Merging organoid and organ-on-a-chip technology to generate complex multi-layer tissue models in a human Retina-on-a-Chip platform

Abstract

The devastating effects and incurable nature of hereditary and sporadic retinal diseases such as Stargardt disease, age-related macular degeneration or retinitis pigmentosa urgently require the development of new therapeutic strategies. Additionally, a high prevalence of retinal toxicities is becoming more and more an issue of novel targeted therapeutic agents. Ophthalmologic drug development, to date, largely relies on animal models, which often do not provide results that are translatable to human patients. Hence, the establishment of sophisticated human tissue-based in vitro models is of upmost importance. The discovery of self-forming retinal organoids (ROs) derived from human embryonic stem cells (hESCs) or human induced pluripotent stem cells (hiPSCs) is a promising approach to model the complex stratified retinal tissue. Yet, ROs lack vascularization and cannot recapitulate the important physiological interactions of matured photoreceptors and the retinal pigment epithelium (RPE). In this study, we present the retina-on-a-chip (RoC), a novel microphysiological model of the human retina integrating more than seven different essential retinal cell-types derived from hiPSCs. It provides vasculature-like perfusion and enables, for the first time, the recapitulation of the interaction of mature photoreceptor segments with RPE in vitro. We show that this interaction enhances the formation of outer segment-like structures and the establishment of in vivo-like physiological processes such as outer segment phagocytosis and calcium dynamics. In addition, we demonstrate the applicability of the RoC for drug testing, by reproducing the retinopathic side-effects of the anti-malaria drug chloroquine and the antibiotic gentamicin. The developed hiPSC-based RoC has the potential to promote drug development and provide new insights into the underlying pathology of retinal diseases.

Data availability

The authors declare that the main data supporting the findings of this study are available within the article and its Supplementary Information files.

Article and author information

Author details

  1. Kevin Achberger

    Institute of Neuroanatomy and Developmental Biology (INDB), Eberhard Karls University Tübingen, Tübingen, Germany
    Competing interests
    The authors declare that no competing interests exist.
  2. Christopher Probst

    Attract Group Organ-on-a-Chip, Fraunhofer Institute for Interfacial Engineering and Biotechnology IGB, Stuttgart, Germany
    Competing interests
    The authors declare that no competing interests exist.
  3. Jasmin Haderspeck

    Institute of Neuroanatomy and Developmental Biology (INDB), Eberhard Karls University Tübingen, Tübingen, Germany
    Competing interests
    The authors declare that no competing interests exist.
  4. Silvia Bolz

    Centre for Ophthalmology, Eberhard Karls University Tübingen, Tübingen, Germany
    Competing interests
    The authors declare that no competing interests exist.
  5. Julia Rogal

    Fraunhofer Institute for Interfacial Engineering and Biotechnology IGB, Stuttgart, Germany
    Competing interests
    The authors declare that no competing interests exist.
  6. Johanna Chuchuy

    Fraunhofer Institute for Interfacial Engineering and Biotechnology IGB, Stuttgart, Germany
    Competing interests
    The authors declare that no competing interests exist.
  7. Marina Nikolova

    Institute of Neuroanatomy and Developmental Biology (INDB), Eberhard Karls University Tübingen, Tübingen, Germany
    Competing interests
    The authors declare that no competing interests exist.
  8. Virginia Cora

    Institute of Neuroanatomy and Developmental Biology (INDB), Eberhard Karls University Tübingen, Tübingen, Germany
    Competing interests
    The authors declare that no competing interests exist.
  9. Lena Antkowiak

    Institute of Neuroanatomy and Developmental Biology (INDB), Eberhard Karls University Tübingen, Tübingen, Germany
    Competing interests
    The authors declare that no competing interests exist.
  10. Wadood Haq

    Centre for Ophthalmology, Eberhard Karls University Tübingen, Tübingen, Germany
    Competing interests
    The authors declare that no competing interests exist.
  11. Nian Shen

