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Integrative lymph node-mimicking models created with biomaterials and computational tools to study the immune system

The lymph node (LN) is a vital organ of the lymphatic and immune system that enables timely detection, response, and clearance of harmful substances from the body. Each LN comprises of distinct substructures, which host a plethora of immune cell types working in tandem to coordinate complex innate a...

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Autores principales: Shou, Yufeng, Johnson, Sarah C., Quek, Ying Jie, Li, Xianlei, Tay, Andy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9062348/
https://www.ncbi.nlm.nih.gov/pubmed/35514433
http://dx.doi.org/10.1016/j.mtbio.2022.100269
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author Shou, Yufeng
Johnson, Sarah C.
Quek, Ying Jie
Li, Xianlei
Tay, Andy
author_facet Shou, Yufeng
Johnson, Sarah C.
Quek, Ying Jie
Li, Xianlei
Tay, Andy
author_sort Shou, Yufeng
collection PubMed
description The lymph node (LN) is a vital organ of the lymphatic and immune system that enables timely detection, response, and clearance of harmful substances from the body. Each LN comprises of distinct substructures, which host a plethora of immune cell types working in tandem to coordinate complex innate and adaptive immune responses. An improved understanding of LN biology could facilitate treatment in LN-associated pathologies and immunotherapeutic interventions, yet at present, animal models, which often have poor physiological relevance, are the most popular experimental platforms. Emerging biomaterial engineering offers powerful alternatives, with the potential to circumvent limitations of animal models, for in-depth characterization and engineering of the lymphatic and adaptive immune system. In addition, mathematical and computational approaches, particularly in the current age of big data research, are reliable tools to verify and complement biomaterial works. In this review, we first discuss the importance of lymph node in immunity protection followed by recent advances using biomaterials to create in vitro/vivo LN-mimicking models to recreate the lymphoid tissue microstructure and microenvironment, as well as to describe the related immuno-functionality for biological investigation. We also explore the great potential of mathematical and computational models to serve as in silico supports. Furthermore, we suggest how both in vitro/vivo and in silico approaches can be integrated to strengthen basic patho-biological research, translational drug screening and clinical personalized therapies. We hope that this review will promote synergistic collaborations to accelerate progress of LN-mimicking systems to enhance understanding of immuno-complexity.
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spelling pubmed-90623482022-05-04 Integrative lymph node-mimicking models created with biomaterials and computational tools to study the immune system Shou, Yufeng Johnson, Sarah C. Quek, Ying Jie Li, Xianlei Tay, Andy Mater Today Bio Review Article The lymph node (LN) is a vital organ of the lymphatic and immune system that enables timely detection, response, and clearance of harmful substances from the body. Each LN comprises of distinct substructures, which host a plethora of immune cell types working in tandem to coordinate complex innate and adaptive immune responses. An improved understanding of LN biology could facilitate treatment in LN-associated pathologies and immunotherapeutic interventions, yet at present, animal models, which often have poor physiological relevance, are the most popular experimental platforms. Emerging biomaterial engineering offers powerful alternatives, with the potential to circumvent limitations of animal models, for in-depth characterization and engineering of the lymphatic and adaptive immune system. In addition, mathematical and computational approaches, particularly in the current age of big data research, are reliable tools to verify and complement biomaterial works. In this review, we first discuss the importance of lymph node in immunity protection followed by recent advances using biomaterials to create in vitro/vivo LN-mimicking models to recreate the lymphoid tissue microstructure and microenvironment, as well as to describe the related immuno-functionality for biological investigation. We also explore the great potential of mathematical and computational models to serve as in silico supports. Furthermore, we suggest how both in vitro/vivo and in silico approaches can be integrated to strengthen basic patho-biological research, translational drug screening and clinical personalized therapies. We hope that this review will promote synergistic collaborations to accelerate progress of LN-mimicking systems to enhance understanding of immuno-complexity. Elsevier 2022-04-21 /pmc/articles/PMC9062348/ /pubmed/35514433 http://dx.doi.org/10.1016/j.mtbio.2022.100269 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Review Article
Shou, Yufeng
Johnson, Sarah C.
Quek, Ying Jie
Li, Xianlei
Tay, Andy
Integrative lymph node-mimicking models created with biomaterials and computational tools to study the immune system
title Integrative lymph node-mimicking models created with biomaterials and computational tools to study the immune system
title_full Integrative lymph node-mimicking models created with biomaterials and computational tools to study the immune system
title_fullStr Integrative lymph node-mimicking models created with biomaterials and computational tools to study the immune system
title_full_unstemmed Integrative lymph node-mimicking models created with biomaterials and computational tools to study the immune system
title_short Integrative lymph node-mimicking models created with biomaterials and computational tools to study the immune system
title_sort integrative lymph node-mimicking models created with biomaterials and computational tools to study the immune system
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9062348/
https://www.ncbi.nlm.nih.gov/pubmed/35514433
http://dx.doi.org/10.1016/j.mtbio.2022.100269
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