Evidence map›Paper›PMID 42827784›Full record

ReviewFrontiers in bioengineering and biotechnology2026

Photobiomodulation for skeletal muscle regeneration: mechanisms, dosimetry, and translational challenges.

Ryan Ahmed, Kevin L Zhang, Rabab Hamzah, N Sertac Artan, Karrer Alghazali

Abstract readReview
In one paragraph

Review in Frontiers in bioengineering and biotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Ryan AhmedDepartment of Electrical and Computer Engineering, New York Institute of Technology, New York, NY, United States.
Kevin L ZhangTissue Engineering and Advanced Materials (TEAM) Laboratory, Department of Electrical and Computer Engineering, College of Engineering and Computing Sciences, New York Institute of Technology, Old Westbury, NY, United States.
Rabab HamzahTissue Engineering and Advanced Materials (TEAM) Laboratory, Department of Electrical and Computer Engineering, College of Engineering and Computing Sciences, New York Institute of Technology, Old Westbury, NY, United States.
N Sertac ArtanDepartment of Electrical and Computer Engineering, New York Institute of Technology, New York, NY, United States.
Karrer AlghazaliDepartment of Electrical and Computer Engineering, New York Institute of Technology, New York, NY, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Photobiomodulation (PBM) has gained increasing attention as a non-invasive modality for enhancing skeletal muscle recovery; however, its clinical translation remains limited by inconsistencies in dosimetry, methodology, and reporting across studies. This review synthesizes over two decades of preclinical and clinical research to evaluate how key parameters such as wavelength, irradiance, fluence, pulse structure, and timing affect muscle regeneration. Evidence indicates that red and near-infrared light modulate mitochondrial cytochrome c oxidase activity, promoting nitric oxide dissociation, increasing ATP production, and inducing controlled reactive oxygen species (ROS) signaling that supports satellite cell activation, angiogenesis, and anti-inflammatory responses. These effects follow a biphasic dose-response relationship and are strongly influenced by tissue optical properties, which differ significantly between animal models and humans, contributing to variability in clinical outcomes. This review highlights critical challenges, including uncertainties in light delivery and tissue-level dose deposition. This review outlines recommendations to improve reproducibility, including standardized dosimetry, radiometric calibration, and integration of PBM with exercise-based rehabilitation. Emerging approaches, such as Monte Carlo light transport modeling and patient-specific optical simulations, are discussed as promising strategies for personalized treatment planning. Collectively, these advances support the transition of PBM from an empirical intervention toward a mechanistically guided and clinically reliable therapy for skeletal muscle regeneration.

Indexed as

artificial intelligencecytochrome c oxidasedosimetrylight transportlow-level laser therapymitochondriaMonte Carlo simulationmuscle regeneration

Identifiers

PMID42827784
PMCPMC13630729

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.