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Towards an artificial human lung: modelling organ-like complexity to aid mechanistic understanding

Towards an artificial human lung: modelling organ-like complexity to aid mechanistic understanding
Towards an artificial human lung: modelling organ-like complexity to aid mechanistic understanding

Respiratory diseases account for over 5 million deaths yearly and are a huge burden to health-care systems worldwide. Murine models have been of paramount importance to decode human lung biology in vivo, but their genetic, anatomical, physiological and immunological differences with humans significantly hamper successful translation of research into clinical practice. Thus, to clearly understand human lung physiology, development, homeostasis and mechanistic dysregulation that may lead to disease, it is essential to develop models that accurately recreate the extraordinary complexity of the human pulmonary architecture and biology. Recent advances in micro-engineering technology and tissue engineering have allowed the development of more sophisticated models intending to bridge the gap between the native lung and its replicates in vitro Alongside advanced culture techniques, remarkable technological growth in downstream analyses has significantly increased the predictive power of human biology-based in vitro models by allowing capture and quantification of complex signals. Refined integrated multi-omics readouts could lead to an acceleration of the translational pipeline from in vitro experimental settings to drug development and clinical testing in the future. This review highlights the range and complexity of state-of-the-art lung models for different areas of the respiratory system, from nasal to large airways, small airways, and alveoli, with consideration of various aspects of disease states and their potential applications, including pre-clinical drug testing. We explore how development of optimised physiologically relevant in vitro human lung models could accelerate the identification of novel therapeutics with increased potential to translate successfully from the bench to the patient's bedside.

0903-1936
Humbert, Maria Victoria
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Spalluto, Cosma Mirella
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Bell, Joseph
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Blume, Cornelia
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Conforti, Franco
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Davies, Elizabeth R
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Dean, Lareb S N
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Elkington, Paul
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Haitchi, Hans Michael
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Jackson, Claire
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Jones, Mark G
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Loxham, Matthew
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Lucas, Jane S
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Morgan, Hywel
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Polak, Marta
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Staples, Karl J
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Swindle, Emily J
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Tezera, Liku
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Watson, Alastair
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Wilkinson, Tom M A
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Humbert, Maria Victoria
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Spalluto, Cosma Mirella
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Bell, Joseph
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Blume, Cornelia
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Conforti, Franco
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Davies, Elizabeth R
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Dean, Lareb S N
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Elkington, Paul
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Haitchi, Hans Michael
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Jackson, Claire
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Jones, Mark G
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Loxham, Matthew
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Lucas, Jane S
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Morgan, Hywel
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Polak, Marta
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Staples, Karl J
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Swindle, Emily J
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Tezera, Liku
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Watson, Alastair
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Wilkinson, Tom M A
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Humbert, Maria Victoria, Spalluto, Cosma Mirella, Bell, Joseph, Blume, Cornelia, Conforti, Franco, Davies, Elizabeth R, Dean, Lareb S N, Elkington, Paul, Haitchi, Hans Michael, Jackson, Claire, Jones, Mark G, Loxham, Matthew, Lucas, Jane S, Morgan, Hywel, Polak, Marta, Staples, Karl J, Swindle, Emily J, Tezera, Liku, Watson, Alastair and Wilkinson, Tom M A (2022) Towards an artificial human lung: modelling organ-like complexity to aid mechanistic understanding. The European respiratory journal, 60 (6), [2200455]. (doi:10.1183/13993003.00455-2022).

Record type: Article

Abstract

Respiratory diseases account for over 5 million deaths yearly and are a huge burden to health-care systems worldwide. Murine models have been of paramount importance to decode human lung biology in vivo, but their genetic, anatomical, physiological and immunological differences with humans significantly hamper successful translation of research into clinical practice. Thus, to clearly understand human lung physiology, development, homeostasis and mechanistic dysregulation that may lead to disease, it is essential to develop models that accurately recreate the extraordinary complexity of the human pulmonary architecture and biology. Recent advances in micro-engineering technology and tissue engineering have allowed the development of more sophisticated models intending to bridge the gap between the native lung and its replicates in vitro Alongside advanced culture techniques, remarkable technological growth in downstream analyses has significantly increased the predictive power of human biology-based in vitro models by allowing capture and quantification of complex signals. Refined integrated multi-omics readouts could lead to an acceleration of the translational pipeline from in vitro experimental settings to drug development and clinical testing in the future. This review highlights the range and complexity of state-of-the-art lung models for different areas of the respiratory system, from nasal to large airways, small airways, and alveoli, with consideration of various aspects of disease states and their potential applications, including pre-clinical drug testing. We explore how development of optimised physiologically relevant in vitro human lung models could accelerate the identification of novel therapeutics with increased potential to translate successfully from the bench to the patient's bedside.

Text
13993003.00455-2022.full - Accepted Manuscript
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Accepted/In Press date: 11 June 2022
e-pub ahead of print date: 1 July 2022
Published date: 1 December 2022
Additional Information: Funding Information: Support statement: The National Institute for Health and Care Research (NIHR) Southampton Biomedical Research Centre (BRC) supported this work. Publisher Copyright: ©The authors 2022.

Identifiers

Local EPrints ID: 468484
URI: http://eprints.soton.ac.uk/id/eprint/468484
ISSN: 0903-1936
PURE UUID: bc147bd0-f683-4bcf-8eed-e60b617d8819
ORCID for Maria Victoria Humbert: ORCID iD orcid.org/0000-0002-5728-6981
ORCID for Cosma Mirella Spalluto: ORCID iD orcid.org/0000-0001-7273-0844
ORCID for Cornelia Blume: ORCID iD orcid.org/0000-0001-6133-7318
ORCID for Lareb S N Dean: ORCID iD orcid.org/0000-0002-8703-9236
ORCID for Paul Elkington: ORCID iD orcid.org/0000-0003-0390-0613
ORCID for Hans Michael Haitchi: ORCID iD orcid.org/0000-0001-8603-302X
ORCID for Claire Jackson: ORCID iD orcid.org/0000-0002-1200-0935
ORCID for Matthew Loxham: ORCID iD orcid.org/0000-0001-6459-538X
ORCID for Jane S Lucas: ORCID iD orcid.org/0000-0001-8701-9975
ORCID for Hywel Morgan: ORCID iD orcid.org/0000-0003-4850-5676
ORCID for Karl J Staples: ORCID iD orcid.org/0000-0003-3844-6457
ORCID for Emily J Swindle: ORCID iD orcid.org/0000-0003-3644-7747
ORCID for Liku Tezera: ORCID iD orcid.org/0000-0002-7898-6709

Catalogue record

Date deposited: 16 Aug 2022 16:44
Last modified: 17 Mar 2024 07:25

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Contributors

Author: Maria Victoria Humbert ORCID iD
Author: Cosma Mirella Spalluto ORCID iD
Author: Joseph Bell
Author: Cornelia Blume ORCID iD
Author: Franco Conforti
Author: Elizabeth R Davies
Author: Lareb S N Dean ORCID iD
Author: Paul Elkington ORCID iD
Author: Claire Jackson ORCID iD
Author: Mark G Jones
Author: Matthew Loxham ORCID iD
Author: Jane S Lucas ORCID iD
Author: Hywel Morgan ORCID iD
Author: Marta Polak
Author: Karl J Staples ORCID iD
Author: Emily J Swindle ORCID iD
Author: Liku Tezera ORCID iD
Author: Alastair Watson
Author: Tom M A Wilkinson

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