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      Hypoxia determines survival outcomes of bacterial infection through HIF-1α–dependent reprogramming of leukocyte metabolism

      1 , 2 , 2 , 3 , 1 , 4 , 2 , 1 , 1 , 2 , 2 , 2 , 2 , 2 , 4 , 4 , 4 , 1 , 1 , 1 , 1 , 5 , 6 , 5 , 6 , 2 , 7 , 8 , 7 , 8 , 7 , 8 , 9 , 10 , 10 , 11 , 1 , 11 , 3 , 2 , 2
      Science Immunology
      American Association for the Advancement of Science (AAAS)

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          Abstract

          Infection outcomes are regulated by neutrophil responses to oxygen and nutrient availability.

          Hypoxic immune cell conditioning

          Oxygen deficiency, or hypoxia, has been shown to alter immune cell function. However, how these hypoxia-induced immune cell changes affect the host response to bacterial infection has remained unclear. Now, Thompson et al. report that although acute hypoxia accentuated morbidity and mortality as a result of bacterial infection in mice, chronic hypoxia before infection could actually prevent these pathological responses. This hypoxic preconditioning reduced neutrophil glucose utilization, decreasing the related pathology. If these findings hold true in humans, they suggest that immune targeting could aid patients with systemic hypoxia and chronic infections such as adult respiratory distress syndrome or chronic obstructive pulmonary disease.

          Abstract

          Hypoxia and bacterial infection frequently coexist, in both acute and chronic clinical settings, and typically result in adverse clinical outcomes. To ameliorate this morbidity, we investigated the interaction between hypoxia and the host response. In the context of acute hypoxia, both Staphylococcus aureus and Streptococcus pneumoniae infections rapidly induced progressive neutrophil-mediated morbidity and mortality, with associated hypothermia and cardiovascular compromise. Preconditioning animals through longer exposures to hypoxia, before infection, prevented these pathophysiological responses and profoundly dampened the transcriptome of circulating leukocytes. Specifically, perturbation of hypoxia-inducible factor (HIF) pathway and glycolysis genes by hypoxic preconditioning was associated with reduced leukocyte glucose utilization, resulting in systemic rescue from a global negative energy state and myocardial protection. Thus, we demonstrate that hypoxia preconditions the innate immune response and determines survival outcomes after bacterial infection through suppression of HIF-1α and neutrophil metabolism. In the context of systemic or tissue hypoxia, therapies that target the host response could improve infection-associated morbidity and mortality.

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          Most cited references44

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          Succinate is an inflammatory signal that induces IL-1β through HIF-1α.

          Macrophages activated by the Gram-negative bacterial product lipopolysaccharide switch their core metabolism from oxidative phosphorylation to glycolysis. Here we show that inhibition of glycolysis with 2-deoxyglucose suppresses lipopolysaccharide-induced interleukin-1β but not tumour-necrosis factor-α in mouse macrophages. A comprehensive metabolic map of lipopolysaccharide-activated macrophages shows upregulation of glycolytic and downregulation of mitochondrial genes, which correlates directly with the expression profiles of altered metabolites. Lipopolysaccharide strongly increases the levels of the tricarboxylic-acid cycle intermediate succinate. Glutamine-dependent anerplerosis is the principal source of succinate, although the 'GABA (γ-aminobutyric acid) shunt' pathway also has a role. Lipopolysaccharide-induced succinate stabilizes hypoxia-inducible factor-1α, an effect that is inhibited by 2-deoxyglucose, with interleukin-1β as an important target. Lipopolysaccharide also increases succinylation of several proteins. We therefore identify succinate as a metabolite in innate immune signalling, which enhances interleukin-1β production during inflammation.
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            mTOR- and HIF-1α-mediated aerobic glycolysis as metabolic basis for trained immunity.

