Evidence map›Paper›PMID 42893301›Full record

ArticleMaterials today. Bio2026

660 nm LED preconditioning programs mitochondrial signaling in BMSCs for functional tracheal cartilage regeneration.

Zhao An, Jiajun Zhang, Chao Wang, Yunlang She, Yong Xu, Haichao Zhou, Jiang Xia, Liang Guo, Minjie Ma, Lei Zhang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Materials today. Bio, 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

10 authors.

Zhao AnDepartment of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China.
Jiajun ZhangDepartment of Cardiovascular Surgery, Changhai Hospital, Shanghai, China.
Chao WangDepartment of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China.
Yunlang SheDepartment of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China.
Yong XuDepartment of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China.
Haichao ZhouDepartment of Orthopedics, Tongji Hospital, School of Medicine, Tongji University School of Medicine, Shanghai, China.
Jiang XiaDepartment of Orthopedics, Tongji Hospital, School of Medicine, Tongji University School of Medicine, Shanghai, China.
Liang GuoDepartment of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China.
Minjie MaDepartment of Thoracic Surgery, The First Hospital of Lanzhou University, Lanzhou, China.
Lei ZhangDepartment of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Stem-cell-based cartilage regeneration is limited not only by cell delivery, but also by the difficulty of establishing a stable and functionally competent regenerative cell state before implantation. Here, we report a photonic mitochondrial programming strategy in which 660 nm light-emitting diode (LED) irradiation preconditions bone marrow-derived mesenchymal stem cells (BMSCs) to enhance functional tracheal cartilage regeneration. BMSCs were seeded onto egg white-derived ring-shaped porous scaffolds and exposed to defined 660 nm LED irradiation before implantation. Among the tested irradiation conditions, 15 J/cm

Indexed as

660 nm LED irradiationChondrogenesisMitochondrial ROS signalingPhotobiomodulationPhotonic mitochondrial programming

Identifiers

PMID42893301
PMCPMC13676265

What OpenQuestion holds

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Registered trials

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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 OpenQuestion graph.