Engineering blood–brain barrier microphysiological systems to model Alzheimer's disease monocyte penetration and infiltration

Alzheimer's disease (AD) is a progressive and neurodegenerative disease, predominantly causing dementia. Despite increasing clinical evidence suggesting the involvement of peripheral immune cells such as monocytes in AD pathology, the dynamic penetration and infiltration of monocytes crossing blood-brain barrier (BBB) and inducing neuroinflammation is largely understudied in an AD brain. Herein, we engineer BBB-like microphysiological system (BBB-MPS) models for recapitulating the dynamic penetration and infiltration of monocytes in an AD patient's brain. Each BBB-MPS model can be engineered by integrating a functional BBB-like structure on a human cortical organoid using a 3D-printed device within a well of a plate. By coculturing these BBB-MPS models with monocytes from AD patients and age-matched healthy donors, we found that AD monocytes exhibit significantly greater BBB penetration and brain infiltration compared to age-matched control monocytes. Moreover, we also tested the interventions including Minocycline and Bindarit, and found they can effectively inhibit AD monocyte infiltration, subsequently reducing neuroinflammation and neuronal apoptosis. We believe these scalable and user-friendly BBB-MPS models may hold promising potential in modeling and advancing therapeutics for neurodegenerative and neuroinflammatory diseases.

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Publication Details

Journal
Biomaterials Science
Published
2025-01-01
DOI
https://doi.org/10.1039/d5bm00204d
Citations
4
Primary Topic
Neuroinflammation and Neurodegeneration Mechanisms
Type
article
Field-Weighted Citation Impact
3.37

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article

Engineering blood–brain barrier microphysiological systems to model Alzheimer's disease monocyte penetration and infiltration

Xiangdi Mao, Scott G. Canfield, Feng Guo, Yang Yang et al.
4 citations
Biomaterials Science
Neuroinflammation and Neurodegeneration Mechanisms
3.37
article

Engineering blood–brain barrier microphysiological systems to model Alzheimer's disease monocyte penetration and infiltration

Xiangdi Mao, Scott G. Canfield, Feng Guo, Yang Yang, Longjun Gu, Kaiyuan Yang, Chunhui Tian, Donghui Zhu, Mingxia Gu
article en
4 citations

Abstract

Alzheimer's disease (AD) is a progressive and neurodegenerative disease, predominantly causing dementia. Despite increasing clinical evidence suggesting the involvement of peripheral immune cells such as monocytes in AD pathology, the dynamic penetration and infiltration of monocytes crossing blood-brain barrier (BBB) and inducing neuroinflammation is largely understudied in an AD brain. Herein, we engineer BBB-like microphysiological system (BBB-MPS) models for recapitulating the dynamic penetration and infiltration of monocytes in an AD patient's brain. Each BBB-MPS model can be engineered by integrating a functional BBB-like structure on a human cortical organoid using a 3D-printed device within a well of a plate. By coculturing these BBB-MPS models with monocytes from AD patients and age-matched healthy donors, we found that AD monocytes exhibit significantly greater BBB penetration and brain infiltration compared to age-matched control monocytes. Moreover, we also tested the interventions including Minocycline and Bindarit, and found they can effectively inhibit AD monocyte infiltration, subsequently reducing neuroinflammation and neuronal apoptosis. We believe these scalable and user-friendly BBB-MPS models may hold promising potential in modeling and advancing therapeutics for neurodegenerative and neuroinflammatory diseases.

Biomaterials ScienceVol. 13(13)
University of California, Los Angeles (US), Indiana University Bloomington (US), Broad Center (US), Indiana University School of Medicine, Indiana University – Purdue University Indianapolis (US), Indiana University (US), Stony Brook University (US), Indiana State University (US)
National Science Foundation, Indiana University, National Institutes of Health
Openalex Percentile: Top 8%
Neuroinflammation and Neurodegeneration Mechanisms
3.37
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