Aug 2026· International Journal of Biology and Life Sciences· 0 citations· 5 references
Pluripotent Stem Cells Research
TL;DR
The article traces the trend of directed differentiation technologies evolving from two-dimensional culture to three-dimensional organoids and details their practical applications in diseases such as stroke, Alzheimer's disease, and spinal cord injury—particularly in spinal cord injury models, where transplanted cells have achieved long-distance axonal regeneration and circuit reconstruction.
Abstract
This review systematically outlines the technological framework and clinical applications of neural regeneration mediated by pluripotent stem cells (ESCs/iPSCs). The article first compares the fundamental differences between the two: ESCs face ethical controversies regarding their embryonic origin and challenges related to immune rejection; while iPSCs support autologous transplantation, their reprogramming process may lead to genomic abnormalities, and the presence of residual undifferentiated cells poses a tumorigenic risk. The article traces the trend of directed differentiation technologies evolving from two-dimensional culture to three-dimensional organoids and details their practical applications in diseases such as stroke, Alzheimer's disease, and spinal cord injury—particularly in spinal cord injury models, where transplanted cells have achieved long-distance axonal regeneration and circuit reconstruction. Addressing core bottlenecks currently facing the field—such as low differentiation efficiency, difficulties in functional integration, and tumorigenicity—this paper explores breakthrough pathways through cutting-edge technologies including gene editing, organoids, and AI-enabled approaches. Finally, it compares the clinical advantages and disadvantages of ESCs and iPSCs, noting that while challenges remain, the deep integration of interdisciplinary technologies is accelerating the translation of stem cell therapies into standard clinical treatments, bringing revolutionary hope to patients with neurological diseases.
This review summarizes the trajectory of iPSC reprogramming technologies and identifies the core “translational triltrilas”, namely, the inherent tradeoffs between security, homogeneity, and scalability, and proposes a comprehensive strategy to overcome these bottlenecks.
Meng-Meng Chen, N. Zuo, Qi Wang et al.· Frontiers in Cell and Develo...· 0 citations
This Review evaluates the technological and translational trajectories that have defined the iPSC era and analyzes the operational barriers to therapeutic development, envisioning a paradigm shift in which iPSC-derived interventions transition from bespoke experimental models toward standardized, engineered biological...
Jaecheol Lee, Todd J. Herron, L. Studer et al.· Nature Medicine· 0 citations
Twenty years after the discovery of induced pluripotent stem cells, the field has progressed from patient-specific disease modeling toward cell-based therapies for neurodegenerative disorders. Parkinson's disease has emerged as the leading model for neuronal replacement, whereas Huntington's disease, Alzheimer's diseas...
ABSTRACT Direct reprogramming, which converts somatic cells from one lineage to another without passing through a pluripotent state, represents a promising therapeutic strategy for regenerative medicine. Recent advancements in identifying reprogramming factors and understanding molecular barriers have enabled efficient...
R. Singh, Mauro Calvoli, Kyeong Kyu Kim· Advancement of science· 0 citations
A comprehensive literature review of preclinical models and clinical trials focusing on mesenchymal, hematopoietic, and pluripotent stem cells, evaluating their efficacy, safety, and manufacturing challenges found stem cell therapies demonstrate remarkable healing potential.
Somayeh Shamlou, H. Rostami, Ali Hassanzadeh et al.· Journal of Clinical and Tran...· 0 citations
Zero-knowledge proofs can verify computing results without rerunning workloads or exposing sensitive data. Magnetar helps bring them into the mainstream with support for standard programming languages, major speed gains, and quantum-resistant security. The post Proof-based general-purpose computing with Magnetar appeared first on Microsoft Research.