Stem Cell Tracking Technologies for Neurological Regenerative Medicine Purposes
The growing field of stem cell therapy is moving toward clinical trials in a variety of applications, particularly for neurological diseases. However, this translation of cell therapies into humans has prompted a need to create innovative and breakthrough methods for stem cell tracing, to explore th...
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Format: | Article |
Language: | English |
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Wiley
2017-01-01
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Series: | Stem Cells International |
Online Access: | http://dx.doi.org/10.1155/2017/2934149 |
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author | Yongtao Zheng Jiongwei Huang Tongming Zhu Ronggang Li Zhifu Wang Fukai Ma Jianhong Zhu |
author_facet | Yongtao Zheng Jiongwei Huang Tongming Zhu Ronggang Li Zhifu Wang Fukai Ma Jianhong Zhu |
author_sort | Yongtao Zheng |
collection | DOAJ |
description | The growing field of stem cell therapy is moving toward clinical trials in a variety of applications, particularly for neurological diseases. However, this translation of cell therapies into humans has prompted a need to create innovative and breakthrough methods for stem cell tracing, to explore the migration routes and its reciprocity with microenvironment targets in the body, to monitor and track the outcome after stem cell transplantation therapy, and to track the distribution and cell viability of transplanted cells noninvasively and longitudinally. Recently, a larger number of cell tracking methods in vivo were developed and applied in animals and humans, including magnetic resonance imaging, nuclear medicine imaging, and optical imaging. This review has been intended to summarize the current use of those imaging tools in tracking stem cells, detailing their main features and drawbacks, including image resolution, tissue penetrating depth, and biosafety aspects. Finally, we address that multimodality imaging method will be a more potential tracking tool in the future clinical application. |
format | Article |
id | doaj-art-225e084ff44b401d8d8203a93fce5694 |
institution | Kabale University |
issn | 1687-966X 1687-9678 |
language | English |
publishDate | 2017-01-01 |
publisher | Wiley |
record_format | Article |
series | Stem Cells International |
spelling | doaj-art-225e084ff44b401d8d8203a93fce56942025-02-03T05:55:19ZengWileyStem Cells International1687-966X1687-96782017-01-01201710.1155/2017/29341492934149Stem Cell Tracking Technologies for Neurological Regenerative Medicine PurposesYongtao Zheng0Jiongwei Huang1Tongming Zhu2Ronggang Li3Zhifu Wang4Fukai Ma5Jianhong Zhu6Department of Neurosurgery, Fudan University Huashan Hospital, National Key Laboratory of Medical Neurobiology, The Institutes of Brain Science and the Collaborative Innovation Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai 200040, ChinaDepartment of Urinary Surgery, Zhongshan Hospital of Fudan University, Shanghai, ChinaDepartment of Neurosurgery, Fudan University Huashan Hospital, National Key Laboratory of Medical Neurobiology, The Institutes of Brain Science and the Collaborative Innovation Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai 200040, ChinaDepartment of Neurosurgery, Fudan University Huashan Hospital, National Key Laboratory of Medical Neurobiology, The Institutes of Brain Science and the Collaborative Innovation Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai 200040, ChinaDepartment of Neurosurgery, Fudan University Huashan Hospital, National Key Laboratory of Medical Neurobiology, The Institutes of Brain Science and the Collaborative Innovation Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai 200040, ChinaDepartment of Neurosurgery, Fudan University Huashan Hospital, National Key Laboratory of Medical Neurobiology, The Institutes of Brain Science and the Collaborative Innovation Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai 200040, ChinaDepartment of Neurosurgery, Fudan University Huashan Hospital, National Key Laboratory of Medical Neurobiology, The Institutes of Brain Science and the Collaborative Innovation Center for Brain Science, Shanghai Medical College, Fudan University, Shanghai 200040, ChinaThe growing field of stem cell therapy is moving toward clinical trials in a variety of applications, particularly for neurological diseases. However, this translation of cell therapies into humans has prompted a need to create innovative and breakthrough methods for stem cell tracing, to explore the migration routes and its reciprocity with microenvironment targets in the body, to monitor and track the outcome after stem cell transplantation therapy, and to track the distribution and cell viability of transplanted cells noninvasively and longitudinally. Recently, a larger number of cell tracking methods in vivo were developed and applied in animals and humans, including magnetic resonance imaging, nuclear medicine imaging, and optical imaging. This review has been intended to summarize the current use of those imaging tools in tracking stem cells, detailing their main features and drawbacks, including image resolution, tissue penetrating depth, and biosafety aspects. Finally, we address that multimodality imaging method will be a more potential tracking tool in the future clinical application.http://dx.doi.org/10.1155/2017/2934149 |
spellingShingle | Yongtao Zheng Jiongwei Huang Tongming Zhu Ronggang Li Zhifu Wang Fukai Ma Jianhong Zhu Stem Cell Tracking Technologies for Neurological Regenerative Medicine Purposes Stem Cells International |
title | Stem Cell Tracking Technologies for Neurological Regenerative Medicine Purposes |
title_full | Stem Cell Tracking Technologies for Neurological Regenerative Medicine Purposes |
title_fullStr | Stem Cell Tracking Technologies for Neurological Regenerative Medicine Purposes |
title_full_unstemmed | Stem Cell Tracking Technologies for Neurological Regenerative Medicine Purposes |
title_short | Stem Cell Tracking Technologies for Neurological Regenerative Medicine Purposes |
title_sort | stem cell tracking technologies for neurological regenerative medicine purposes |
url | http://dx.doi.org/10.1155/2017/2934149 |
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