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EDITORIAL article

Front. Cell Dev. Biol., 19 August 2025

Sec. Cellular Biochemistry

Volume 13 - 2025 | https://doi.org/10.3389/fcell.2025.1679902

This article is part of the Research TopicProgress in the Application of Biomaterials and Nanotechnology in Cell BiologyView all 6 articles

Editorial: Progress in the application of biomaterials and nanotechnology in cell biology

  • 1Faculty of Health Sciences, University of Macau, Macau, Macao SAR, China
  • 2MoE Frontiers Science Center for Precision Oncology, University of Macau, Macau, Macao SAR, China

The integration of biomaterials and nanotechnology is revolutionizing cell biology, as exemplified by the pioneering studies in this Research Topic. Exosome-mediated co-delivery of curcumin and methylene blue (Yang et al.) demonstrates synergistic neuroprotection in Alzheimer’s models, leveraging exosomes’ blood-brain barrier permeability to modulate autophagy and reduce amyloid-β toxicity. Simultaneously, mechanobiology insights emerge from adipose regeneration research (Ye et al.), where dynamic force transduction activates YAP/β-catenin signaling, guiding scaffold design for transplanted adipocyte survival. Complementing therapeutic innovation, fluorescent carbon dots (CDs) within PEC-GS/BG hybrids (Zhang et al.) achieve real-time cellular tracking with minimal cytotoxicity, exemplifying how nanoscale optical probes illuminate intracellular dynamics. Theranostic convergence is further evident in miRNA-nanomedicine systems (Telkoparan-Akillilar et al.), where tumor-targeted nanoparticles exploit endogenous regulatory pathways for combinatorial gene/chemotherapy, while precision nanomedicine advances (Mao et al.) highlight biomarker-responsive nanomaterials enabling patient-specific cancer diagnosis and treatment.

Collectively, these studies underscore certain transformative trends, including multifunctionality in nanocarriers, bidirectional material-cell communication, and closed-loop diagnostic-therapeutic integration. Future progress hinges on decoding nano-bio interfaces at single-cell resolution and establishing scalable biomaterial manufacturing (Liu et al., 2023). As spatial omics and AI-driven design mature, next-generation platforms will likely transcend traditional compartmentalization, enabling real-time adaptation to cellular microenvironments (Jiang et al., 2025). This Research Topic crystallizes a pivotal shift toward predictive and participatory nanomedicine-where materials actively collaborate with biological systems to restore function.

Author contributions

LZ: Writing – original draft, Writing – review and editing.

Funding

The author(s) declare that no financial support was received for the research and/or publication of this article.

Conflict of interest

The author declares that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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The author(s) declare that no Generative AI was used in the creation of this manuscript.

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References

Jiang, P., Dai, Y., Hou, Y., Stein, J., Lin, S. S., Zhou, C., et al. (2025). Artificial intelligence-assisted design, synthesis and analysis of smart biomaterials. BMEMat, e70004. doi:10.1002/bmm2.70004

CrossRef Full Text | Google Scholar

Liu, H., Yu, H., and Li, J. (2023). Biomedical materials benefit health. BMEMat 1, e12013. doi:10.1002/bmm2.12013

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Keywords: nanotechology, biomaterials, regenerative medicine, drug delievery, nanomaterials (A)

Citation: Zhou L (2025) Editorial: Progress in the application of biomaterials and nanotechnology in cell biology. Front. Cell Dev. Biol. 13:1679902. doi: 10.3389/fcell.2025.1679902

Received: 05 August 2025; Accepted: 05 August 2025;
Published: 19 August 2025.

Edited and reviewed by:

Graça Soveral, University of Lisbon, Portugal

Copyright © 2025 Zhou. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Liqiang Zhou, bGlxaWFuZ3pob3VAdW0uZWR1Lm1v

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.