Evidence map›Paper›PMID 34022941›Full record

ArticleJournal of biological engineering2021

Enhanced wound repair ability of arginine-chitosan nanocomposite membrane through the antimicrobial peptides-loaded polydopamine-modified graphene oxide.

Chuan Fu, Zhiping Qi, Chengliang Zhao, Weijian Kong, Hongru Li, Wenlai Guo, Xiaoyu Yang

Open access · goldAbstract read
In one paragraph

Article in Journal of biological engineering, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.8field-weighted citation impact, top 9% of its field
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

15 citing papers in PubMed, 45 citations in OpenAlex.

  1. Recent Applications of Chitosan-Based Biomaterials as Wound Dressings.International journal of molecular sciences · 2026
    Review
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  3. Extraction of Active Compounds fromMaterials (Basel, Switzerland) · 2025
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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

7 authors at 3 institutions in 1 country.

Chuan FuDepartment of Orthopaedic Surgery, The Second Hospital of Jilin University, Changchun, 130021, China.
Zhiping QiDepartment of Orthopaedic Surgery, The Second Hospital of Jilin University, Changchun, 130021, China.
Chengliang ZhaoDepartment of Spinal Surgery, The Affiliated Hospital of Qingdao University, Qingdao, 266000, China.
Weijian KongDepartment of Orthopaedic Surgery, The Second Hospital of Jilin University, Changchun, 130021, China.
Hongru LiDepartment of Orthopaedic Surgery, The Second Hospital of Jilin University, Changchun, 130021, China.
Wenlai GuoDepartment of Spinal Surgery, The Affiliated Hospital of Qingdao University, Qingdao, 266000, China. guowl16@mails.jlu.edu.cn.ORCID http://orcid.org/0000-0002-8629-8244
Xiaoyu YangDepartment of Orthopaedic Surgery, The Second Hospital of Jilin University, Changchun, 130021, China. yangxiaoy@jlu.edu.cn.
Second Affiliated Hospital of Jilin University · CNQingdao University · CNJilin University · CN

Funding

Jilin Province Educational Science Research Project JJKH20211168KJJilin Provincial Science and Technology Agency Foundation, Key Research and Development Projects 20200404137YYNational Major Science and Technology Projects of China 2018ZX09J18103
6 · The paper itself

Abstract

Skin wound healing is a complicated and lengthy process, which is influenced by multiple factors and need a suitable cellular micro-environment. For skin wound, wound dressings remain a cornerstone of dermatologic therapy at present. The dressing material can create an effective protective environment for the wound, and the interactions between the dressing and the wound has a great impact on the wound healing efficiency. An ideal wound dressing materials should have good biocompatibility, moisturizing property, antibacterial property and mechanical strength, and can effectively prevent wound infection and promote wound healing. In this study, in order to design wound dressing materials endowed with excellent antibacterial and tissue repair properties, we attempted to load antimicrobial peptides onto dopmine-modified graphene oxide (PDA@GO) using lysozyme (ly) as a model drug. Then, functionalized GO was used to the surface modification of arginine-modified chitosan (CS-Arg) membrane. To evaluate the potential of the prepared nanocomposite membrane in wound dressing application, the surface morphology, hydrophilic, mechanical properties, antimicrobial activity, and cytocompatibility of the resulting nanocomposite membrane were analyzed. The results revealed that prepared nanocomposite membrane exhibited excellent hydrophilic, mechanical strength and antimicrobial activity, which can effectively promote cell growth and adhesion. In particular, using PDA@GO as drug carrier can effectively maintain the activity of antimicrobial peptides, and can maximize the antibacterial properties of the nanocomposite membrane. Finally, we used rat full-thickness wound models to observe wound healing, and the surface interactions between the prepared nanocomposite membrane and the wound. The results indicated that nanocomposite membrane can obviously accelerated wound closure, and the wounds showed reduced inflammation, improved angiogenesis and accelerated re-epithelialization. Therefore, incorporation of antimicrobial peptides-functionalize graphene oxide (ly-PDA@GO) into CS-Arg membrane was a viable strategy for fabricating excellent wound dressing. Together, this study not only prepared a wound dressing with excellent tissue repair ability, but also provided a novel idea for the development of graphene oxide-based antibacterial dressing.

Indexed as

Antimicrobial peptidesArginineChitosanGraphene oxideWound dressing

Identifiers

PMID34022941
PMCPMC8141257
OpenAlexW3136292923

What OpenQuestion 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 OpenQuestion graph.