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Updated: Sep 13, 2025

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A Human Cerebral Organoid Model of Neural Cell Transplantation
Published on: July 21, 2023
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Brain Organoid Transplantation: A Comprehensive Guide to the Latest Advances and Practical Applications-A Systematic
Yu-Ping Shen1,2, Zaal Kokaia1
1Laboratory of Stem Cells and Restorative Neurology, Lund Stem Cell Center, Lund University, 22184 Lund, Sweden.
Cells
|July 25, 2025
Summary
Brain organoid transplantation shows promise for neural repair and disease modeling, with successful integration and function observed in vivo. Further research is needed to address challenges and ethical considerations.
Area of Science:
- Neuroscience
- Regenerative Medicine
- Biotechnology
Background:
- Brain organoids are 3D models of brain tissue that mimic neurogenesis.
- Transplantation of brain organoids is an emerging technique with potential clinical applications.
- Recent advancements have enhanced the complexity and functionality of brain organoids.
Purpose of the Study:
- To systematically review the methodology, findings, and applications of brain organoid transplantation.
- To summarize the current evidence on the efficacy and challenges of this innovative technique.
- To provide an update on the potential of brain organoids in research and clinical settings.
Main Methods:
- Systematic literature review of PubMed and Embase databases.
- Inclusion of studies published between 2013 and 2024.
- Analysis of 24 selected articles meeting predefined criteria.
Main Results:
- Brain organoid transplantation demonstrated successful graft survival, neural proliferation, differentiation, and maturation.
- Evidence of axonal growth and functional integration into host neuronal circuits was observed.
- Applications include therapeutic uses, cell study platforms, and disease modeling.
Conclusions:
- Brain organoid transplantation is a promising innovative method with significant potential.
- Challenges include study heterogeneity, technical hurdles, and ethical considerations.
- Future research should focus on addressing these limitations for broader application.