    Department of Womens Health, Eberhard Karls University Tübingen, Tübingen, Germany
    Competing interests
    The authors declare that no competing interests exist.
  12. Katja Schenke-Layland

    Department of Womens Health, Eberhard Karls University Tübingen, Tübingen, Germany
    Competing interests
    The authors declare that no competing interests exist.
  13. Marius Ueffing

    Centre for Ophthalmology, Eberhard Karls University Tübingen, Tübingen, Germany
    Competing interests
    The authors declare that no competing interests exist.
  14. Stefan Liebau

    Institute of Neuroanatomy and Developmental Biology (INDB), Eberhard Karls University Tübingen, Tübingen, Germany
    For correspondence
    stefan.liebau@uni-tuebingen.de
    Competing interests
    The authors declare that no competing interests exist.
  15. Peter Loskill

    Attract Group Organ-on-a-Chip, Fraunhofer Institute for Interfacial Engineering and Biotechnology IGB, Stuttgart, Germany
    For correspondence
    peter.loskill@igb.fraunhofer.de
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-5000-0581

Funding

Fraunhofer-Gesellschaft

  • Peter Loskill

Deutsche Forschungsgemeinschaft

  • Katja Schenke-Layland
  • Stefan Liebau

Horizon 2020 Framework Programme

  • Peter Loskill

Ministerium für Wissenschaft, Forschung und Kunst Baden-Württemberg

  • Katja Schenke-Layland

National Centre for the Replacement, Refinement and Reduction of Animals in Research

  • Peter Loskill

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Copyright

© 2019, Achberger et al.

This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.

Metrics

  • 19,525
    views
  • 3,148
    downloads
  • 277
    citations

Views, downloads and citations are aggregated across all versions of this paper published by eLife.

Download links

A two-part list of links to download the article, or parts of the article, in various formats.

Downloads (link to download the article as PDF)

Open citations (links to open the citations from this article in various online reference manager services)

Cite this article (links to download the citations from this article in formats compatible with various reference manager tools)

  1. Kevin Achberger
  2. Christopher Probst
  3. Jasmin Haderspeck
  4. Silvia Bolz
  5. Julia Rogal
  6. Johanna Chuchuy
  7. Marina Nikolova
  8. Virginia Cora
  9. Lena Antkowiak
  10. Wadood Haq
  11. Nian Shen
  12. Katja Schenke-Layland
  13. Marius Ueffing
  14. Stefan Liebau
  15. Peter Loskill
(2019)
Merging organoid and organ-on-a-chip technology to generate complex multi-layer tissue models in a human Retina-on-a-Chip platform
eLife 8:e46188.
https://doi.org/10.7554/eLife.46188

Share this article

https://doi.org/10.7554/eLife.46188

Further reading

  1. More refined lab-grown retinas may help to study disease.

    1. Computational and Systems Biology
    2. Medicine
    Xin Zhou, Zhinuo Jenny Wang ... Blanca Rodriguez
    Research Article

    Sudden death after myocardial infarction (MI) is associated with electrophysiological heterogeneities and ionic current remodelling. Low ejection fraction (EF) is used in risk stratification, but its mechanistic links with pro-arrhythmic heterogeneities are unknown. We aim to provide mechanistic explanations of clinical phenotypes in acute and chronic MI, from ionic current remodelling to ECG and EF, using human electromechanical modelling and simulation to augment experimental and clinical investigations. A human ventricular electromechanical modelling and simulation framework is constructed and validated with rich experimental and clinical datasets, incorporating varying degrees of ionic current remodelling as reported in literature. In acute MI, T-wave inversion and Brugada phenocopy were explained by conduction abnormality and local action potential prolongation in the border zone. In chronic MI, upright tall T-waves highlight large repolarisation dispersion between the border and remote zones, which promoted ectopic propagation at fast pacing. Post-MI EF at resting heart rate was not sensitive to the extent of repolarisation heterogeneity and the risk of repolarisation abnormalities at fast pacing. T-wave and QT abnormalities are better indicators of repolarisation heterogeneities than EF in post-MI.