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      Salt-responsive gut commensal modulates T H17 axis and disease

      research-article
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          Abstract

          Western lifestyle with high salt consumption leads to hypertension and cardiovascular disease. High salt may additionally drive autoimmunity by inducing T helper (T H)17 cells, which may also contribute to hypertension. Induction of T H17 cells depends on the gut microbiota, yet the effect of salt on the gut microbiome is unknown. In mouse model systems, we show that high salt intake affects the gut microbiome, particularly by depleting Lactobacillus murinus. Consequently, L. murinus treatment prevents salt-induced aggravation of actively-induced experimental autoimmune encephalomyelitis and salt-sensitive hypertension, by modulating T H17 cells. In line with these findings, moderate high salt challenge in a pilot study in humans reduces intestinal survival of Lactobacillus spp. along with increased T H17 cells and blood pressure. Our results connect high salt intake to the gut-immune axis and highlight the gut microbiome as a potential therapeutic target to counteract salt-sensitive conditions.

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          Most cited references31

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          Dietary Fatty Acids Directly Impact Central Nervous System Autoimmunity via the Small Intestine.

          Growing empirical evidence suggests that nutrition and bacterial metabolites might impact the systemic immune response in the context of disease and autoimmunity. We report that long-chain fatty acids (LCFAs) enhanced differentiation and proliferation of T helper 1 (Th1) and/or Th17 cells and impaired their intestinal sequestration via p38-MAPK pathway. Alternatively, dietary short-chain FAs (SCFAs) expanded gut T regulatory (Treg) cells by suppression of the JNK1 and p38 pathway. We used experimental autoimmune encephalomyelitis (EAE) as a model of T cell-mediated autoimmunity to show that LCFAs consistently decreased SCFAs in the gut and exacerbated disease by expanding pathogenic Th1 and/or Th17 cell populations in the small intestine. Treatment with SCFAs ameliorated EAE and reduced axonal damage via long-lasting imprinting on lamina-propria-derived Treg cells. These data demonstrate a direct dietary impact on intestinal-specific, and subsequently central nervous system-specific, Th cell responses in autoimmunity, and thus might have therapeutic implications for autoimmune diseases such as multiple sclerosis.
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            Is Open Access

            The gut microbiota of rural papua new guineans: composition, diversity patterns, and ecological processes.

            Although recent research revealed an impact of westernization on diversity and composition of the human gut microbiota, the exact consequences on metacommunity characteristics are insufficiently understood, and the underlying ecological mechanisms have not been elucidated. Here, we have compared the fecal microbiota of adults from two non-industrialized regions in Papua New Guinea (PNG) with that of United States (US) residents. Papua New Guineans harbor communities with greater bacterial diversity, lower inter-individual variation, vastly different abundance profiles, and bacterial lineages undetectable in US residents. A quantification of the ecological processes that govern community assembly identified bacterial dispersal as the dominant process that shapes the microbiome in PNG but not in the US. These findings suggest that the microbiome alterations detected in industrialized societies might arise from modern lifestyle factors limiting bacterial dispersal, which has implications for human health and the development of strategies aimed to redress the impact of westernization.
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              Ionic immune suppression within the tumour microenvironment limits T cell effector function

              Tumours progress despite being infiltrated by tumour-specific effector T cells1. Tumours contain areas of cellular necrosis, which is associated with poor survival in a variety of cancers2. Here, we show that necrosis releases an intracellular ion, potassium, into the extracellular fluid of mouse and human tumours causing profound suppression of T cell effector function. We find that elevations in the extracellular potassium concentration [K+]e act to impair T cell receptor (TCR)-driven Akt-mTOR phosphorylation and effector programmes, this potassium-mediated suppression of Akt-mTOR signalling and T cell function is dependent upon the activity of the serine/threonine phosphatase PP2A3,4. While the suppressive effect mediated by elevated [K+]e is independent of changes in plasma membrane potential (V m), it does require an increase in intracellular potassium ([K+]i). Concordantly, ionic reprogramming of tumour-specific T cells through overexpression of the potassium channel Kv1.3 lowers [K+]i and improves effector functions in vitro and in vivo. Consequently, Kv1.3 T cell overexpression enhances tumour clearance and survival of melanoma-bearing mice. These results uncover a previously undescribed ionic checkpoint blocking T cell function within tumours and identify new strategies for cancer immunotherapy.
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                Author and article information