            Epigenetic reprogramming of myeloid cells, also known as trained immunity, confers nonspecific protection from secondary infections. Using histone modification profiles of human monocytes trained with the Candida albicans cell wall constituent β-glucan, together with a genome-wide transcriptome, we identified the induced expression of genes involved in glucose metabolism. Trained monocytes display high glucose consumption, high lactate production, and a high ratio of nicotinamide adenine dinucleotide (NAD(+)) to its reduced form (NADH), reflecting a shift in metabolism with an increase in glycolysis dependent on the activation of mammalian target of rapamycin (mTOR) through a dectin-1-Akt-HIF-1α (hypoxia-inducible factor-1α) pathway. Inhibition of Akt, mTOR, or HIF-1α blocked monocyte induction of trained immunity, whereas the adenosine monophosphate-activated protein kinase activator metformin inhibited the innate immune response to fungal infection. Mice with a myeloid cell-specific defect in HIF-1α were unable to mount trained immunity against bacterial sepsis. Our results indicate that induction of aerobic glycolysis through an Akt-mTOR-HIF-1α pathway represents the metabolic basis of trained immunity. Copyright © 2014, American Association for the Advancement of Science.
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              Network integration of parallel metabolic and transcriptional data reveals metabolic modules that regulate macrophage polarization.

              Macrophage polarization involves a coordinated metabolic and transcriptional rewiring that is only partially understood. By using an integrated high-throughput transcriptional-metabolic profiling and analysis pipeline, we characterized systemic changes during murine macrophage M1 and M2 polarization. M2 polarization was found to activate glutamine catabolism and UDP-GlcNAc-associated modules. Correspondingly, glutamine deprivation or inhibition of N-glycosylation decreased M2 polarization and production of chemokine CCL22. In M1 macrophages, we identified a metabolic break at Idh, the enzyme that converts isocitrate to alpha-ketoglutarate, providing mechanistic explanation for TCA cycle fragmentation. (13)C-tracer studies suggested the presence of an active variant of the aspartate-arginosuccinate shunt that compensated for this break. Consistently, inhibition of aspartate-aminotransferase, a key enzyme of the shunt, inhibited nitric oxide and interleukin-6 production in M1 macrophages, while promoting mitochondrial respiration. This systems approach provides a highly integrated picture of the physiological modules supporting macrophage polarization, identifying potential pharmacologic control points for both macrophage phenotypes.
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                Author and article information

                Journal
                Science Immunology
                Sci. Immunol.
                American Association for the Advancement of Science (AAAS)
                2470-9468
                February 24 2017
                February 24 2017
                : 2
                : 8
                Affiliations
                [1 ]Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, U.K.
                [2 ]Medical Research Council/University of Edinburgh Centre for Inflammation Research, Queen’s Medical Research Institute, University of Edinburgh, Edinburgh, U.K.
                [3 ]Medical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, U.K.
                [4 ]University of Edinburgh/British Heart Foundation Centre for Cardiovascular Science, Queen’s Medical Research Institute, University of Edinburgh, Edinburgh, U.K.
                [5 ]Laboratory of Molecular Oncology and Angiogenesis, Vesalius Research Center, VIB, Leuven B3000, Belgium.
                [6 ]Laboratory of Molecular Oncology and Angiogenesis, Vesalius Research Center, Department of Oncology, KU Leuven, Leuven B3000, Belgium.
                [7 ]Laboratory of Angiogenesis and Vascular Metabolism, Vesalius Research Centre, VIB, Leuven B3000, Belgium.
                [8 ]Laboratory of Angiogenesis and Vascular Metabolism, Vesalius Research Centre, KU Leuven, Leuven B3000, Belgium.
                [9 ]Department of Molecular Biology and Biotechnology, University of Sheffield, Sheffield, U.K.
                [10 ]Department of Medicine, University of Cambridge, Cambridge, U.K.
                [11 ]Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, U.K.
                Article
                10.1126/sciimmunol.aal2861
                5380213
                28386604
                d3c677b7-96dc-4cfa-868d-96b5fc475c2a
                © 2017
                History

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