19
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Restriction of essential amino acids dictates the systemic metabolic response to dietary protein dilution

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Dietary protein dilution (DPD) promotes metabolic-remodelling and -health but the precise nutritional components driving this response remain elusive. Here, by mimicking amino acid (AA) supply from a casein-based diet, we demonstrate that restriction of dietary essential AA (EAA), but not non-EAA, drives the systemic metabolic response to total AA deprivation; independent from dietary carbohydrate supply. Furthermore, systemic deprivation of threonine and tryptophan, independent of total AA supply, are both adequate and necessary to confer the systemic metabolic response to both diet, and genetic AA-transport loss, driven AA restriction. Dietary threonine restriction (DTR) retards the development of obesity-associated metabolic dysfunction. Liver-derived fibroblast growth factor 21 is required for the metabolic remodelling with DTR. Strikingly, hepatocyte-selective establishment of threonine biosynthetic capacity reverses the systemic metabolic response to DTR. Taken together, our studies of mice demonstrate that the restriction of EAA are sufficient and necessary to confer the systemic metabolic effects of DPD.

          Abstract

          Dietary protein dilution, where protein is reduced and replaced by other nutrient sources without caloric restriction, promotes metabolic health via the hepatokine Fgf21. Here, the authors show that essential amino acids threonine and tryptophan are necessary and sufficient to induce these effects.

          Related collections

          Most cited references70

          • Record: found
          • Abstract: found
          • Article: found
          Is Open Access

          Highly sensitive feature detection for high resolution LC/MS

          Background Liquid chromatography coupled to mass spectrometry (LC/MS) is an important analytical technology for e.g. metabolomics experiments. Determining the boundaries, centres and intensities of the two-dimensional signals in the LC/MS raw data is called feature detection. For the subsequent analysis of complex samples such as plant extracts, which may contain hundreds of compounds, corresponding to thousands of features – a reliable feature detection is mandatory. Results We developed a new feature detection algorithm centWave for high-resolution LC/MS data sets, which collects regions of interest (partial mass traces) in the raw-data, and applies continuous wavelet transformation and optionally Gauss-fitting in the chromatographic domain. We evaluated our feature detection algorithm on dilution series and mixtures of seed and leaf extracts, and estimated recall, precision and F-score of seed and leaf specific features in two experiments of different complexity. Conclusion The new feature detection algorithm meets the requirements of current metabolomics experiments. centWave can detect close-by and partially overlapping features and has the highest overall recall and precision values compared to the other algorithms, matchedFilter (the original algorithm of XCMS) and the centroidPicker from MZmine. The centWave algorithm was integrated into the Bioconductor R-package XCMS and is available from
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            MZmine: toolbox for processing and visualization of mass spectrometry based molecular profile data.

            New additional methods are presented for processing and visualizing mass spectrometry based molecular profile data, implemented as part of the recently introduced MZmine software. They include new features and extensions such as support for mzXML data format, capability to perform batch processing for large number of files, support for parallel processing, new methods for calculating peak areas using post-alignment peak picking algorithm and implementation of Sammon's mapping and curvilinear distance analysis for data visualization and exploratory analysis. MZmine is available under GNU Public license from http://mzmine.sourceforge.net/.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found
              Is Open Access

              Decreased Consumption of Branched-Chain Amino Acids Improves Metabolic Health.

              Protein-restricted (PR), high-carbohydrate diets improve metabolic health in rodents, yet the precise dietary components that are responsible for these effects have not been identified. Furthermore, the applicability of these studies to humans is unclear. Here, we demonstrate in a randomized controlled trial that a moderate PR diet also improves markers of metabolic health in humans. Intriguingly, we find that feeding mice a diet specifically reduced in branched-chain amino acids (BCAAs) is sufficient to improve glucose tolerance and body composition equivalently to a PR diet via metabolically distinct pathways. Our results highlight a critical role for dietary quality at the level of amino acids in the maintenance of metabolic health and suggest that diets specifically reduced in BCAAs, or pharmacological interventions in this pathway, may offer a translatable way to achieve many of the metabolic benefits of a PR diet.
                Bookmark

