Cellular replacement and regenerative medicine therapies in ischemic stroke

Author:

Thwaites John W12,Reebye Vikash2,Mintz Paul2,Levicar Natasa2,Habib Nagy3

Affiliation:

1. Advanced Centre for Biochemical Engineering, University College London, Torrington Place, London WC1E 7JE, UK

2. Division of Surgery & Cancer, HPB Unit, Hammersmith Hospital, Imperial College, London, UK

3. Division of Surgery & Cancer, HPB Unit, Hammersmith Hospital, Imperial College, London, UK.

Abstract

Worldwide, tissue engineering and cellular replacement therapies are at the forefront of the regenerative medicine agenda, and researchers are addressing key diseases, including diabetes, stroke and neurological disorders. It is becoming evident that neurological cell therapy is a necessarily complex endeavor. The brain as a cellular environment is complex, with diverse cell populations, including specialized neurons (e.g., dopaminergic, motor and glutamatergic neurons), each with specific functions. The population also contains glial cells (astrocytes and oligodendrocytes) that offer the supportive network for neuronal function. Neurological disorders have wide and varied pathologies; they can affect predominantly one cell type or a multitude of cell types, which is the case for ischemic stroke. Both neuronal and glial cells are affected by stroke and, depending on the region of the brain affected, different specialized cells are influenced. This review will address currently available therapies and focus on the application and potential of cell replacement, including stem cells and immortalized cell line-derived neurons as regenerative therapies for ischemic stroke, addressing current advances and challenges ahead.

Publisher

Future Medicine Ltd

Subject

Embryology,Biomedical Engineering

Reference72 articles.

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3. BanerjeeDS. Stem cells in stroke. Presented at:Symposium in Stem Cell Repair and Regeneration. London, UK, 8 November 2010.

4. Global and regional burden of disease and risk factors, 2001: systematic analysis of population health data

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