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Microfluidic-Chip-Integrated Biosensors for Lung Disease Models

Lung diseases (e.g., infection, asthma, cancer, and pulmonary fibrosis) represent serious threats to human health all over the world. Conventional two-dimensional (2D) cell models and animal models cannot mimic the human-specific properties of the lungs. In the past decade, human organ-on-a-chip (OO...

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Detalles Bibliográficos
Autores principales: Ding, Shuang, Zhang, Haijun, Wang, Xuemei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8615803/
https://www.ncbi.nlm.nih.gov/pubmed/34821672
http://dx.doi.org/10.3390/bios11110456
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author Ding, Shuang
Zhang, Haijun
Wang, Xuemei
author_facet Ding, Shuang
Zhang, Haijun
Wang, Xuemei
author_sort Ding, Shuang
collection PubMed
description Lung diseases (e.g., infection, asthma, cancer, and pulmonary fibrosis) represent serious threats to human health all over the world. Conventional two-dimensional (2D) cell models and animal models cannot mimic the human-specific properties of the lungs. In the past decade, human organ-on-a-chip (OOC) platforms—including lung-on-a-chip (LOC)—have emerged rapidly, with the ability to reproduce the in vivo features of organs or tissues based on their three-dimensional (3D) structures. Furthermore, the integration of biosensors in the chip allows researchers to monitor various parameters related to disease development and drug efficacy. In this review, we illustrate the biosensor-based LOC modeling, further discussing the future challenges as well as perspectives in integrating biosensors in OOC platforms.
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spelling pubmed-86158032021-11-26 Microfluidic-Chip-Integrated Biosensors for Lung Disease Models Ding, Shuang Zhang, Haijun Wang, Xuemei Biosensors (Basel) Review Lung diseases (e.g., infection, asthma, cancer, and pulmonary fibrosis) represent serious threats to human health all over the world. Conventional two-dimensional (2D) cell models and animal models cannot mimic the human-specific properties of the lungs. In the past decade, human organ-on-a-chip (OOC) platforms—including lung-on-a-chip (LOC)—have emerged rapidly, with the ability to reproduce the in vivo features of organs or tissues based on their three-dimensional (3D) structures. Furthermore, the integration of biosensors in the chip allows researchers to monitor various parameters related to disease development and drug efficacy. In this review, we illustrate the biosensor-based LOC modeling, further discussing the future challenges as well as perspectives in integrating biosensors in OOC platforms. MDPI 2021-11-15 /pmc/articles/PMC8615803/ /pubmed/34821672 http://dx.doi.org/10.3390/bios11110456 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Ding, Shuang
Zhang, Haijun
Wang, Xuemei
Microfluidic-Chip-Integrated Biosensors for Lung Disease Models
title Microfluidic-Chip-Integrated Biosensors for Lung Disease Models
title_full Microfluidic-Chip-Integrated Biosensors for Lung Disease Models
title_fullStr Microfluidic-Chip-Integrated Biosensors for Lung Disease Models
title_full_unstemmed Microfluidic-Chip-Integrated Biosensors for Lung Disease Models
title_short Microfluidic-Chip-Integrated Biosensors for Lung Disease Models
title_sort microfluidic-chip-integrated biosensors for lung disease models
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8615803/
https://www.ncbi.nlm.nih.gov/pubmed/34821672
http://dx.doi.org/10.3390/bios11110456
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