ArticleJournal of biomedical materials research. Part B, Applied biomaterials2023
The optimization of PLGA knitted mesh reinforced-collagen/chitosan scaffold for the healing of full-thickness skin defects.
Article in Journal of biomedical materials research. Part B, Applied biomaterials, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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.
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.
Who cites it
4 citing papers in PubMed, 6 citations in OpenAlex.
- Nanofibrous-Composite Hydrogels for Modulating Stem Cell Behavior.Cells, tissues, organs · 2026Review
- Stromal-Derived Factor-1 (SDF-1/CXCL12) and Skin Wound Healing Research at the Intersection Between Regenerative Biology and Medicine.International journal of molecular sciences · 2026Review
- Polysaccharide based biomaterials for advanced wound healing applications.Frontiers in cellular and infection microbiology · 2026Review
- The optimization of PLGA knitted mesh reinforced-collagen/chitosan scaffold for the healing of full-thickness skin defects.Journal of biomedical materials research. Part B, Applied biomaterials · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
Collagen-based scaffolds reveals promising to repair severe skin defects. The mechanical strength of collagen-based scaffold (CCS) limited its clinical application. Embedding poly(lactic-co-glycolic) acid (PLGA) knitted mesh into CCS improves the mechanical strength of the scaffold. This study was conducted to optimize the configuration of PLGA knitted mesh-collagen-chitosan scaffold (PCCS), and explore possible mechanisms. PLGA knitted mesh was embedded in CCS through freeze-drying method. With the PLGA knitted mesh located at the bottom, middle, or both bottom and top layers of the CCS, three kinds of PCCS were developed. A full-thickness skin wound model was established in Sprague Dawley rats to evaluate the therapeutic effects of different PCCS against CCS. The properties and healing effect of the scaffolds were investigated. Several growth factors and chemotactic factors, that is, VEGF, PDGF, CD31, α-SMA, TGF-β1, and TGF-β3 were analyzed and evaluated. Re-epithelialization and angiogenesis were observed in all animal groups with the treatment of three kinds of PCCS scaffolds and the CCS scaffold (control). The protein and gene expression of VEGF, PDGF, CD31, α-SMA, TGF-β1, and TGF-β3 showed different dynamics at different time points. Based on the healing effects and the expression of growth factors and chemotactic factors, scaffold with the PLGA knitted mesh located at the bottom layer of the CCS demonstrated the best healing effect and accelerated re-epithelialization and angiogenesis among all the scaffolds evaluated. PCCS with the PLGA mesh located in the bottom layer of the scaffold accelerated wound healing by creating a more supportive environment for re-epithelialization and angiogenesis.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.