A reproducible human brain tissue model to study physiological and disease-associated microglia phenotypes

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Authors: Julien Klimmt, Carolina Cardoso Gonçalves, Jessica Valentina Montgomery, Stephan A. Müller, Merle Bublitz, Severin Filser, Lars Paeger, Brigitte Nuscher, Angelika Dannert, Sigrun Roeber, M Veronica Pravata, Martina Schifferer
+15 more Joshua James Shrouder, Nathalie Schulz, Judit González Gallego, Silvia Cappello, Thomas Misgeld, Nikolaus Plesnila, Eduardo Beltran, Jochen Wolfgang Herms, Elena De Domenico, Marc D. Beyer, Joachim L. Schultze, Christian Haass, Stefan F. Lichtenthaler, Caterina Carraro, Dominik Paquet
Cited by: 1
References: 109

Abstract

Abstract Stem-cell-based in vitro models offer promising potential to elucidate human brain cell functions and interactions under physiological and pathological conditions. However, harnessing this potential is impaired by low reproducibility, maturity, or cell-type diversity of existing models. Especially, prolonged incorporation of mature microglia and studies of neuroinflammation have proven challenging. Here, we developed a 3D cortical brain tissue model (3BTM) containing neurons, astrocytes, and microglia with high reproducibility, maturity, and viability. 3BTMs show morphological, functional, and proteomic maturation of all cell types, leading to high similarity to their in vivo counterparts. Incorporated microglia survive for over 6 months and display mature morphology, functions, and gene expression. Importantly, when engineered to model Alzheimer’s disease pathology, 3BTMs recapitulate key disease hallmarks including amyloid deposition, increased phospho-Tau levels, and neuroinflammation, with microglia shifting their transcriptional landscape to disease-relevant signatures. Together, our model offers unprecedented possibilities for studying physiological and pathological states of human brain tissue and translational applications.

Fields of Study & Subjects

Neuroinflammation and Neurodegeneration Mechanisms Neurogenesis and neuroplasticity mechanisms Single-cell and spatial transcriptomics

Publication details

Journal / source
bioRxiv (Cold Spring Harbor Laboratory)
Publisher
openRxiv
Publication date
21 January 2026
Document type
Preprint