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Protein-Induced Pluripotent Stem Cells Ameliorate and Reduce A beta Deposition of Alzheimer's Disease
- Protein-Induced Pluripotent Stem Cells Ameliorate and Reduce A beta Deposition of Alzheimer's Disease
- Cha, Moon-Yong; Kwon, Yoo-Wook; Ahn, Hyo-Suk; Jeong, Hyobin; Lee, Yong Yook; Moon, Minho; Baik, Sung Hoon; Kim, Dong Kyu; Song, Hyundong; Yi, Eugene C.; Hwang, Daehee; Kim, Hyo-Soo; Mook-Jung, Inhee
- DGIST Authors
- Hwang, Daehee
- Issue Date
- Stem Cells Translational Medicine, 6(1), 293-305
- Article Type
- 5XFAD mice; Activation; Alzheimer' s Disease (AD); Alzheimer' s Disease (AD); Amyloid Beta (A Beta); Central Nervous System; Generation; Identification; Mechanisms; Mice; Mouse; Oligodendrocyte; Oligodendrocyte; Progenitor Cells; Protein Ipsc; Proteomic Analysis
- Transplantation of stem cells into the brain attenuates functional deficits in the central nervous system via cell replacement, the release of specific neurotransmitters, and the production of neurotrophic factors. To identify patient-specific and safe stem cells for treating Alzheimer’s disease (AD), we generated induced pluripotent stem cells (iPSCs) derived from mouse skin fibroblasts by treating protein extracts of embryonic stem cells. These reprogrammed cells were pluripotent but nontumorigenic. Here, we report that protein-iPSCs differentiated into glial cells and decreased plaque depositions in the 5XFAD transgenic AD mouse model. We also found that transplanted protein-iPSCs mitigated the cognitive dysfunction observed in these mice. Proteomic analysis revealed that oligodendrocyte-related genes were upregulated in brains injected with protein-iPSCs, providing new insights into the potential function of protein-iPSCs. Taken together, our data indicate that protein-iPSCs might be a promising therapeutic approach for AD. © 2016 The Authors.
- AlphaMed Press
- Related Researcher
Hwang, Dae Hee
Systems Biology and Medicine Lab
Multilayered spatiotemporal networks; Regulatory motifs or pathways; Metabolite-protein networks; Network stochasticity; Proteomics and informatics
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