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      Fructose reprogrammes glutamine-dependent oxidative metabolism to support LPS-induced inflammation

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          Abstract

          Fructose intake has increased substantially throughout the developed world and is associated with obesity, type 2 diabetes and non-alcoholic fatty liver disease. Currently, our understanding of the metabolic and mechanistic implications for immune cells, such as monocytes and macrophages, exposed to elevated levels of dietary fructose is limited. Here, we show that fructose reprograms cellular metabolic pathways to favour glutaminolysis and oxidative metabolism, which are required to support increased inflammatory cytokine production in both LPS-treated human monocytes and mouse macrophages. A fructose-dependent increase in mTORC1 activity drives translation of pro-inflammatory cytokines in response to LPS. LPS-stimulated monocytes treated with fructose rely heavily on oxidative metabolism and have reduced flexibility in response to both glycolytic and mitochondrial inhibition, suggesting glycolysis and oxidative metabolism are inextricably coupled in these cells. The physiological implications of fructose exposure are demonstrated in a model of LPS-induced systemic inflammation, with mice exposed to fructose having increased levels of circulating IL-1β after LPS challenge. Taken together, our work underpins a pro-inflammatory role for dietary fructose in LPS-stimulated mononuclear phagocytes which occurs at the expense of metabolic flexibility.

          Abstract

          Myeloid cells are able to utilize a variety of monosaccharides from our diet, including fructose. Here the authors show that when monocytes are reliant on fructose as a carbon energy source they are reprogrammed towards oxidative metabolism, glutamine anaplerosis and a pro-inflammatory phenotype owing to excess pro-inflammatory cytokine production.

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          Most cited references48

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          Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

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            Fiji: an open-source platform for biological-image analysis.

            Fiji is a distribution of the popular open-source software ImageJ focused on biological-image analysis. Fiji uses modern software engineering practices to combine powerful software libraries with a broad range of scripting languages to enable rapid prototyping of image-processing algorithms. Fiji facilitates the transformation of new algorithms into ImageJ plugins that can be shared with end users through an integrated update system. We propose Fiji as a platform for productive collaboration between computer science and biology research communities.
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              featureCounts: an efficient general purpose program for assigning sequence reads to genomic features.

              Next-generation sequencing technologies generate millions of short sequence reads, which are usually aligned to a reference genome. In many applications, the key information required for downstream analysis is the number of reads mapping to each genomic feature, for example to each exon or each gene. The process of counting reads is called read summarization. Read summarization is required for a great variety of genomic analyses but has so far received relatively little attention in the literature. We present featureCounts, a read summarization program suitable for counting reads generated from either RNA or genomic DNA sequencing experiments. featureCounts implements highly efficient chromosome hashing and feature blocking techniques. It is considerably faster than existing methods (by an order of magnitude for gene-level summarization) and requires far less computer memory. It works with either single or paired-end reads and provides a wide range of options appropriate for different sequencing applications. featureCounts is available under GNU General Public License as part of the Subread (http://subread.sourceforge.net) or Rsubread (http://www.bioconductor.org) software packages.
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                Author and article information

                Contributors
                emma.vincent@bristol.ac.uk
                c.a.thornton@swansea.ac.uk
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                22 February 2021
                22 February 2021
                2021
                : 12
                : 1209
                Affiliations
                [1 ]GRID grid.4827.9, ISNI 0000 0001 0658 8800, Institute of Life Science, Swansea University Medical School, , Swansea University, ; Swansea, UK
                [2 ]GRID grid.451388.3, ISNI 0000 0004 1795 1830, The Francis Crick Institute, ; London, UK
                [3 ]GRID grid.5337.2, ISNI 0000 0004 1936 7603, Cellular and Molecular Medicine, , University of Bristol, ; Bristol, UK
                [4 ]GRID grid.5337.2, ISNI 0000 0004 1936 7603, MRC Integrative Epidemiology Unit, , University of Bristol, ; Bristol, UK
                [5 ]GRID grid.8217.c, ISNI 0000 0004 1936 9705, School of Biochemistry and Immunology, Trinity Biomedical Sciences Institute, , Trinity College Dublin, ; Dublin, Ireland
                [6 ]GRID grid.18887.3e, ISNI 0000000417581884, San Raffaele Telethon Institute for Gene Therapy, , San Raffaele Scientific Institute, ; Milan, Italy
                Author information
                http://orcid.org/0000-0003-4846-5117
                http://orcid.org/0000-0002-2176-5120
                http://orcid.org/0000-0002-0590-9462
                http://orcid.org/0000-0002-0125-4841
                http://orcid.org/0000-0002-7365-1766
                http://orcid.org/0000-0002-8917-7384
                Article
                21461
                10.1038/s41467-021-21461-4
                7900179
                33619282
                f524bed0-6f94-4ece-a993-953648139ece
                © The Author(s) 2021

                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
                : 29 April 2020
                : 14 January 2021
                Categories
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                Custom metadata
                © The Author(s) 2021

                Uncategorized
                metabolomics,phagocytes
                Uncategorized
                metabolomics, phagocytes

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