                Author and article information

                Contributors
                adam.rose@monash.edu
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                9 June 2020
                9 June 2020
                2020
                : 11
                : 2894
                Affiliations
                [1 ]ISNI 0000 0004 1936 7857, GRID grid.1002.3, Department of Biochemistry and Molecular Biology, Metabolism, Diabetes and Obesity Program, Biomedicine Discovery Institute, , Monash University, ; Clayton, VIC 3800 Australia
                [2 ]ISNI 0000 0001 2179 088X, GRID grid.1008.9, Department of Medicine (Austin Health), , University of Melbourne, ; Heidelberg, VIC 3084 Australia
                [3 ]ISNI 0000 0001 0328 4908, GRID grid.5253.1, Department of Internal Medicine III, , University Hospital Heidelberg, ; Heidelberg, Germany
                [4 ]ISNI 0000 0004 5937 5237, GRID grid.452396.f, German Center for Cardiovascular Research (DZHK), ; Partner sites Kiel and Heidelberg, Germany
                [5 ]ISNI 0000 0004 1936 834X, GRID grid.1013.3, Charles Perkins Centre, School of Life and Environmental Sciences, , University of Sydney, ; Sydney, NSW Australia
                [6 ]ISNI 0000 0004 1936 7857, GRID grid.1002.3, Biomedical Proteomics and Metabolomics Facility and the Department of Biochemistry and Molecular Biology, Biomedicine Discovery Institute, , Monash University, ; Clayton, VIC 3800 Australia
                [7 ]ISNI 0000 0004 1936 7857, GRID grid.1002.3, Monash Institute of Pharmaceutical Sciences, , Monash University, ; Melbourne, VIC 3052 Australia
                [8 ]ISNI 0000 0001 2167 7588, GRID grid.11749.3a, Institute for Biochemistry, Centre for Human and Molecular Biology (ZHMB), , Saarland University, ; 66123 Saarbrücken, Germany
                [9 ]Sanofi-Aventis Deutschland GmbH, Industriepark Hoechst, Frankfurt am Main, 65926 Germany
                [10 ]ISNI 0000 0001 0674 042X, GRID grid.5254.6, Section of Molecular Physiology, Department of Nutrition, Exercise and Sports, Faculty of Science, , University of Copenhagen, ; 2100 Copenhagen, Denmark
                [11 ]ISNI 0000 0004 1936 7857, GRID grid.1002.3, School of Biological Sciences, School of Life and Environmental Sciences, , Monash University, ; Clayton, VIC 3800 Australia
                [12 ]ISNI 0000 0004 0492 0584, GRID grid.7497.d, Division of Chronic Inflammation and Cancer, , German Cancer Research Center, ; 69120 Heidelberg, Germany
                [13 ]ISNI 0000 0001 2180 7477, GRID grid.1001.0, Research School of Biology, , Australian National University, ; Canberra, ACT 0200 Australia
                [14 ]ISNI 0000 0001 2153 9986, GRID grid.9764.c, Department of Internal Medicine III, , University of Kiel, ; Kiel, Germany
                Author information
                http://orcid.org/0000-0001-7210-1976
                http://orcid.org/0000-0003-0608-958X
                http://orcid.org/0000-0002-4575-1233
                http://orcid.org/0000-0001-8738-1878
                http://orcid.org/0000-0001-9393-1071
                http://orcid.org/0000-0001-5705-5625
                http://orcid.org/0000-0003-0256-7687
                http://orcid.org/0000-0002-8040-1634
                http://orcid.org/0000-0001-8223-2638
                http://orcid.org/0000-0001-9132-8244
                Article
                16568
                10.1038/s41467-020-16568-z
                7283339
                32518324
                a98b6282-67a5-494b-8ce7-edf42a78752e
                © The Author(s) 2020

                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
                : 24 October 2019
                : 12 May 2020
                Categories
                Article
                Custom metadata
                © The Author(s) 2020

                Uncategorized
                gastrointestinal hormones,homeostasis
                Uncategorized
                gastrointestinal hormones, homeostasis

                Comments

                Comment on this article