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      Metabolomics for Investigating Physiological and Pathophysiological Processes

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      Physiological Reviews
      American Physiological Society

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          Abstract

          Metabolomics uses advanced analytical chemistry techniques to enable the high-throughput characterization of metabolites from cells, organs, tissues, or biofluids. The rapid growth in metabolomics is leading to a renewed interest in metabolism and the role that small molecule metabolites play in many biological processes. As a result, traditional views of metabolites as being simply the “bricks and mortar” of cells or just the fuel for cellular energetics are being upended. Indeed, metabolites appear to have much more varied and far more important roles as signaling molecules, immune modulators, endogenous toxins, and environmental sensors. This review explores how metabolomics is yielding important new insights into a number of important biological and physiological processes. In particular, a major focus is on illustrating how metabolomics and discoveries made through metabolomics are improving our understanding of both normal physiology and the pathophysiology of many diseases. These discoveries are yielding new insights into how metabolites influence organ function, immune function, nutrient sensing, and gut physiology. Collectively, this work is leading to a much more unified and system-wide perspective of biology wherein metabolites, proteins, and genes are understood to interact synergistically to modify the actions and functions of organelles, organs, and organisms.

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          Author and article information

          Journal
          Physiological Reviews
          Physiological Reviews
          American Physiological Society
          0031-9333
          1522-1210
          October 01 2019
          October 01 2019
          : 99
          : 4
          : 1819-1875
          Affiliations
          [1 ]Departments of Biological Sciences and Computing Science, University of Alberta, Edmonton, Alberta, Canada
          Article
          10.1152/physrev.00035.2018
          31434538
          af11fe7a-aa5c-4a3b-8439-221e322594d0
          © 2019
          History

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