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      Little Fish, Big Data: Zebrafish as a Model for Cardiovascular and Metabolic Disease

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          Abstract

          The burden of cardiovascular and metabolic diseases worldwide is staggering. The emergence of systems approaches in biology promises new therapies, faster and cheaper diagnostics, and personalized medicine. However, a profound understanding of pathogenic mechanisms at the cellular and molecular levels remains a fundamental requirement for discovery and therapeutics. Animal models of human disease are cornerstones of drug discovery as they allow identification of novel pharmacological targets by linking gene function with pathogenesis. The zebrafish model has been used for decades to study development and pathophysiology. More than ever, the specific strengths of the zebrafish model make it a prime partner in an age of discovery transformed by big-data approaches to genomics and disease. Zebrafish share a largely conserved physiology and anatomy with mammals. They allow a wide range of genetic manipulations, including the latest genome engineering approaches. They can be bred and studied with remarkable speed, enabling a range of large-scale phenotypic screens. Finally, zebrafish demonstrate an impressive regenerative capacity scientists hope to unlock in humans. Here, we provide a comprehensive guide on applications of zebrafish to investigate cardiovascular and metabolic diseases. We delineate advantages and limitations of zebrafish models of human disease and summarize their most significant contributions to understanding disease progression to date.

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          Author and article information

          Journal
          Physiol Rev
          Physiol. Rev
          physrev
          physrev
          PHYSREV
          Physiological Reviews
          American Physiological Society (Bethesda, MD )
          0031-9333
          1522-1210
          1 July 2017
          3 May 2017
          1 July 2018
          : 97
          : 3
          : 889-938
          Affiliations
          Nestlé Institute of Health Sciences, EPFL Innovation Park, Lausanne, Switzerland; Max Planck Institute for Heart and Lung Research , Bad Nauheim, Germany; and Cardiovascular Research Institute and Division of Cardiology, Department of Medicine, University of California San Francisco , San Francisco, California
          Article
          PMC5817164 PMC5817164 5817164 PRV-00038-2016 PRV-00038-2016
          10.1152/physrev.00038.2016
          5817164
          28468832
          6954de6a-4679-4d3c-891e-a758ee0cf94e
          Copyright © 2017 the American Physiological Society
          History
          : 2 November 2016
          : 9 January 2017
          : 10 January 2017
          Funding
          Funded by: http://doi.org/10.13039/501100004189 Max-Planck-Gesellschaft (Max Planck Society)
          Funded by: http://doi.org/10.13039/100000050 HHS | NIH | National Heart, Lung, and Blood Institute (NHBLI)
          Award ID: K08HL125945
          Funded by: http://doi.org/10.13039/100000968 American Heart Association (AHA)
          Award ID: 15GPSPG238300004
          Categories
          Review

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