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Concise Review: Quantitative Detection and Modeling the In Vivo Kinetics of Therapeutic Mesenchymal Stem/Stromal Cells

Mesenchymal stem/stromal cells (MSCs) present a promising tool in cell‐based therapy for treatment of various diseases. Currently, optimization of treatment protocols in clinical studies is complicated by the variations in cell dosing, diverse methods used to deliver MSCs, and the variety of methods...

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Autores principales: Brooks, Anastasia, Futrega, Kathryn, Liang, Xiaowen, Hu, Xiaoling, Liu, Xin, Crawford, Darrell H. G., Doran, Michael R., Roberts, Michael S., Wang, Haolu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5746161/
https://www.ncbi.nlm.nih.gov/pubmed/29210198
http://dx.doi.org/10.1002/sctm.17-0209
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author Brooks, Anastasia
Futrega, Kathryn
Liang, Xiaowen
Hu, Xiaoling
Liu, Xin
Crawford, Darrell H. G.
Doran, Michael R.
Roberts, Michael S.
Wang, Haolu
author_facet Brooks, Anastasia
Futrega, Kathryn
Liang, Xiaowen
Hu, Xiaoling
Liu, Xin
Crawford, Darrell H. G.
Doran, Michael R.
Roberts, Michael S.
Wang, Haolu
author_sort Brooks, Anastasia
collection PubMed
description Mesenchymal stem/stromal cells (MSCs) present a promising tool in cell‐based therapy for treatment of various diseases. Currently, optimization of treatment protocols in clinical studies is complicated by the variations in cell dosing, diverse methods used to deliver MSCs, and the variety of methods used for tracking MSCs in vivo. Most studies use a dose escalation approach, and attempt to correlate efficacy with total cell dose. Optimization could be accelerated through specific understanding of MSC distribution in vivo, long‐term viability, as well as their biological fate. While it is not possible to quantitatively detect MSCs in most targeted organs over long time periods after systemic administration in clinical trials, it is increasingly possible to apply pharmacokinetic modeling to predict their distribution and persistence. This Review outlines current understanding of the in vivo kinetics of exogenously administered MSCs, provides a critical analysis of the methods used for quantitative MSC detection in these studies, and discusses the application of pharmacokinetic modeling to these data. Finally, we provide insights on and perspectives for future development of effective therapeutic strategies using pharmacokinetic modeling to maximize MSC therapy and minimize potential side effects. Stem Cells Translational Medicine 2018;7:78–86
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spelling pubmed-57461612018-01-03 Concise Review: Quantitative Detection and Modeling the In Vivo Kinetics of Therapeutic Mesenchymal Stem/Stromal Cells Brooks, Anastasia Futrega, Kathryn Liang, Xiaowen Hu, Xiaoling Liu, Xin Crawford, Darrell H. G. Doran, Michael R. Roberts, Michael S. Wang, Haolu Stem Cells Transl Med Translational Research Articles and Reviews Mesenchymal stem/stromal cells (MSCs) present a promising tool in cell‐based therapy for treatment of various diseases. Currently, optimization of treatment protocols in clinical studies is complicated by the variations in cell dosing, diverse methods used to deliver MSCs, and the variety of methods used for tracking MSCs in vivo. Most studies use a dose escalation approach, and attempt to correlate efficacy with total cell dose. Optimization could be accelerated through specific understanding of MSC distribution in vivo, long‐term viability, as well as their biological fate. While it is not possible to quantitatively detect MSCs in most targeted organs over long time periods after systemic administration in clinical trials, it is increasingly possible to apply pharmacokinetic modeling to predict their distribution and persistence. This Review outlines current understanding of the in vivo kinetics of exogenously administered MSCs, provides a critical analysis of the methods used for quantitative MSC detection in these studies, and discusses the application of pharmacokinetic modeling to these data. Finally, we provide insights on and perspectives for future development of effective therapeutic strategies using pharmacokinetic modeling to maximize MSC therapy and minimize potential side effects. Stem Cells Translational Medicine 2018;7:78–86 John Wiley and Sons Inc. 2017-12-06 /pmc/articles/PMC5746161/ /pubmed/29210198 http://dx.doi.org/10.1002/sctm.17-0209 Text en © 2017 The Authors stem cells translational medicine published by Wiley Periodicals, Inc. on behalf of AlphaMed Press This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Translational Research Articles and Reviews
Brooks, Anastasia
Futrega, Kathryn
Liang, Xiaowen
Hu, Xiaoling
Liu, Xin
Crawford, Darrell H. G.
Doran, Michael R.
Roberts, Michael S.
Wang, Haolu
Concise Review: Quantitative Detection and Modeling the In Vivo Kinetics of Therapeutic Mesenchymal Stem/Stromal Cells
title Concise Review: Quantitative Detection and Modeling the In Vivo Kinetics of Therapeutic Mesenchymal Stem/Stromal Cells
title_full Concise Review: Quantitative Detection and Modeling the In Vivo Kinetics of Therapeutic Mesenchymal Stem/Stromal Cells
title_fullStr Concise Review: Quantitative Detection and Modeling the In Vivo Kinetics of Therapeutic Mesenchymal Stem/Stromal Cells
title_full_unstemmed Concise Review: Quantitative Detection and Modeling the In Vivo Kinetics of Therapeutic Mesenchymal Stem/Stromal Cells
title_short Concise Review: Quantitative Detection and Modeling the In Vivo Kinetics of Therapeutic Mesenchymal Stem/Stromal Cells
title_sort concise review: quantitative detection and modeling the in vivo kinetics of therapeutic mesenchymal stem/stromal cells
topic Translational Research Articles and Reviews
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5746161/
https://www.ncbi.nlm.nih.gov/pubmed/29210198
http://dx.doi.org/10.1002/sctm.17-0209
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