Evidence map›Paper›PMID 39691071›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025

An Integrated Whole-Process Repair System with Programmed Regulation of Healing Performance Facilitates Urethral Wound Restoration and Scarless Reconstruction.

Wenzhuo Fang, Ying Wang, Kaile Zhang, Ming Yang, Meng Liu, Yangwang Jin, Xianjie Xiu, Yuhui Wang, Zhenwei Yu, Ranxing Yang and 1 more

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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  5. Review
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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

11 authors.

Wenzhuo FangDepartment of Urology, Affiliated Sixth People's Hospital, Shanghai Jiaotong University School of Medicine, No. 600 Yi-Shan Road, Shanghai, 200233, P. R. China.ORCID https://orcid.org/0009-0009-4870-3382
Ying WangDepartment of Urology, Affiliated Sixth People's Hospital, Shanghai Jiaotong University School of Medicine, No. 600 Yi-Shan Road, Shanghai, 200233, P. R. China.
Kaile ZhangDepartment of Urology, Affiliated Sixth People's Hospital, Shanghai Jiaotong University School of Medicine, No. 600 Yi-Shan Road, Shanghai, 200233, P. R. China.
Ming YangDepartment of Urology, Affiliated Sixth People's Hospital, Shanghai Jiaotong University School of Medicine, No. 600 Yi-Shan Road, Shanghai, 200233, P. R. China.
Meng LiuDepartment of Urology, Affiliated Sixth People's Hospital, Shanghai Jiaotong University School of Medicine, No. 600 Yi-Shan Road, Shanghai, 200233, P. R. China.
Yangwang JinDepartment of Urology, Affiliated Sixth People's Hospital, Shanghai Jiaotong University School of Medicine, No. 600 Yi-Shan Road, Shanghai, 200233, P. R. China.
Xianjie XiuDepartment of Urology, Affiliated Sixth People's Hospital, Shanghai Jiaotong University School of Medicine, No. 600 Yi-Shan Road, Shanghai, 200233, P. R. China.
Yuhui WangDepartment of Urology, Affiliated Sixth People's Hospital, Shanghai Jiaotong University School of Medicine, No. 600 Yi-Shan Road, Shanghai, 200233, P. R. China.
Zhenwei YuDepartment of Urology, Affiliated Sixth People's Hospital, Shanghai Jiaotong University School of Medicine, No. 600 Yi-Shan Road, Shanghai, 200233, P. R. China.
Ranxing YangDepartment of Urology, Affiliated Sixth People's Hospital, Shanghai Jiaotong University School of Medicine, No. 600 Yi-Shan Road, Shanghai, 200233, P. R. China.ORCID https://orcid.org/0000-0002-4670-7795
Qiang FuDepartment of Urology, Affiliated Sixth People's Hospital, Shanghai Jiaotong University School of Medicine, No. 600 Yi-Shan Road, Shanghai, 200233, P. R. China.ORCID https://orcid.org/0000-0001-5670-024X

Funding

2022 Shanghai Leading Talent Training Program 026Interdisciplinary Program of Shanghai Jiao Tong University YG2021QN102Interdisciplinary Program of Shanghai Jiao Tong University YG2022ZD020National Scientific Foundation of China 82100714National Scientific Foundation of China 82170694National Scientific Foundation of China 82370684Natural Science Foundation of Shanghai 20ZR1442100Program of Shanghai Sixth People's Hospital ynts202004
6 · The paper itself

Abstract

The harsh microenvironment of the urethral injury often carries high risks of early undesirable healing as well as late scar tissue formation. Indeed, the infection and inflammatory response in the early stages as well as blood vessel formation and tissue regeneration in the later stages fundamentally impact the outcomes of urethral wound healing. Innovatively, an integrated whole-process repair hydrogel (APF/C/L@dECM) is designed. After rigorous testing, it is found that hydrogels formed by hydrophobic association and double cross-linking of amide bonds can procedurally regulate wound healing in all phases to match the repair process. In rabbit models of urethral wound, APF/C/L@dECM hydrogel can achieve scarless reconstruction with significantly better results than other hydrogels. Noteworthily, multi-stage mechanistic explorations reveal the expression profiles of inflammation, vascularization, and extracellular matrix secretion-related genes in wound tissue at different times. In summary, this study develops an overall treatment for urethral injury through a whole-process repair system that promotes healthy healing of urethral wounds and prevents the formation of scar tissue.

Indexed as

CicatrixHydrogelsPlastic Surgery ProceduresUrethraWound HealingAnimalsDisease Models, AnimalMaleRabbitsHydrogelshydrogelscarless reconstructiontissue engineeringurethral injurywhole‐process repair

Identifiers

PMID39691071
PMCPMC11809434

What OpenQuestion holds

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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 OpenQuestion graph.