Impact of mesenchymal stem cell size and adhesion modulation on in vivo distribution: insights from quantitative PET imaging

间充质干细胞 体内 体内分布 细胞粘附 干细胞 粘附 细胞生物学 细胞 整合素 生物物理学 化学 生物医学工程 生物 医学 生物化学 生物技术 有机化学
作者
Xin Ji,Lizhen Wang,Yong Zhong,Qian Xu,Junjie Yan,Donghui Pan,Yuping Xu,Chongyang Chen,Jing Wang,Guangji Wang,Min Yang,Tiannv Li,Lijun Tang,Xinyu Wang
出处
期刊:Stem Cell Research & Therapy [Springer Nature]
卷期号:15 (1)
标识
DOI:10.1186/s13287-024-04078-4
摘要

Abstract Background Successful engraftment and localization of mesenchymal stem cells (MSCs) within target tissues are critical factors influencing their therapeutic efficacy for tissue repair and regeneration. However, the relative contributions of biophysical factors like cell size and adhesion capacity in regulating MSC distribution in vivo remain incompletely understood. Methods Cell adhesion peptides and hanging drop method were used to modify the adhesive capacity and size of MSCs. To quantitatively track the real-time biodistribution of transplanted MSCs with defined size and adhesion profiles in living mice and rats, the non-invasive positron emission tomography (PET) imaging was applied. Results Surface modification with integrin binding peptides like RGD, GFOGER, and HAVDI reduced MSC adhesion capacity in vitro by up to 43.5% without altering cell size, but did not significantly decrease lung entrapment in vivo. In contrast, culturing MSCs as 3D spheroids for 48 h reduced their cell diameter by 34.6% and markedly enhanced their ability to pass through the lungs and migrate to other organs like the liver after intravenous administration. This size-dependent effect on MSC distribution was more pronounced in rats compared to mice, likely due to differences in pulmonary microvessel diameters between species. Conclusion Our findings reveal that cell size is a predominant biophysical regulator of MSC localization in vivo compared to adhesion capacity, providing crucial insights to guide optimization of MSC delivery strategies for enhanced therapeutic efficacy. Graphical abstract

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