Evidence map›Paper›PMID 23762223›Full record

ArticlePloS one2013

Novel biodegradable porous scaffold applied to skin regeneration.

Hui-Min Wang, Yi-Ting Chou, Zhi-Hong Wen, Chau-Zen Wang, Zhao-Ren Wang, Chun-Hong Chen, Mei-Ling Ho

Erratum issuedAbstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing 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

51 citing papers in PubMed.

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  20. [The research advances of three dimensional porous cryogel for tissue engineering].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2021
    Review
4 · The record

Corrections and comments

  • Erratum issued
    Wang, Zhao-Ren [corrected to Wang, Chau-Zen]
5 · Who and what money

Authors and funding

7 authors.

Hui-Min WangDepartment of Fragrance and Cosmetic Science, Kaohsiung Medical University, Kaohsiung, Taiwan.
Yi-Ting Chou
Zhi-Hong Wen
Chau-Zen Wang
Zhao-Ren Wang
Chun-Hong Chen
Mei-Ling Ho

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Skin wound healing is an important lifesaving issue for massive lesions. A novel porous scaffold with collagen, hyaluronic acid and gelatin was developed for skin wound repair. The swelling ratio of this developed scaffold was assayed by water absorption capacity and showed a value of over 20 g water/g dried scaffold. The scaffold was then degraded in time- and dose-dependent manners by three enzymes: lysozyme, hyaluronidase and collagenase I. The average pore diameter of the scaffold was 132.5±8.4 µm measured from SEM images. With human skin cells growing for 7 days, the SEM images showed surface fractures on the scaffold due to enzymatic digestion, indicating the biodegradable properties of this scaffold. To simulate skin distribution, the human epidermal keratinocytes, melanocytes and dermal fibroblasts were seeded on the porous scaffold and the cross-section immunofluorescent staining demonstrated normal human skin layer distributions. The collagen amount was also quantified after skin cells seeding and presented an amount 50% higher than those seeded on culture wells. The in vivo histological results showed that the scaffold ameliorated wound healing, including decreasing neutrophil infiltrates and thickening newly generated skin compared to the group without treatments.

Indexed as

Cell ProliferationTissue EngineeringTissue ScaffoldsWound HealingAnimalsCarbodiimidesCells, CulturedCoculture TechniquesCollagenCross-Linking ReagentsFibroblastsFluorescent Antibody TechniqueGelatinHumansHyaluronic AcidKeratinocytes1-ethyl-3-(3-(diethylamino)propyl)carbodiimideCarbodiimidesCollagenCross-Linking ReagentsGelatinHyaluronic Acid

Identifiers

PMID23762223
PMCPMC3677897

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.