Dissecting Alzheimer's disease pathogenesis in human 2D and 3D models
The incidence of Alzheimer’s disease is increasing with the aging population, and it has become one of the main health concerns of modern society. The dissection of the underlying pathogenic mechanisms and the development of effective therapies remain extremely challenging, also because available an...
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Veröffentlicht in: | Molecular and cellular neuroscience 2021-01, Vol.110, p.103568-103568, Article 103568 |
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Sprache: | eng |
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Zusammenfassung: | The incidence of Alzheimer’s disease is increasing with the aging population, and it has become one of the main health concerns of modern society. The dissection of the underlying pathogenic mechanisms and the development of effective therapies remain extremely challenging, also because available animal and cell culture models do not fully recapitulate the whole spectrum of pathological changes. The advent of human pluripotent stem cells and cell reprogramming has provided new prospects for tackling these challenges in a human and even patient-specific setting. Yet, experimental modeling of non-cell autonomous and extracellular disease-related alterations has remained largely inaccessible. These limitations are about to be overcome by advances in the development of 3D cell culture systems including organoids, neurospheroids and matrix-embedded 3D cultures, which have been shown to recapitulate extracellular pathologies such as plaque formation in vitro. Recent xenograft studies have even taken human stem cell-based disease modeling to an in vivo scenario where grafted neurons are probed in a disease background in the context of a rodent brain. Here, we review the latest developments in this emerging field along with their advantages, challenges, and future prospects.
•IPS cells provide prospects for modeling AD in patient backgrounds•Genome editing increases the fidelity of stem cell-based disease models•Organoids and 3D matrix cultures provide access to extracellular pathologies•Xenografts offer a gateway to in vivo disease modeling using human cells |
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ISSN: | 1044-7431 1095-9327 |
DOI: | 10.1016/j.mcn.2020.103568 |