                Journal
                0410462
                6011
                Nature
                Nature
                Nature
                0028-0836
                1476-4687
                13 June 2018
                15 November 2017
                30 November 2017
                01 August 2018
                : 551
                : 7682
                : 585-589
                Affiliations
                [1 ]Experimental and Clinical Research Center, a joint cooperation of Max-Delbrück Center for Molecular Medicine and Charité-Universitätsmedizin Berlin, 13125 Berlin, Germany
                [2 ]Charité-Universitätsmedizin Berlin, 10117 Berlin, Germany
                [3 ]Max-Delbrück Center for Molecular Medicine in the Helmholtz Association, 13125 Berlin, Germany
                [4 ]DZHK (German Centre for Cardiovascular Research), partner site Berlin, Germany
                [5 ]Berlin Institute of Health (BIH), Berlin, Germany
                [6 ]Center for Microbiome Informatics and Therapeutics, and Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
                [7 ]Computational and Systems Biology Program, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
                [8 ]European Molecular Biology Laboratory, Structural and Computational Biology Unit, 69117 Heidelberg, Germany
                [9 ]Department of Neurology, Friedrich-Alexander-University Erlangen-Nuremberg, 91054 Erlangen, Germany
                [10 ]Integrative Proteomics and Metabolomics Platform, Berlin Institute for Medical Systems Biology BIMSB, 13125 Berlin, Germany
                [11 ]Berlin School of Integrative Oncology, Charité University Medicine Berlin, Germany
                [12 ]Institute of Microbiology, ETH Zurich, 8092 Zurich, Switzerland
                [13 ]European Molecular Biology Laboratory, Genome Biology Unit, 69117 Heidelberg, Germany
                [14 ]Institute of Clinical Microbiology and Hygiene, University Hospital of Regensburg, University of Regensburg, 93053 Regensburg, Germany
                [15 ]Lipidomix GmbH, 13125 Berlin, Germany
                [16 ]Translational Immunology, Department of Clinical Pathobiochemistry, Medical Faculty Carl Gustav Carus, TU Dresden, 01307 Dresden, Germany
                [17 ]Project Group 5, Robert Koch Institute, 38855 Wernigerode, Germany
                [18 ]Hannover Medical School, Institute for Laboratory Animal Science and Central Animal Facility, 30625 Hannover, Germany
                [19 ]Experimental Immunology Branch, National Cancer Institute, US National Institutes of Health, Bethesda, Maryland, USA
                [20 ]Division of Clinical Pharmacology, Vanderbilt University School of Medicine, Nashville, Tennessee, USA
                [21 ]Center for Regenerative Therapies Dresden (CRTD), 01307 Dresden, Germany
                [22 ]VIB Laboratory of Translational Immunomodulation, VIB Center for Inflammation Research (IRC), UHasselt, Campus Diepenbeek, 3590 Diepenbeek, Belgium
                [23 ]Molecular Medicine Partnership Unit, University of Heidelberg and European Molecular Biology Laboratory, 69120 Heidelberg, Germany
                [24 ]Department of Bioinformatics, Biocenter, University of Würzburg, 97074 Würzburg, Germany
                Author notes
                Correspondence and requests for materials should be addressed to dominik.mueller@ 123456mdc-berlin.de and ejalm@ 123456mit.edu .
                Article
                EMS74468
                10.1038/nature24628
                6070150
                29143823
                cea680d7-1943-48b2-b4b3-80f32f23cede

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