Current Status and Future Prospects of Genome-Scale Metabolic Modeling to Optimize the Use of Mesenchymal Stem Cells in Regenerative Medicine

Frontiers in Bioengineering and Biotechnology

Óttar Rolfsson¹  Sarah McGarrity¹  James T. Yurkovich²  Ólafur E. Sigurjónsson³  Þóra Sigmarsdóttir³ 

[1] Faculty of Medicine, School of Health Sciences, University of Iceland, Reykjavik, Iceland;Institute for Systems Biology, Seattle, WA, United States;School of Science and Engineering, Reykjavik University, Reykjavik, Iceland;The Blood Bank, Landspitali – The National University Hospital of Iceland, Reykjavik, Iceland;

关键词: MSCs;    metabolism;    personalized/precision medicine;    metabolomics;    metabolic modeling;    tissue engineering;   

DOI  :  10.3389/fbioe.2020.00239

来源: DOAJ

【 摘 要 】

Mesenchymal stem cells are a promising source for externally grown tissue replacements and patient-specific immunomodulatory treatments. This promise has not yet been fulfilled in part due to production scaling issues and the need to maintain the correct phenotype after re-implantation. One aspect of extracorporeal growth that may be manipulated to optimize cell growth and differentiation is metabolism. The metabolism of MSCs changes during and in response to differentiation and immunomodulatory changes. MSC metabolism may be linked to functional differences but how this occurs and influences MSC function remains unclear. Understanding how MSC metabolism relates to cell function is however important as metabolite availability and environmental circumstances in the body may affect the success of implantation. Genome-scale constraint based metabolic modeling can be used as a tool to fill gaps in knowledge of MSC metabolism, acting as a framework to integrate and understand various data types (e.g., genomic, transcriptomic and metabolomic). These approaches have long been used to optimize the growth and productivity of bacterial production systems and are being increasingly used to provide insights into human health research. Production of tissue for implantation using MSCs requires both optimized production of cell mass and the understanding of the patient and phenotype specific metabolic situation. This review considers the current knowledge of MSC metabolism and how it may be optimized along with the current and future uses of genome scale constraint based metabolic modeling to further this aim.

【 授权许可】

Unknown