Cargando…

Understanding Immune‐Driven Brain Aging by Human Brain Organoid Microphysiological Analysis Platform

The aging of the immune system drives systemic aging and the pathogenesis of age‐related diseases. However, a significant knowledge gap remains in understanding immune‐driven aging, especially in brain aging, due to the limited current in vitro models of neuroimmune interaction. Here, the authors re...

Descripción completa

Detalles Bibliográficos
Autores principales: Ao, Zheng, Song, Sunghwa, Tian, Chunhui, Cai, Hongwei, Li, Xiang, Miao, Yifei, Wu, Zhuhao, Krzesniak, Jonathan, Ning, Bo, Gu, Mingxia, Lee, Luke P., Guo, Feng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9507385/
https://www.ncbi.nlm.nih.gov/pubmed/35908805
http://dx.doi.org/10.1002/advs.202200475
_version_ 1784796862973214720
author Ao, Zheng
Song, Sunghwa
Tian, Chunhui
Cai, Hongwei
Li, Xiang
Miao, Yifei
Wu, Zhuhao
Krzesniak, Jonathan
Ning, Bo
Gu, Mingxia
Lee, Luke P.
Guo, Feng
author_facet Ao, Zheng
Song, Sunghwa
Tian, Chunhui
Cai, Hongwei
Li, Xiang
Miao, Yifei
Wu, Zhuhao
Krzesniak, Jonathan
Ning, Bo
Gu, Mingxia
Lee, Luke P.
Guo, Feng
author_sort Ao, Zheng
collection PubMed
description The aging of the immune system drives systemic aging and the pathogenesis of age‐related diseases. However, a significant knowledge gap remains in understanding immune‐driven aging, especially in brain aging, due to the limited current in vitro models of neuroimmune interaction. Here, the authors report the development of a human brain organoid microphysiological analysis platform (MAP) to discover the dynamic process of immune‐driven brain aging. The organoid MAP is created by 3D printing that confines organoid growth and facilitates cell and nutrition perfusion, promoting organoid maturation and their committment to forebrain identity. Dynamic rocking flow is incorporated into the platform that allows to perfuse primary monocytes from young (20 to 30‐year‐old) and aged (>60‐year‐old) donors and culture human cortical organoids to model neuroimmune interaction. The authors find that the aged monocytes increase infiltration and promote the expression of aging‐related markers (e.g., higher expression of p16) within the human cortical organoids, indicating that aged monocytes may drive brain aging. The authors believe that the organoid MAP may provide promising solutions for basic research and translational applications in aging, neural immunological diseases, autoimmune disorders, and cancer.
format Online
Article
Text
id pubmed-9507385
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher John Wiley and Sons Inc.
record_format MEDLINE/PubMed
spelling pubmed-95073852022-09-30 Understanding Immune‐Driven Brain Aging by Human Brain Organoid Microphysiological Analysis Platform Ao, Zheng Song, Sunghwa Tian, Chunhui Cai, Hongwei Li, Xiang Miao, Yifei Wu, Zhuhao Krzesniak, Jonathan Ning, Bo Gu, Mingxia Lee, Luke P. Guo, Feng Adv Sci (Weinh) Research Articles The aging of the immune system drives systemic aging and the pathogenesis of age‐related diseases. However, a significant knowledge gap remains in understanding immune‐driven aging, especially in brain aging, due to the limited current in vitro models of neuroimmune interaction. Here, the authors report the development of a human brain organoid microphysiological analysis platform (MAP) to discover the dynamic process of immune‐driven brain aging. The organoid MAP is created by 3D printing that confines organoid growth and facilitates cell and nutrition perfusion, promoting organoid maturation and their committment to forebrain identity. Dynamic rocking flow is incorporated into the platform that allows to perfuse primary monocytes from young (20 to 30‐year‐old) and aged (>60‐year‐old) donors and culture human cortical organoids to model neuroimmune interaction. The authors find that the aged monocytes increase infiltration and promote the expression of aging‐related markers (e.g., higher expression of p16) within the human cortical organoids, indicating that aged monocytes may drive brain aging. The authors believe that the organoid MAP may provide promising solutions for basic research and translational applications in aging, neural immunological diseases, autoimmune disorders, and cancer. John Wiley and Sons Inc. 2022-07-31 /pmc/articles/PMC9507385/ /pubmed/35908805 http://dx.doi.org/10.1002/advs.202200475 Text en © 2022 The Authors. Advanced Science published by Wiley‐VCH GmbH https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Ao, Zheng
Song, Sunghwa
Tian, Chunhui
Cai, Hongwei
Li, Xiang
Miao, Yifei
Wu, Zhuhao
Krzesniak, Jonathan
Ning, Bo
Gu, Mingxia
Lee, Luke P.
Guo, Feng
Understanding Immune‐Driven Brain Aging by Human Brain Organoid Microphysiological Analysis Platform
title Understanding Immune‐Driven Brain Aging by Human Brain Organoid Microphysiological Analysis Platform
title_full Understanding Immune‐Driven Brain Aging by Human Brain Organoid Microphysiological Analysis Platform
title_fullStr Understanding Immune‐Driven Brain Aging by Human Brain Organoid Microphysiological Analysis Platform
title_full_unstemmed Understanding Immune‐Driven Brain Aging by Human Brain Organoid Microphysiological Analysis Platform
title_short Understanding Immune‐Driven Brain Aging by Human Brain Organoid Microphysiological Analysis Platform
title_sort understanding immune‐driven brain aging by human brain organoid microphysiological analysis platform
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9507385/
https://www.ncbi.nlm.nih.gov/pubmed/35908805
http://dx.doi.org/10.1002/advs.202200475
work_keys_str_mv AT aozheng understandingimmunedrivenbrainagingbyhumanbrainorganoidmicrophysiologicalanalysisplatform
AT songsunghwa understandingimmunedrivenbrainagingbyhumanbrainorganoidmicrophysiologicalanalysisplatform
AT tianchunhui understandingimmunedrivenbrainagingbyhumanbrainorganoidmicrophysiologicalanalysisplatform
AT caihongwei understandingimmunedrivenbrainagingbyhumanbrainorganoidmicrophysiologicalanalysisplatform
AT lixiang understandingimmunedrivenbrainagingbyhumanbrainorganoidmicrophysiologicalanalysisplatform
AT miaoyifei understandingimmunedrivenbrainagingbyhumanbrainorganoidmicrophysiologicalanalysisplatform
AT wuzhuhao understandingimmunedrivenbrainagingbyhumanbrainorganoidmicrophysiologicalanalysisplatform
AT krzesniakjonathan understandingimmunedrivenbrainagingbyhumanbrainorganoidmicrophysiologicalanalysisplatform
AT ningbo understandingimmunedrivenbrainagingbyhumanbrainorganoidmicrophysiologicalanalysisplatform
AT gumingxia understandingimmunedrivenbrainagingbyhumanbrainorganoidmicrophysiologicalanalysisplatform
AT leelukep understandingimmunedrivenbrainagingbyhumanbrainorganoidmicrophysiologicalanalysisplatform
AT guofeng understandingimmunedrivenbrainagingbyhumanbrainorganoidmicrophysiologicalanalysisplatform