Evidence map›Paper›PMID 33584096›Full record

ArticleInternational journal of nanomedicine2021

Nanostructured Cellulose-Gellan-Xyloglucan-Lysozyme Dressing Seeded with Mesenchymal Stem Cells for Deep Second-Degree Burn Treatment.

Carolina Maria Costa de Oliveira Souza, Clayton Fernandes de Souza, Bassam Felipe Mogharbel, Ana Carolina Irioda, Celia Regina Cavichiolo Franco, Maria Rita Sierakowski, Katherine Athayde Teixeira de Carvalho

Abstract read
In one paragraph

Article in International journal of nanomedicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Review
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  3. Article
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  5. Article
  6. Review
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  10. Mesenchymal Stem Cells in Burn Wound Management.International journal of molecular sciences · 2022
    Review
  11. 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

7 authors.

Carolina Maria Costa de Oliveira SouzaStem Cell Research Laboratory, Cell Therapy and Biotechnology in Regenerative Medicine Department, Pequeno Príncipe Faculties and the Pelé Pequeno Príncipe Research Institute, Curitiba, Paraná, Brazil.ORCID 0000-0001-8483-5352
Clayton Fernandes de SouzaChemistry Undergraduate Program, School of Education and Humanities, Pontifícia Universidade Católica Do Paraná, Curitiba, Paraná, Brazil.ORCID 0002-3968-4185
Bassam Felipe MogharbelStem Cell Research Laboratory, Cell Therapy and Biotechnology in Regenerative Medicine Department, Pequeno Príncipe Faculties and the Pelé Pequeno Príncipe Research Institute, Curitiba, Paraná, Brazil.ORCID 0000-0002-1338-0693
Ana Carolina IriodaStem Cell Research Laboratory, Cell Therapy and Biotechnology in Regenerative Medicine Department, Pequeno Príncipe Faculties and the Pelé Pequeno Príncipe Research Institute, Curitiba, Paraná, Brazil.ORCID 0000-0002-5236-4928
Celia Regina Cavichiolo FrancoMolecular Biology Department, Federal University of Paraná, Curitiba, Paraná, Brazil.ORCID 0000-0003-2525-7788
Maria Rita SierakowskiBioPol, Chemistry Department, Federal University of Paraná, Curitiba, Paraná, Brazil.ORCID 0000-0002-8061-1199
Katherine Athayde Teixeira de CarvalhoStem Cell Research Laboratory, Cell Therapy and Biotechnology in Regenerative Medicine Department, Pequeno Príncipe Faculties and the Pelé Pequeno Príncipe Research Institute, Curitiba, Paraná, Brazil.ORCID 0000-0003-4860-2855

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeIn deep burns, wound contraction and hypertrophic scar formation can generate functional derangement and debilitation of the affected part. In order to improve the quality of healing in deep second-degree burns, we developed a new treatment in a preclinical model using nanostructured membranes seeded with mesenchymal stem cells (MSCs).

methodsMembranes were obtained by reconstitution of bacterial cellulose (reconstituted membrane [RM]) and produced by a dry-cast process, then RM was incorporated with 10% tamarind xyloglucan plus gellan gum 1:1 and 10% lysozyme (RMGT-LZ) and with 10% gellan gum and 10% lysozyme (RMG-LZ). Membrane hydrophobic/hydrophilic characteristics were investigated by static/dynamic contact-angle measurements. They were cultivated with MSCs, and cell adhesion, proliferation, and migration capacity was analyzed with MTT assays. Morphological and topographic characteristics were analyzed by scanning electron microscopy. MSC patterns in flow cytometry and differentiation into adipocytes and osteocytes were checked. In vivo assays used RMG-LZ and RMGT-LZ (with and without MSCs) in

resultsIn vitro results demonstrated carboxyl and amine groups made the membranes moderately hydrophobic and xyloglucan inclusion decreased wettability, favoring MSC adhesion, proliferation, and differentiation. In vivo, we obtained 40% and 60% reduction in acute/chronic inflammatory infiltrates, 96% decrease in injury area, increased vascular proliferation and collagen deposition, and complete epithelialization after 30 days. MSCs were detected in burned tissue, confirming they had homed and proliferated in vivo.

conclusionNanostructured cellulose-gellan-xyloglucan-lysozyme dressings, especially when seeded with MSCs, improved deep second-degree burn regeneration.

Indexed as

BandagesAnimalsBlood VesselsBurnsCell AdhesionCell DifferentiationCell ProliferationCelluloseCollagenGlucansInflammationMaleMesenchymal Stem CellsMesenchymal Stem Cell TransplantationMuramidaseNanostructuresCelluloseCollagengellan gumGlucansMuramidasePolysaccharides, BacterialXylansxyloglucancell-based therapyhydrocolloid dressingskintransplantation

Identifiers

PMID33584096
PMCPMC7875079

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.