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

Cell Mol Biol Lett. 2023 Nov 30;28(1):98. doi: 10.1186/s11658-023-00504-2.

Abstract

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.

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

Publication types

  • Review

MeSH terms

  • Alzheimer Disease* / drug therapy
  • Alzheimer Disease* / genetics
  • Drug Discovery
  • Drug Evaluation, Preclinical
  • Humans
  • Induced Pluripotent Stem Cells* / physiology
  • Neurons