Evidence map›Paper›PMID 41278507›Full record

ArticleSmart medicine2025

Polydopamine-Integrated Porcine Small Intestine Decellularized Extracellular Matrix Hydrogel Microparticles for Wound Healing.

Shangrui Rao, Hongzheng Li, Letian Meng, Lijun Cai, Weijian Sun, Yuyang Zhang

Abstract read
In one paragraph

Article in Smart medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

6 authors.

Shangrui RaoDepartment of Colorectal and Anal Surgery The First Affiliated Hospital of Wenzhou Medical University Wenzhou China.
Hongzheng LiDepartment of Colorectal and Anal Surgery The First Affiliated Hospital of Wenzhou Medical University Wenzhou China.
Letian MengDepartment of Colorectal and Anal Surgery The First Affiliated Hospital of Wenzhou Medical University Wenzhou China.
Lijun CaiDepartment of Materials Science and Engineering College of Design and Engineering National University of Singapore Singapore Singapore.
Weijian SunDepartment of Colorectal and Anal Surgery The First Affiliated Hospital of Wenzhou Medical University Wenzhou China.
Yuyang ZhangDepartment of Gynecology The First Affiliated Hospital of Wenzhou Medical University Wenzhou China.ORCID https://orcid.org/0000-0002-6524-8133

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Decellularized materials show good prospects in wound healing. Current research focuses on developing advanced decellularized scaffolds and designing multifunctional structures to enhance tissue repair. In this study, a kind of polydopamine (PDA)-integrated decellularized porcine small intestine tissue (dSI) and alginate (ALG) composite hydrogel microparticles (PDA@dSI/ALG) are proposed for efficient wound healing. These PDA@dSI/ALG are prepared via microfluidic electrospray technology combined with ionic crosslinking, followed by PDA coating. The dSI is derived from porcine small intestine tissue and is rich in various nutrients, which can promote the repair of damaged tissues. Moreover, incorporating PDA imparts the microparticles with superior photothermal responsiveness under near-infrared irradiation, enabling efficient heat generation to eradicate bacteria. Overall, the PDA@dSI/ALG composite hydrogel microparticles combine extracellular matrix support with photothermal antibacterial function, underscoring their translational potential for future wound healing strategies.

Indexed as

decellularized extracellular matrixmicroparticlespolydopamineporcine small intestinewound healing

Identifiers

PMID41278507
PMCPMC12631813

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.