Evidence map›Paper›PMID 39925709›Full record

ArticleBioactive materials2025

Endogenous electric field-driven neuro-immuno-regulatory scaffold for effective diabetic wound healing.

Zhiqing Liu, Tianlong Wang, Jinhui Zhao, Lei Zhang, Yiping Luo, Yixing Chen, Xinhui Wu, Yaqi Liu, Aihemaitijiang Aierken, Dilixiati Duolikun and 7 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Bioactive materials, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
  2. Article
  3. Advancements in Functional Polymeric Scaffolds for Scar-Free Skin Regeneration.Polymer science & technology (Washington, D.C.) · 2026
    Review
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  5. Article
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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

17 authors.

Zhiqing LiuDepartment of Orthopedics, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, 200072, China.
Tianlong WangDepartment of Orthopedics, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, 200072, China.
Jinhui ZhaoDepartment of Orthopedics, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, 200072, China.
Lei ZhangDepartment of Orthopedics, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, 200072, China.
Yiping LuoDepartment of Orthopedics, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, 200072, China.
Yixing ChenDepartment of Orthopedics, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, 200072, China.
Xinhui WuDepartment of Orthopedics, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, 200072, China.
Yaqi LiuDepartment of Orthopedics, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, 200072, China.
Aihemaitijiang AierkenDepartment of Orthopedics, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, 200072, China.
Dilixiati DuolikunDepartment of Orthopedics, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, 200072, China.
Hui JiangDepartment of Orthopedics, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, 200072, China.
Xinyu ZhaoDepartment of Orthopedics, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, 200072, China.
Chang LiDepartment of Orthopedics, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, 200072, China.
Yingchuan LiDepartment of Critical Care Medicine, School of Medicine, Shanghai Tenth People's Hospital, Tongji University, Shanghai, China.
Wentao CaoDepartment of Prosthodontics, Shanghai Stomatological Hospital & School of Stomatology, Fudan University, Shanghai, 201102, China.
Jianzhong DuDepartment of Orthopedics, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, 200072, China.
Longpo ZhengDepartment of Orthopedics, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, 200072, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The pathological microenvironment in diabetic wounds is delineated by heightened inflammatory responses and persistent proinflammatory macrophage activity, which significantly hinders the wound healing process. Exogenous electrical stimulation (ES), by modulating the electric field distribution in wounds, has shown significant potential in treating inflammatory wounds. However, this approach relies on additional power sources and complex circuit designs. Here, a bionic neuro-immuno-regulatory (BNIR) system was proposed for reshaping the endogenous electric fields (EFs) through collecting ion flow. The BNIR system comprises microporous structure scaffolds and nanosheets, enabling swift biofluid collection and electrical signal transmission, with the ability to promote cell proliferation and migration and exhibit antioxidant properties. More importantly, the BNIR system induced the transition of M1 macrophages to M2 macrophages through neuro-immuno-regulatory. In diabetic rat skin wounds, the BNIR system significantly enhanced healing by simultaneously neuro-immuno-regulatory, promoting angiogenesis, scavenging ROS, and facilitating tissue remodeling. This work aims to advance the development of a bionic system for electrosensitive tissue repair.

Indexed as

Conductive scaffoldDiabetic wound healingEndogenous electric fieldNeuro-immuno-regulatoryWound exudate management

Identifiers

PMID39925709
PMCPMC11803221

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.