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骨免疫调节模型在评估成骨生物材料中的应用

Applications of Osteoimmunomodulation Models in Evaluating Osteogenic Biomaterials.

作者信息

Wang Yuhan, He Yuzhu, Zang Yaran, Zhang Zijiao, Li Guangyao, Fu Wenqi, Ma Guowu

机构信息

School of Stomatology, Dalian Medical University, Lvshun South Road, Dalian 116044, China.

Harbin Institute of Technology Zhengzhou Research Institute, No. 26, Longyuan East Seventh Street, Zhengdong New District, Zhengzhou 450011, China.

出版信息

J Funct Biomater. 2025 Jun 11;16(6):217. doi: 10.3390/jfb16060217.

DOI:10.3390/jfb16060217
PMID:40558903
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12194544/
Abstract

The development of osteogenic biomaterials relies on updates in research methodologies. Establishing reasonable modes is the basis for obtaining reliable experimental conclusions. With the advancement in bone immunology, osteoimmunomodulatory properties have become one of the crucial indexes for evaluating osteogenic biomaterials. Summarizing the current models of bone immunomodulation is beneficial for optimizing experimental protocols and promoting the clinical application of osteogenic biomaterials. In this review, we introduced the crosstalk between the skeletal system and the immune system, in particular, the roles of different immune cells in the process of bone regeneration. Moreover, the mechanisms of osteogenic biomaterials in regulating the osteoimmune microenvironment were analyzed, followed by summarizing the benefits and limitations of current osteoimmunomodulation models in evaluating osteogenic biomaterials. Finally, we discussed the expected future directions of the applications of osteoimmunomodulation models.

摘要

成骨生物材料的发展依赖于研究方法的更新。建立合理的模式是获得可靠实验结论的基础。随着骨免疫学的进展,骨免疫调节特性已成为评估成骨生物材料的关键指标之一。总结当前的骨免疫调节模型有助于优化实验方案并促进成骨生物材料的临床应用。在这篇综述中,我们介绍了骨骼系统与免疫系统之间的相互作用,特别是不同免疫细胞在骨再生过程中的作用。此外,分析了成骨生物材料调节骨免疫微环境的机制,随后总结了当前骨免疫调节模型在评估成骨生物材料方面的优点和局限性。最后,我们讨论了骨免疫调节模型应用的未来预期方向。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca95/12194544/81b05b0d1860/jfb-16-00217-g009a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca95/12194544/48669671cb17/jfb-16-00217-g002.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca95/12194544/55f0f435d84f/jfb-16-00217-g005.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca95/12194544/051ef6151550/jfb-16-00217-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca95/12194544/81b05b0d1860/jfb-16-00217-g009a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca95/12194544/48669671cb17/jfb-16-00217-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca95/12194544/561363e66cbb/jfb-16-00217-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca95/12194544/b2b2ad37c10f/jfb-16-00217-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca95/12194544/d735660e77e0/jfb-16-00217-g008a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca95/12194544/bf59d7522e13/jfb-16-00217-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca95/12194544/55f0f435d84f/jfb-16-00217-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca95/12194544/2c2ff4372aea/jfb-16-00217-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca95/12194544/051ef6151550/jfb-16-00217-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ca95/12194544/81b05b0d1860/jfb-16-00217-g009a.jpg

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