoimmunity. Female BALB/c mice were treated with either vancomycin, probiotic bacteria, human fecal material transfer (hFMT) from patients with severe GO or ddH2O from birth to immunization with TSHR-A subunit or beta-galactosidase (βgal; age ~ 6 weeks). Incidence and severity of GD (TSHR autoantibodies, thyroid histology, thyroxine level) and GO (orbital fat and muscle histology), lymphocyte phenotype, cytokine profile and gut microbiota were analysed at sacrifice (~ 22 weeks).

          Results

          In ddH2O-TSHR mice, 84% had pathological autoantibodies, 67% elevated thyroxine, 77% hyperplastic thyroids and 70% orbital pathology. Firmicutes were increased, and Bacteroidetes reduced relative to ddH2O-βgal; CCL5 was increased. The random forest algorithm at the genus level predicted vancomycin treatment with 100% accuracy but 74% and 70% for hFMT and probiotic, respectively. Vancomycin significantly reduced gut microbiota richness and diversity compared with all other groups; the incidence and severity of both GD and GO also decreased; reduced orbital pathology correlated positively with Akkermansia spp. whilst IL-4 levels increased. Mice receiving hFMT initially inherited their GO donors’ microbiota, and the severity of induced GD increased, as did the orbital brown adipose tissue volume in TSHR mice. Furthermore, genus Bacteroides, which is reduced in GD patients, was significantly increased by vancomycin but reduced in hFMT-treated mice. Probiotic treatment significantly increased CD25 + Treg cells in orbital draining lymph nodes but exacerbated induced autoimmune hyperthyroidism and GO.

          Conclusions

          These results strongly support a role for the gut microbiota in TSHR-induced disease. Whilst changes to the gut microbiota have a profound effect on quantifiable GD endocrine and immune factors, the impact on GO cellular changes is more nuanced. The findings have translational potential for novel, improved treatments.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s40168-020-00952-4.

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          Most cited references45

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          The SILVA ribosomal RNA gene database project: improved data processing and web-based tools

          SILVA (from Latin silva, forest, http://www.arb-silva.de) is a comprehensive web resource for up to date, quality-controlled databases of aligned ribosomal RNA (rRNA) gene sequences from the Bacteria, Archaea and Eukaryota domains and supplementary online services. The referred database release 111 (July 2012) contains 3 194 778 small subunit and 288 717 large subunit rRNA gene sequences. Since the initial description of the project, substantial new features have been introduced, including advanced quality control procedures, an improved rRNA gene aligner, online tools for probe and primer evaluation and optimized browsing, searching and downloading on the website. Furthermore, the extensively curated SILVA taxonomy and the new non-redundant SILVA datasets provide an ideal reference for high-throughput classification of data from next-generation sequencing approaches.
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            QIIME allows analysis of high-throughput community sequencing data.

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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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                Author and article information

                Contributors
                Anja.Eckstein@uk-essen.de
                Ludgate@cardiff.ac.uk
                Utta.Berchner-Pfannschmidt@uk-essen.de
                Journal
                Microbiome
                Microbiome
                Microbiome
                BioMed Central (London )
                2049-2618
                16 February 2021
                16 February 2021
                2021
                : 9
                : 45
                Affiliations
                [1 ]Molecular Ophthalmology, Department of Ophthalmology, University Hospital Essen, University of Duisburg-Essen, 45147 Essen, Germany
                [2 ]GRID grid.231844.8, ISNI 0000 0004 0474 0428, Current address: Latner Thoracic Surgery Laboratories, Toronto General Research Institute, , University Health Network and University of Toronto, ; Toronto, Canada
                [3 ]Institute of Medical Microbiology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
                [4 ]GRID grid.487139.0, Cultech Ltd., ; Baglan, Port Talbot, UK
                [5 ]GRID grid.5600.3, ISNI 0000 0001 0807 5670, Division of Infection & Immunity, School of Medicine, , Cardiff University, ; UHW main building, Heath Park, Cardiff, CF14 4XW UK
                [6 ]GRID grid.425375.2, ISNI 0000 0004 0604 0732, Department of Bioinformatics, , PTP Science Park Srl, ; Lodi, Italy
                [7 ]GRID grid.11696.39, ISNI 0000 0004 1937 0351, Current address: Computational metagenomics, Department CIBIO, , University of Trento, ; Trento, Italy
                [8 ]GRID grid.4708.b, ISNI 0000 0004 1757 2822, Graves’ Orbitopathy Center, Endocrinology, Department of Clinical Sciences and Community Health, , Fondazione Ca’Granda IRCCS, University of Milan, ; Milan, Italy
                [9 ]GRID grid.5326.2, ISNI 0000 0001 1940 4177, Italian National Research Council (CNR), ; Milano, Italy
                [10 ]Department of Ophthalmology, University Hospital Essen, University of Duisburg-Essen, 45147 Essen, Germany
                [11 ]GRID grid.13097.3c, ISNI 0000 0001 2322 6764, Department of Histopathology, , King’s College Hospital, King’s College, ; London, UK
                [12 ]GRID grid.5600.3, ISNI 0000 0001 0807 5670, School of Biosciences, , Cardiff University, ; Cardiff, UK
                [13 ]GRID grid.7445.2, ISNI 0000 0001 2113 8111, Department of Metabolism, Digestion and Reproduction, , Imperial College London, ; London, UK
                Author information
                http://orcid.org/0000-0002-7436-0821
                Article
                952
                10.1186/s40168-020-00952-4
                7888139
                33593429
                f3351db4-de59-4820-aad4-d922be5ea3e3
                © 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/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 5 November 2020
                : 6 December 2020
                Funding
                Funded by: FP7 People: Marie-Curie Actions IAPP
                Award ID: GA 612116
                Award Recipient :
                Categories
                Research
                Custom metadata
                © The Author(s) 2021

                graves’ disease,graves’ orbitopathy,murine model,gut microbiota,microbiome modulation,vancomycin,probiotics,human fecal microbiota transplant

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