Evidence map›Paper›PMID 42787827›Full record

ArticleBurns & trauma2026

Innovative research on predicting skin flaps necrosis through quantification of the USP4/TNFAIP2 regulated 'M1 macrophages-Tregs axis' via skin barrier monitoring technology.

Xuanlong Zhang, Xiaoqiong Jiang, Shenjie Song, Kaiyi Du, Hongxin Wang, Zihan Zhang, Yu Wang, Xiangwei Ling, Qingfeng Li

Abstract read
In one paragraph

Article in Burns & trauma, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Xuanlong ZhangDepartment of Plastic and Reconstructive Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, 639 Zhizaoju Road, Huangpu District, Shanghai 200011, China.
Xiaoqiong JiangSchool of Nursing, Wenzhou Medical University, Chashan University Town, Ouhai District, Wenzhou 325035, Zhejiang, China.
Shenjie SongSchool of Clinical Medicine, North Sichuan Medical College, 234 Fujiang Road, Shunqing District, Nanchong 637000, Sichuan, China.
Kaiyi DuSchool of Pharmaceutical Sciences, Wenzhou Medical University, Chashan University Town, Ouhai District, Wenzhou 325035, Zhejiang, China.
Hongxin WangSchool of Nursing, Wenzhou Medical University, Chashan University Town, Ouhai District, Wenzhou 325035, Zhejiang, China.
Zihan ZhangSchool of Nursing, Wenzhou Medical University, Chashan University Town, Ouhai District, Wenzhou 325035, Zhejiang, China.
Yu WangDepartment of Medical Engineering, The First Affiliated Hospital of Wenzhou Medical University, Ouhai District, Wenzhou 325000, Zhejiang, China.
Xiangwei LingBurn Department, The First Affiliated Hospital of Wenzhou Medical University, Ouhai District, Wenzhou 325000, Zhejiang, China.
Qingfeng LiDepartment of Plastic and Reconstructive Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, 639 Zhizaoju Road, Huangpu District, Shanghai 200011, China.ORCID https://orcid.org/0000-0002-6954-2583

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Current methods used for assessing random-pattern skin flaps (RPSFs) viability are invasive and subjective. Therefore, this study aimed to establish an accurate and non-invasive method for predicting RPSFs prognosis using skin barrier monitoring technology. Methods: Gene ontology (GO) analysis was employed to identify the potential pathways associated with RPSFs necrosis. Skin barrier monitoring technology, immunohistochemistry (IHC), immunofluorescence (IF), and western blotting (WB) were employed to assess skin barrier integrity, quantify ferroptosis level, and evaluate the recruitment of M1 macrophages and regulatory T cells (Tregs). Clinical samples were also included to validate the accuracy and efficacy of skin barrier monitoring technology in predicting RPSFs necrosis. Results: The necrotic process in RPSFs was characterized by increased infiltration of M1 macrophages and Tregs, accompanied by activated ferroptosis and dysfunction of skin barrier. Notably, Tregs infiltration significantly reduced the necrotic area and restored skin barrier integrity of RPSFs by inhibiting ferroptosis and polarization of M1 macrophages. Mechanistically, USP4 regulated the interaction of M1 macrophages and Tregs (M1 macrophages-Tregs axis) via stabilization of TNFAIP2. Analysis of clinical samples revealed that skin barrier monitoring technology could serve as predictive strategy for RPSFs necrosis. Conclusions: This study demonstrated that the USP4/TNFAIP2 pathway would regulate skin barrier function and ferroptosis via 'M1 macrophages-Tregs axis' in RPSFs. And the skin barrier monitoring technology could serve as reliable method for RPSFs necrosis prediction.

Indexed as

FerroptosisMacrophagesSkin barrierSkin flapsTNFAIP2TregsUSP4

Identifiers

PMID42787827
PMCPMC13602267

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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.