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

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


Title: Current Status and Future Prospects of Genome-Scale Metabolic Modeling to Optimize the Use of Mesenchymal Stem Cells in Regenerative Medicine
Author: Sigmarsdóttir, Þóra
McGarrity, Sarah   orcid.org/0000-0002-2878-6194
Rolfsson, Óttar   orcid.org/0000-0003-4258-6057
Yurkovich, James T.
Sigurjónsson, Ólafur E.
Date: 2020-03-31
Language: English
Scope: 239
University/Institute: Háskólinn í Reykjavík
Reykjavik University
Háskóli Íslands
University of Iceland
School: Tæknisvið (HR)
School of Technology (RU)
Heilbrigðisvísindasvið (HÍ)
School of Health Sciences (UI)
Department: Verkfræðideild (HR)
Department of Engineering (RU)
Læknadeild (HÍ)
Faculty of Medicine (UI)
ISSN: 2296-4185
DOI: 10.3389/fbioe.2020.00239
Subject: Biotechnology; Bioengineering; Histology; Biomedical Engineering; MSCs; Marrow stromal cells; Metabolism; Personalized/precision medicine; Metabolomics; Metabolic modeling; Tissue engineering; Bone marrow; Líftækni; Lífefnafræði; Vefjafræði; Lífeindafræði; Verkfræði; Beinmergur; Frumur; Efnaskipti; Lækningar; Frumulíffræði
URI: https://hdl.handle.net/20.500.11815/2194

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Citation:

Sigmarsdottir, T., McGarrity, S., Rolfsson, O., Yurkovich, J. T., & Sigurjonsson, O. E. (2020). 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, 8, 239. https://doi.org/10.3389/fbioe.2020.00239

Abstract:

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.

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This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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