Biology-inspired microphysiological system approaches to solve the prediction dilemma of substance testing

Authors

  • Uwe Marx TissUse GmbH, Berlin, Germany
  • Tommy B. Andersson AstraZeneca, Cardiovascular and Metabolic Diseases, Innovative Medicines and Early Development Biotech Unit, Mölndal, Sweden; Section of Pharmacogenetics, Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden
  • Anthony Bahinski Wyss Institute for Biologically Inspired Engineering at Harvard University, Boston, MA, USA
  • Mario Beilmann Boehringer Ingelheim Pharma GmbH & Co. KG, Non-clinical Drug Safety, Biberach, Germany
  • Sonja Beken Federal Agency for Medicines and Health Products, Brussels, Belgium
  • Flemming R. Cassee National Institute for Public Health & the Environment, Bilthoven, The Netherlands; Institute for Risk Assessment Science, Utrecht University, The Netherlands
  • Murat Cirit Massachusetts Institute of Technology, Cambridge, MA, USA
  • Mardas Daneshian Center for Alternatives to Animal Testing-Europe, University of Konstanz, Konstanz, Germany
  • Susan Fitzpatrick US Food and Drug Administration, Center for Food Safety and Applied Nutrition, College Park, MD, USA
  • Olivier Frey ETH Zurich, Dept. Biosystems Science and Engineering, Bio Engineering Laboratory, Basel, Switzerland
  • Claudia Gaertner microfluidic ChipShop GmbH, Jena, Germany
  • Christoph Giese ProBioGen AG, Berlin, Germany
  • Linda Griffith Massachusetts Institute of Technology, Cambridge, MA, USA
  • Thomas Hartung Center for Alternatives to Animal Testing-Europe, University of Konstanz, Konstanz, Germany; Center for Alternatives to Animal Testing, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
  • Minne B. Heringa National Institute for Public Health & the Environment, Bilthoven, The Netherlands
  • Julia Hoeng Philip Morris International R&D, Neuchâtel, Switzerland
  • Wim H. de Jong National Institute for Public Health & the Environment, Bilthoven, The Netherlands
  • Hajime Kojima Japanese Center for Validation of Animal Methods, Tokyo, Japan
  • Jochen Kuehnl Beiersdorf, Hamburg, Germany
  • Marcel Leist Center for Alternatives to Animal Testing-Europe, University of Konstanz, Konstanz, Germany
  • Andreas Luch German Federal Institute for Risk Assessment, Department of Chemicals and Product Safety, Berlin, Germany
  • Ilka Maschmeyer TissUse GmbH, Berlin, Germany
  • Dmitry Sakharov Scientific Research Centre Bioclinicum, Moscow, Russia
  • Adrienne J. A. M. Sips National Institute for Public Health & the Environment, Bilthoven, The Netherlands
  • Thomas Steger-Hartmann Bayer, Investigational Toxicology, Berlin, Germany
  • Danilo A. Tagle National Center for Advancing Translational Sciences, National Institutes of Health, Bethesda, MD, USA
  • Alexander Tonevitsky National Center of Medical Radiological Research, Moscow, Russia
  • Tewes Tralau German Federal Institute for Risk Assessment, Department of Chemicals and Product Safety, Berlin, Germany
  • Sergej Tsyb Russian Ministry of Production and Trade, Moscow, Russia
  • Anja van de Stolpe The Institute for Human Organ and Disease Model Technologies, Leiden, The Netherlands
  • Rob Vandebriel National Institute for Public Health & the Environment, Bilthoven, The Netherlands
  • Paul Vulto MIMETAS BV, Leiden, The Netherlands
  • Jufeng Wang Chinese National Center for Safety Evaluation of Drugs, Beijing, China
  • Joachim Wiest cellasys GmbH, Kronburg, Germany
  • Marleen Rodenburg National Institute for Public Health & the Environment, Bilthoven, The Netherlands
  • Adrian Roth F. Hoffmann-La Roche Ltd, Roche Innovation Centre Basel, Switzerland

DOI:

https://doi.org/10.14573/altex.1603161

Keywords:

microphysiological systems, organ-on-a-chip, in vitro models, predictive toxicology, drug testing

Abstract

The recent advent of microphysiological systems – microfluidic biomimetic devices that aspire to emulate the biology of human tissues, organs and circulation in vitro – promises to enable a global paradigm shift in drug development. An extraordinary US government initiative and various dedicated research programs in Europe and Asia recently have led to the first cutting-edge achievements of human single-organ and multi-organ engineering based on microphysiological systems. The expectation is that test systems established on this basis will model various disease stages and predict toxicity, immunogenicity, ADME profiles and treatment efficacy prior to clinical testing. Consequently, this technology could significantly affect the way drug substances are developed in the future. Furthermore, microphysiological system-based assays may revolutionize our current global programs of prioritization of hazard characterization for any new substances to be used, for example, in agriculture, food, ecosystems or cosmetics, thus replacing the use of laboratory animal models. Here, thirty-six experts from academia, industry and regulatory bodies present the results of an intensive workshop (held in June 2015, Berlin, Germany). They review the status quo of microphysiological systems available today against industry needs, and assess the broad variety of approaches with fit-for-purpose potential in the drug development cycle. Feasible technical solutions to reach the next levels of human biology in vitro are proposed. Furthermore, key organ-on-a-chip case studies as well as various national and international programs are highlighted. Finally, a roadmap into the future towards more predictive and regulatory-accepted substance testing on a global scale is outlined.

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Published

2016-08-01

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Articles

How to Cite

Marx, U., Andersson, T. B., Bahinski, A., Beilmann, M., Beken, S., Cassee, F. R., Cirit, M., Daneshian, M., Fitzpatrick, S., Frey, O., Gaertner, C., Giese, C., Griffith, L., Hartung, T., Heringa, M. B., Hoeng, J., de Jong, W. H., Kojima, H., Kuehnl, J., … Roth, A. (2016). Biology-inspired microphysiological system approaches to solve the prediction dilemma of substance testing. ALTEX - Alternatives to Animal Experimentation, 33(3), 272-321. https://doi.org/10.14573/altex.1603161

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