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

Zheng Ao, Sunghwa Song, Chunhui Tian, Hongwei Cai, Xiang Li, Yifei Miao, Zhuhao Wu, Jonathan Krzesniak, Bo Ning, Mingxia Gu, Luke P. Lee, Feng Guo

Research output: Contribution to journalArticlepeer-review

18 Scopus citations


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.

Original languageEnglish
Article number2200475
JournalAdvanced Science
Issue number27
StatePublished - 23 Sep 2022

Bibliographical note

Publisher Copyright:
© 2022 The Authors. Advanced Science published by Wiley-VCH GmbH.


  • aging
  • brain organoid
  • inflammaging
  • microfluidics
  • neuroimmune interaction


Dive into the research topics of 'Understanding Immune-Driven Brain Aging by Human Brain Organoid Microphysiological Analysis Platform'. Together they form a unique fingerprint.

Cite this