Applications of stem cells and bioprinting for potential treatment of diabetes
| Autor: | Shweta Anil Kumar, Victor E. Mendez, Monica Delgado, Binata Joddar |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
0301 basic medicine
Histology β-cells Review law.invention Biomaterials 03 medical and health sciences 0302 clinical medicine Tissue engineering Pluripotent stem cells law Islet cells Genetics Pancreatic function Medicine Human embryonic stem Induced pluripotent stem cell Molecular Biology Genetics (clinical) 3D bioprinting Stem cell business.industry Mesenchymal stem cell Diabetes Bioprinting Adult human liver cells Cell Biology 3. Good health 030104 developmental biology 030220 oncology & carcinogenesis Bioink Mesenchymal stem cells business Neuroscience |
| Zdroj: | World Journal of Stem Cells |
| ISSN: | 1948-0210 |
| Popis: | Currently, there does not exist a strategy that can reduce diabetes and scientists are working towards a cure and innovative approaches by employing stem cell-based therapies. On the other hand, bioprinting technology is a novel therapeutic approach that aims to replace the diseased or lost β-cells, insulin-secreting cells in the pancreas, which can potentially regenerate damaged organs such as the pancreas. Stem cells have the ability to differentiate into various cell lines including insulin-producing cells. However, there are still barriers that hamper the successful differentiation of stem cells into β-cells. In this review, we focus on the potential applications of stem cell research and bioprinting that may be targeted towards replacing the β-cells in the pancreas and may offer approaches towards treatment of diabetes. This review emphasizes on the applicability of employing both stem cells and other cells in 3D bioprinting to generate substitutes for diseased β-cells and recover lost pancreatic functions. The article then proceeds to discuss the overall research done in the field of stem cell-based bioprinting and provides future directions for improving the same for potential applications in diabetic research. |
| Databáze: | OpenAIRE |
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