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REVIEW article

Front. Bioeng. Biotechnol.

Sec. Tissue Engineering and Regenerative Medicine

Volume 13 - 2025 | doi: 10.3389/fbioe.2025.1675619

Photobiomodulation in fibroblasts: from light to healing through molecular pathways, omics and artificial intelligence

Provisionally accepted
Sarassunta  UcciSarassunta Ucci1*Eugenio  CaradonnaEugenio Caradonna2,3Anna  AlibertiAnna Aliberti1,3Andrea  CusanoAndrea Cusano1,3*
  • 1Optoeletronic group, Universita degli Studi del Sannio Dipartimento di Ingegneria, Benevento, Italy
  • 2Department of Clinical Pathology and Pathological Anatomy, Centro Diagnostico Italiano SpA, Milan, Italy
  • 3Centro Regionale Information Communication Technology scrl, Benevento, Italy

The final, formatted version of the article will be published soon.

Photobiomodulation (PBM), a non-invasive therapy that uses non-ionizing light in the visible to near-infrared spectrum, has proven to be a promising strategy for promoting tissue repair and regeneration. PBM has its roots in heliotherapy and low level light therapies and works by activating specific molecular pathways in the target cells. Among these, fibroblasts play a central role in mediating wound healing responses. This article provides a comprehensive overview of the mechanisms of action of PBM, focusing on the effects on fibroblast biology, including modulation of proliferation, migration and extracellular matrix remodeling. Recent advances in OMICs omics technologies and artificial intelligence (AI) provide new tools to unravel the complexity of PBM-induced signaling and optimize therapeutic protocols. By integrating data-rich approaches and systems-level analysis, this work highlights the potential of PBM as a precision-guided regenerative modality and underscores the need for further translational studies to support its clinical application.

Keywords: photobiomodulation, Fibroblasts, Wound Healing, Regenerative Medicine, OMICsomics, artificial intelligence, molecular signaling

Received: 29 Jul 2025; Accepted: 06 Oct 2025.

Copyright: © 2025 Ucci, Caradonna, Aliberti and Cusano. 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) or licensor 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:
Sarassunta Ucci, saucci@unisannio.it
Andrea Cusano, acusano@unisannio.it

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.