A physiologically based kinetic model for elucidating the in vivo distribution of administered mesenchymal stem cells

Wang, Haolu, Liang, Xiaowen, Xu, Zhi Ping, Crawford, Darrell H. G, Liu, Xin and Roberts, Michael S. (2016) A physiologically based kinetic model for elucidating the in vivo distribution of administered mesenchymal stem cells. Scientific Reports, 6 e22293.1-e22293.12. doi:10.1038/srep22293


Author Wang, Haolu
Liang, Xiaowen
Xu, Zhi Ping
Crawford, Darrell H. G
Liu, Xin
Roberts, Michael S.
Title A physiologically based kinetic model for elucidating the in vivo distribution of administered mesenchymal stem cells
Formatted title
A physiologically based kinetic model for elucidating the in vivo distribution of administered mesenchymal stem cells
Journal name Scientific Reports   Check publisher's open access policy
ISSN 2045-2322
Publication date 2016-02-29
Year available 2016
Sub-type Article (original research)
DOI 10.1038/srep22293
Open Access Status DOI
Volume 6
Start page e22293.1
End page e22293.12
Total pages 12
Place of publication London, United Kingdom
Publisher Nature Publishing Group
Collection year 2017
Language eng
Formatted abstract
Although mesenchymal stem cells (MSCs) present a promising tool in cell therapy for the treatment of various diseases, the in vivo distribution of administered MSCs has still been poorly understood, which hampers the precise prediction and evaluation of their therapeutic efficacy. Here, we developed the first model to characterize the physiological kinetics of administered MSCs based on direct visualization of cell spatiotemporal disposition by intravital microscopy and assessment of cell quantity using flow cytometry. This physiologically based kinetic model was validated with multiple external datasets, indicating potential inter-route and inter-species predictive capability. Our results suggest that the targeting efficiency of MSCs is determined by the lung retention and interaction between MSCs and target organs, including cell arrest, depletion and release. By adapting specific parameters, this model can be easily applied to abnormal conditions or other types of circulating cells for designing treatment protocols and guiding future experiments.
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

 
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