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Peripheral monocytes are crucial components of the human immune system that may play a role in neuroinflammation, but their contribution to AD pathogenesis is largely understudied partially due to the lack of appropriate human models. Here, we present human cortical organoid microphysiological systems (hCO-MPSs) for modeling dynamic AD neuroinflammation mediated by monocytes. By incorporating 3D printed devices into an existing cortical organoid protocol, 96 hCO-MPSs can be established with significantly reduced necrosis and hypoxia as well as enhanced viability within a commonly used 96 well plate, and each hCO-MPS consists of a doughnut-shaped hCO and a 3D printed device per well. Using this approach, monocytes from AD patients exhibit higher infiltration, decreased amyloid-beta (A\u03b2) clearance, and stronger inflammatory responses compared to monocytes from age-matched control donors. Moreover, pro-inflammatory effects such as elevated astrocyte activation and neuronal apoptosis were observed to be induced by AD monocytes. Furthermore, the significant increase in the expression of IL1B and CCL3, both at the transcriptional and protein levels, indicated the pivotal role of these cytokine and chemokine in monocyte-mediated AD neuroinflammation. Our findings provide insight for understanding monocytes\u2019 role in AD pathogenesis, and the user-friendly MPS models we present are compatible with existing laboratory settings, highlighting their potential for modeling neuroinflammation and developing new therapeutics for various neuroinflammatory diseases.<\/jats:p>","DOI":"10.1101\/2025.02.16.638539","type":"posted-content","created":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T07:06:19Z","timestamp":1740121579000},"source":"Crossref","is-referenced-by-count":3,"title":["Understanding monocyte-driven neuroinflammation in Alzheimer\u2019s disease using human brain organoid microphysiological systems"],"prefix":"10.64898","author":[{"given":"Chunhui","family":"Tian","sequence":"first","affiliation":[{"name":"Department of Intelligent Systems Engineering, Indiana University Bloomington, IN, 47405, United 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