Evidence map›Paper›PMID 39800364›Full record

ArticleInternational wound journal2025

Comparison of cell-scaffold interactions in a biological and a synthetic wound matrix.

Joon Pio Hong, Joanneke Maitz, Matthias Mörgelin

Abstract readComparative Study
In one paragraph

Article in International wound journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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

3 authors.

Joon Pio HongDepartment of Plastic Surgery, Asan Medical Center, University of Ulsan, Ulsan, South Korea.
Joanneke MaitzBurns & Reconstructive Surgery Research Group, ANZAC Research Institute, Concord Hospital, Sydney, Australia.
Matthias MörgelinColzyx AB, Medicon Village, Lund, Sweden.ORCID https://orcid.org/0000-0002-6212-6990

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wound healing is a central physiological process that restores the barrier properties of the skin after injury, comprising close coordination between several cell types (including fibroblasts and macrophages) in the wound bed. The complex mechanisms involved are executed and regulated by an equally complex, reciprocal signalling network involving numerous signalling molecules such as catabolic and anabolic inflammatory mediators (e.g., cytokines, chemokines). In chronic wound environments, the balance in the molecular signatures of inflammatory mediators is usually impaired. Thus, we compared the ability of a collagen-based wound matrix against a synthetic wound matrix to attract fibroblasts and macrophages that deliver these signalling molecules. In particular, the balance between pro- and anti- inflammatory cytokine secretion was assessed. We found that the natural collagen-based matrix was the most efficient adhesive substrate to recruit and activate fibroblasts and macrophages on its surface. These cells secreted a variety of cytokines, and the natural biomaterial exhibited a more balanced secretion of pro- and anti-inflammatory mediators than the synthetic comparator. Thus, our study highlights the ability of native collagen matrices to modulate inflammatory mediator signatures in the wound bed, indicating that such devices may be beneficial for wound healing in the clinical setting.

Indexed as

CollagenExtracellular MatrixFibroblastsMacrophagesTissue ScaffoldsWound HealingWounds and InjuriesAnimalsCells, CulturedCytokinesHumansCollagenCytokinesextracellular matrixfibrillar collagensinflammation mediatorstissue scaffoldswound healing

Identifiers

PMID39800364
PMCPMC11725368

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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.