Literature DB >> 35689632

Microphysiological Systems Evaluation: Experience of TEX-VAL Tissue Chip Testing Consortium.

Ivan Rusyn1, Courtney Sakolish1, Yuki Kato1, Clifford Stephan2, Leoncio Vergara2, Philip Hewitt3, Vasanthi Bhaskaran4, Myrtle Davis4, Rhiannon N Hardwick5, Stephen S Ferguson6, Jason P Stanko6, Piyush Bajaj7, Karissa Adkins7, Nisha S Sipes8, E Sidney Hunter8, Maria T Baltazar9, Paul L Carmichael9, Kritika Sadh9, Richard A Becker10.   

Abstract

Much has been written and said about the promise and excitement of microphysiological systems, miniature devices that aim to recreate aspects of human physiology on a chip. The rapid explosion of the offerings and persistent publicity placed high expectations on both product manufacturers and regulatory agencies to adopt the data. Inevitably, discussions of where this technology fits in chemical testing paradigms are ongoing. Some end-users became early adopters, whereas others have taken a more cautious approach because of the high cost and uncertainties of their utility. Here, we detail the experience of a public-private collaboration established for testing of diverse microphysiological systems. Collectively, we present a number of considerations on practical aspects of using microphysiological systems in the context of their applications in decision-making. Specifically, future end-users need to be prepared for extensive on-site optimization and have access to a wide range of imaging and other equipment. We reason that cells, related reagents, and the technical skills of the research staff, not the devices themselves, are the most critical determinants of success. Extrapolation from concentration-response effects in microphysiological systems to human blood or oral exposures, difficulties with replicating the whole organ, and long-term functionality remain as critical challenges. Overall, we conclude that it is unlikely that a rodent- or human-equivalent model is achievable through a finite number of microphysiological systems in the near future; therefore, building consensus and promoting the gradual incorporation of these models into tiered approaches for safety assessment and decision-making is the sensible path to wide adoption.
© The Author(s) 2022. Published by Oxford University Press on behalf of the Society of Toxicology. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  zzm321990 in vitro models; new approach methods; tissue chips

Mesh:

Year:  2022        PMID: 35689632      PMCID: PMC9333404          DOI: 10.1093/toxsci/kfac061

Source DB:  PubMed          Journal:  Toxicol Sci        ISSN: 1096-0929            Impact factor:   4.109


  64 in total

1.  Microfluidics--downsizing large-scale biology.

Authors:  P Mitchell
Journal:  Nat Biotechnol       Date:  2001-08       Impact factor: 54.908

2.  Organs-on-chips: Progress, challenges, and future directions.

Authors:  Lucie A Low; Danilo A Tagle
Journal:  Exp Biol Med (Maywood)       Date:  2017-03-26

Review 3.  Physiologically Based Pharmacokinetic and Pharmacodynamic Analysis Enabled by Microfluidically Linked Organs-on-Chips.

Authors:  Rachelle Prantil-Baun; Richard Novak; Debarun Das; Mahadevabharath R Somayaji; Andrzej Przekwas; Donald E Ingber
Journal:  Annu Rev Pharmacol Toxicol       Date:  2018-01-06       Impact factor: 13.820

4.  Template for the description of cell-based toxicological test methods to allow evaluation and regulatory use of the data.

Authors:  Alice Krebs; Tanja Waldmann; Martin F Wilks; Barbara M A Van Vugt-Lussenburg; Bart Van der Burg; Andrea Terron; Thomas Steger-Hartmann; Joelle Ruegg; Costanza Rovida; Emma Pedersen; Giorgia Pallocca; Mirjam Luijten; Sofia B Leite; Stefan Kustermann; Hennicke Kamp; Julia Hoeng; Philip Hewitt; Matthias Herzler; Jan G Hengstler; Tuula Heinonen; Thomas Hartung; Barry Hardy; Florian Gantner; Ellen Fritsche; Kristina Fant; Janine Ezendam; Thomas Exner; Torsten Dunkern; Daniel R Dietrich; Sandra Coecke; Francois Busquet; Albert Braeuning; Olesja Bondarenko; Susanne H Bennekou; Mario Beilmann; Marcel Leist
Journal:  ALTEX       Date:  2019       Impact factor: 6.043

5.  Analysis of reproducibility and robustness of a human microfluidic four-cell liver acinus microphysiology system (LAMPS).

Authors:  Courtney Sakolish; Celeste E Reese; Yu-Syuan Luo; Alan Valdiviezo; Mark E Schurdak; Albert Gough; D Lansing Taylor; Weihsueh A Chiu; Lawrence A Vernetti; Ivan Rusyn
Journal:  Toxicology       Date:  2020-12-08       Impact factor: 4.221

6.  Human Pluripotent Stem Cells for High-Throughput Drug Screening and Characterization of Small Molecules.

Authors:  Seungmi Ryu; Pei-Hsuan Chu; Claire Malley; John Braisted; Pinar Ormanoglu; Ruili Huang; Misha Itkin; Zina Itkin; Paul Shinn; Carleen Klumpp-Thomas; Sam Michael; Carlos A Tristan; Anton Simeonov; Ilyas Singeç
Journal:  Methods Mol Biol       Date:  2022

Review 7.  3Rs toxicity testing and disease modeling projects in the European Horizon 2020 research and innovation program.

Authors:  Mathieu Vinken
Journal:  EXCLI J       Date:  2020-06-09       Impact factor: 4.068

8.  A Next-Generation Risk Assessment Case Study for Coumarin in Cosmetic Products.

Authors:  Maria T Baltazar; Sophie Cable; Paul L Carmichael; Richard Cubberley; Tom Cull; Mona Delagrange; Matthew P Dent; Sarah Hatherell; Jade Houghton; Predrag Kukic; Hequn Li; Mi-Young Lee; Sophie Malcomber; Alistair M Middleton; Thomas E Moxon; Alexis V Nathanail; Beate Nicol; Ruth Pendlington; Georgia Reynolds; Joe Reynolds; Andrew White; Carl Westmoreland
Journal:  Toxicol Sci       Date:  2020-07-01       Impact factor: 4.849

Review 9.  Research and Development of Microphysiological Systems in Japan Supported by the AMED-MPS Project.

Authors:  Seiichi Ishida
Journal:  Front Toxicol       Date:  2021-04-29

10.  Applications of the microphysiology systems database for experimental ADME-Tox and disease models.

Authors:  Mark Schurdak; Lawrence Vernetti; Luke Bergenthal; Quinn K Wolter; Tong Ying Shun; Sandra Karcher; D Lansing Taylor; Albert Gough
Journal:  Lab Chip       Date:  2020-04-14       Impact factor: 6.799

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