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  5. Improved pharmacodynamics of epidermal growth factor via microneedles-based self-powered transcutaneous electrical stimulation

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Article
en
2022

Improved pharmacodynamics of epidermal growth factor via microneedles-based self-powered transcutaneous electrical stimulation

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0 Files

en
2022
Vol 13 (1)
Vol. 13
DOI: 10.1038/s41467-022-34716-5

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Zhong Lin Wang
Zhong Lin Wang

Beijing Institute of Technology

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Yuan Yang
Ruizeng Luo
Shengyu Chao
+8 more

Abstract

Epidermal growth factor is an excellent drug for promoting wound healing; however, its conventional administration strategies are associated with pharmacodynamic challenges, such as low transdermal permeability, reduction, and receptor desensitization. Here, we develop a microneedle-based self-powered transcutaneous electrical stimulation system (mn-STESS) by integrating a sliding free-standing triboelectric nanogenerator with a microneedle patch to achieve improved epidermal growth factor pharmacodynamics. We show that the mn-STESS facilitates drug penetration and utilization by using microneedles to pierce the stratum corneum. More importantly, we find that it converts the mechanical energy of finger sliding into electricity and mediates transcutaneous electrical stimulation through microneedles. We demonstrate that the electrical stimulation applied by mn-STESS acts as an "adjuvant" that suppresses the reduction of epidermal growth factor by glutathione and upregulates its receptor expression in keratinocyte cells, successfully compensating for receptor desensitization. Collectively, this work highlights the promise of self-powered electrical adjuvants in improving drug pharmacodynamics, creating combinatorial therapeutic strategies for traditional drugs.

How to cite this publication

Yuan Yang, Ruizeng Luo, Shengyu Chao, Jiangtao Xue, Dongjie Jiang, Yun Hao Feng, Xin Dong Guo, Dan Luo, Ping Zhang, Zhou Li, Zhong Lin Wang (2022). Improved pharmacodynamics of epidermal growth factor via microneedles-based self-powered transcutaneous electrical stimulation. , 13(1), DOI: https://doi.org/10.1038/s41467-022-34716-5.

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Publication Details

Type

Article

Year

2022

Authors

11

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1038/s41467-022-34716-5

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