Back to Search Start Over

Biohybrid Nanorobots Carrying Glycoengineered Extracellular Vesicles Promote Diabetic Wound Repair through Dual‐Enhanced Cell and Tissue Penetration.

Authors :
Yan, Chengqi
Feng, Kai
Bao, Bingkun
Chen, Jing
Xu, Xiang
Jiang, Guoyong
Wang, Yufeng
Guo, Jiahe
Jiang, Tao
Kang, Yu
Wang, Cheng
Li, Chengcheng
Zhang, Chi
Nie, Pengjuan
Liu, Shuoyuan
Machens, Hans‐Günther
Zhu, Linyong
Yang, Xiaofan
Niu, Ran
Chen, Zhenbing
Source :
Advanced Science; 8/21/2024, Vol. 11 Issue 31, p1-16, 16p
Publication Year :
2024

Abstract

Considerable progress has been made in the development of drug delivery systems for diabetic wounds. However, underlying drawbacks, such as low delivery efficiency and poor tissue permeability, have rarely been addressed. In this study, a multifunctional biohybrid nanorobot platform comprising an artificial unit and several biological components is constructed. The artificial unit is a magnetically driven nanorobot surface modified with antibacterial 2‐hydroxypropyltrimethyl ammonium chloride chitosan, which enables the entire platform to move and has excellent tissue penetration capacity. The biological components are two‐step engineered extracellular vesicles that are first loaded with mangiferin, a natural polyphenolic compound with antioxidant properties, and then glycoengineered on the surface to enhance cellular uptake efficiency. As expected, the platform is more easily absorbed by endothelial cells and fibroblasts and exhibits outstanding dermal penetration performance and antioxidant properties. Encouraging results are also observed in infected diabetic wound models, showing improved wound re‐epithelialization, collagen deposition, angiogenesis, and accelerated wound healing. Collectively, a biohybrid nanorobot platform that possesses the functionalities of both artificial units and biological components serves as an efficient delivery system to promote diabetic wound repair through dual‐enhanced cell and tissue penetration and multistep interventions. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
21983844
Volume :
11
Issue :
31
Database :
Complementary Index
Journal :
Advanced Science
Publication Type :
Academic Journal
Accession number :
179140703
Full Text :
https://doi.org/10.1002/advs.202404456