Evidence map›Paper›PMID 38845852›Full record

ArticleRegenerative biomaterials2024

Preparation and evaluation of decellularized epineurium as an anti-adhesive biofilm in peripheral nerve repair.

Xiao Li, Meihan Tao, Liang Quan, Hengtong Zhang, Yuan Xin, Xixi Wu, Xinyu Fang, Jun Fan, Xiaohong Tian, Xiaohong Wang and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Regenerative biomaterials, 2024. 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.

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

13 authors.

Xiao LiDepartment of Tissue Engineering, School of Intelligent Medicine, China Medical University, Shenyang, 110122, China.
Meihan TaoDepartment of Tissue Engineering, School of Intelligent Medicine, China Medical University, Shenyang, 110122, China.
Liang QuanNMPA Key Laboratory for Quality Research and Control of Tissue Regenerative Biomaterial & Institute of Regulatory Science for Medical Device & National Engineering Research Center for Biomaterials, Sichuan University, Chengdu 610064, China.
Hengtong ZhangNMPA Key Laboratory for Quality Research and Control of Tissue Regenerative Biomaterial & Institute of Regulatory Science for Medical Device & National Engineering Research Center for Biomaterials, Sichuan University, Chengdu 610064, China.
Yuan XinNMPA Key Laboratory for Quality Research and Control of Tissue Regenerative Biomaterial & Institute of Regulatory Science for Medical Device & National Engineering Research Center for Biomaterials, Sichuan University, Chengdu 610064, China.
Xixi WuNMPA Key Laboratory for Quality Research and Control of Tissue Regenerative Biomaterial & Institute of Regulatory Science for Medical Device & National Engineering Research Center for Biomaterials, Sichuan University, Chengdu 610064, China.
Xinyu FangNMPA Key Laboratory for Quality Research and Control of Tissue Regenerative Biomaterial & Institute of Regulatory Science for Medical Device & National Engineering Research Center for Biomaterials, Sichuan University, Chengdu 610064, China.
Jun FanDepartment of Tissue Engineering, School of Intelligent Medicine, China Medical University, Shenyang, 110122, China.ORCID https://orcid.org/0000-0003-4570-7694
Xiaohong TianDepartment of Tissue Engineering, School of Intelligent Medicine, China Medical University, Shenyang, 110122, China.
Xiaohong WangDepartment of Tissue Engineering, School of Intelligent Medicine, China Medical University, Shenyang, 110122, China.
Lili WenDepartment of Tissue Engineering, School of Intelligent Medicine, China Medical University, Shenyang, 110122, China.
Tianhao YuThe VIP Department, School and Hospital of Stomatology, China Medical University, Liaoning Provincial Key Laboratory of Oral Diseases, Shenyang, 110001, China.
Qiang AoDepartment of Tissue Engineering, School of Intelligent Medicine, China Medical University, Shenyang, 110122, China.ORCID https://orcid.org/0000-0002-1309-1971

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Following peripheral nerve anastomosis, the anastomotic site is prone to adhesions with surrounding tissues, consequently impacting the effectiveness of nerve repair. This study explores the development and efficacy of a decellularized epineurium as an anti-adhesive biofilm in peripheral nerve repair. Firstly, the entire epineurium was extracted from fresh porcine sciatic nerves, followed by a decellularization process. The decellularization efficiency was then thoroughly assessed. Subsequently, the decellularized epineurium underwent proteomic analysis to determine the remaining bioactive components. To ensure biosafety, the decellularized epineurium underwent cytotoxicity assays, hemolysis tests, cell affinity assays, and assessments of the immune response following subcutaneous implantation. Finally, the functionality of the biofilm was determined using a sciatic nerve transection and anastomosis model in rats. The result indicated that the decellularization process effectively removed cellular components from the epineurium while preserving a number of bioactive molecules, and this decellularized epineurium was effective in preventing adhesion while promoting nerve repairment and functional recovery. In conclusion, the decellularized epineurium represents a novel and promising anti-adhesion biofilm for enhancing surgical outcomes of peripheral nerve repair.

Indexed as

anastomotic adhesionsanti-adhesiondecellularizationepineuriumperipheral nerveproteomics

Identifiers

PMID38845852
PMCPMC11153341

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.