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Potential use of iPSCs for disease modeling, drug screening, and cell-based therapy for Alzheimer's disease

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出版社

BMC
DOI: 10.1186/s11658-023-00504-2

关键词

Alzheimer's diseases; Induced pluripotent stem cells; iPSCs; Disease modeling; Drug development; Mechanism of diseases; Regenerative medicine; Cell-based therapies

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Alzheimer's disease is a chronic illness with no known cure. The development of induced pluripotent stem cells (iPSCs) has provided a new approach for modeling the disease, allowing researchers to better understand its underlying mechanisms. Utilizing cells derived from patients, it is now possible to create accurate models of Alzheimer's disease for drug development and treatment.
Alzheimer's disease (AD) is a chronic illness marked by increasing cognitive decline and nervous system deterioration. At this time, there is no known medication that will stop the course of Alzheimer's disease; instead, most symptoms are treated. Clinical trial failure rates for new drugs remain high, highlighting the urgent need for improved AD modeling for improving understanding of the underlying pathophysiology of disease and improving drug development. The development of induced pluripotent stem cells (iPSCs) has made it possible to model neurological diseases like AD, giving access to an infinite number of patient-derived cells capable of differentiating neuronal fates. This advance will accelerate Alzheimer's disease research and provide an opportunity to create more accurate patient-specific models of Alzheimer's disease to support pathophysiological research, drug development, and the potential application of stem cell-based therapeutics. This review article provides a complete summary of research done to date on the potential use of iPSCs from AD patients for disease modeling, drug discovery, and cell-based therapeutics. Current technological developments in AD research including 3D modeling, genome editing, gene therapy for AD, and research on familial (FAD) and sporadic (SAD) forms of the disease are discussed. Finally, we outline the issues that need to be elucidated and future directions for iPSC modeling in AD.

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