Evidence map›Paper›PMID 41964908›Full record

ReviewProtein & cell2026

Next-generation skin wound healing related disease models with integration of immune cells.

Yutong Yuan, Shan Zhu, Yuanbo Liu, Yu Yao, Jing Zhang, Xiaoran Li, Yuan Gao, Zilin Zhang, Boyang Song, Jun Ouyang and 6 more

Abstract readReview
In one paragraph

Review in Protein & cell, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Skin innervation and itsFrontiers in cellular neuroscience · 2026
    Review
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

16 authors.

Yutong YuanPlastic Surgery Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100144, China.ORCID 0000-0003-4056-6538
Shan ZhuPlastic Surgery Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100144, China.
Yuanbo LiuPlastic Surgery Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100144, China.
Yu YaoPlastic Surgery Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100144, China.ORCID 0009-0000-7906-4223
Jing ZhangJiangsu Avatarget Biotechnology Co., Ltd, Suzhou 215163, China.
Xiaoran LiJiangsu Avatarget Biotechnology Co., Ltd, Suzhou 215163, China.
Yuan GaoPlastic Surgery Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100144, China.ORCID 0009-0002-1507-8620
Zilin ZhangState Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, China.
Boyang SongJiangsu Avatarget Biotechnology Co., Ltd, Suzhou 215163, China.
Jun OuyangJiangsu Avatarget Biotechnology Co., Ltd, Suzhou 215163, China.
Juan ZhangState Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, China.
Qiwei LiJiangsu Avatarget Biotechnology Co., Ltd, Suzhou 215163, China.
Zaozao ChenPlastic Surgery Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100144, China.ORCID 0000-0001-8922-370X
Zhonze GuState Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, China.
Ningbei YinPlastic Surgery Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100144, China.ORCID 0000-0002-4657-3723
Nuo SiPlastic Surgery Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100144, China.ORCID 0000-0002-1985-3420

Funding

CAMS Innovation Fund for Medical Sciences 2021-I2M-1-052CAMS Plastic Surgery Hospital Institutional Fund YSZ2024CG002Open Research Fund of the State Key Laboratory of Digital Medical EngineeringSoutheast University 2025-M04
6 · The paper itself

Abstract

Impaired wound healing and pathological scarring remain major clinical challenges, with immune cell dysregulation being a key driver of disease progression. Conventional in vitro models fail to recapitulate human immune responses, limiting their translational relevance. In recent years, advances in tissue engineering and microfluidic technologies have driven growing efforts to incorporate immune cells into in vitro models, thereby improving their ability to mimic pathological microenvironments. Among these, organ-on-a-chip technology stands out for its capacity to replicate dynamic perfusion, mechanical stimulation, and multicellular crosstalk-features critical for modeling immune-mediated wound repair. This review systematically summarizes recent progress in immune cell-integrated models of aberrant wound healing, including two-dimensional co-cultures, three-dimensional static cultures, organoid systems, and organ-on-a-chip platforms. We highlight core strategies for immune cell integration and their roles in recapitulating key pathological processes such as inflammation and fibrosis. Despite ongoing challenges in cell source stability, model standardization, and long-term culture viability, emerging strategies (e.g., organ-on-a-chip combined with three-dimensional bioprinting or modular design) offer new opportunities for creating biomimetic, high-throughput platforms for wound research. This review aims to facilitate the adoption of immune-integrated in vitro models in wound healing research, deepen mechanistic understanding of immune-driven pathology, and accelerate the development of precision therapeutics.

Indexed as

Models, BiologicalSkinWound HealingAnimalsCoculture TechniquesHumansMicrophysiological SystemsTissue Engineeringaberrant wound healingimmune microenvironmentin vitro modelorgan-on-a-chippathological scarring

Identifiers

PMID41964908
PMCPMC13429467

What Socratic holds

Textmetadata
LicenceCC BY
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.