Nanorobot-Cell Communication via <i>In Situ</i> Generation of Biochemical Signals: Toward Regenerative Therapies

Achieving precise control of cellular processes drives possibilities for next-generation therapeutic approaches. However, existing technologies for influencing cell behavior primarily rely on specific drug delivery, limiting their ability to mimic natural cellular communication processes. In this work, we developed glucose-powered gold-silica (Au-SiO<sub>2</sub>) nanorobots that induce cell migration by generating steady-state hydrogen peroxide (H<sub>2</sub>O<sub>2</sub>) as a biochemical signaling molecule to mimic natural cellular communication with high spatial resolution. These nanorobots leverage the unique 2-in-1 catalytic activity of gold nanoparticles for glucose oxidation and H<sub>2</sub>O<sub>2</sub> decomposition, allowing for precise control over the generation of steady-state H<sub>2</sub>O<sub>2</sub> concentration and enhanced diffusion powered by glucose within the cellular microenvironment. We further demonstrated that at low dosages of nanorobots, the steady-state H<sub>2</sub>O<sub>2</sub> generation promotes cell migration and proliferation, while higher dosages of nanorobots slow down cell proliferation. The proposed design of this biocompatible nanorobot is intended to enable communication with the environment and provide a noninvasive, biochemical command system for regulating cellular behavior. Additionally, we show proof of principle of a method by which nanorobots can augment wound healing and similar regenerative therapies.

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Publication Details

Journal
ACS Nano
Published
2025-06-17
DOI
https://doi.org/10.1021/acsnano.5c02092
Citations
5
Primary Topic
Micro and Nano Robotics
Type
article
Field-Weighted Citation Impact
6.29

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article

Nanorobot-Cell Communication via In Situ Generation of Biochemical Signals: Toward Regenerative Therapies

Martin Pumera, Xiaohui Ju, Roshan Velluvakandy
5 citations
ACS Nano
Micro and Nano Robotics
6.29
article

Nanorobot-Cell Communication via In Situ Generation of Biochemical Signals: Toward Regenerative Therapies

Martin Pumera, Xiaohui Ju, Roshan Velluvakandy
article en
5 citations

Abstract

Achieving precise control of cellular processes drives possibilities for next-generation therapeutic approaches. However, existing technologies for influencing cell behavior primarily rely on specific drug delivery, limiting their ability to mimic natural cellular communication processes. In this work, we developed glucose-powered gold-silica (Au-SiO<sub>2</sub>) nanorobots that induce cell migration by generating steady-state hydrogen peroxide (H<sub>2</sub>O<sub>2</sub>) as a biochemical signaling molecule to mimic natural cellular communication with high spatial resolution. These nanorobots leverage the unique 2-in-1 catalytic activity of gold nanoparticles for glucose oxidation and H<sub>2</sub>O<sub>2</sub> decomposition, allowing for precise control over the generation of steady-state H<sub>2</sub>O<sub>2</sub> concentration and enhanced diffusion powered by glucose within the cellular microenvironment. We further demonstrated that at low dosages of nanorobots, the steady-state H<sub>2</sub>O<sub>2</sub> generation promotes cell migration and proliferation, while higher dosages of nanorobots slow down cell proliferation. The proposed design of this biocompatible nanorobot is intended to enable communication with the environment and provide a noninvasive, biochemical command system for regulating cellular behavior. Additionally, we show proof of principle of a method by which nanorobots can augment wound healing and similar regenerative therapies.

ACS NanoVol. 19(25)
Central European Institute of Technology (CZ), VSB - Technical University of Ostrava (CZ), China Medical University (TW), China Medical University Hospital (TW), Brno University of Technology (CZ)
Ministerstvo Školství, Mládeže a Tělovýchovy, Grantová Agentura České Republiky, Central European Institute of Technology, European Regional Development Fund
Openalex Percentile: Top 3%
Micro and Nano Robotics
6.29
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